---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\oostrom.1\OneDrive - The Ohio State University\Research\Sponsorship_ClincialTrials\final-jpe\replication_oostrom\code\../tables/log.log
  log type:  text
 opened on:  22 Feb 2024, 17:29:16

. graph set window fontface "Times New Roman"

. 
. ****************
. ** Table 1 ****
. ****************
. clear matrix

. use "../derived/Combined/combined_pair_level.dta", clear

. drop if year==.
(342 observations deleted)

. foreach outcome in new_relative stdz_outcome_all sig5_outcome best_outcome new_relative_effect_perc {
  2.         *Only do the first column w/o controls
.         if "`outcome'" == "new_relative" {
  3.                 summ `outcome' [aw=weight]
  4.                 local mean `r(mean)'
  5. 
.                 areg `outcome' sponsor [aw=weight], a(factor) cluster(cluster_group)
  6.                 egen total = total(weight) if e(sample)==1
  7.                 summ total
  8.                 matrix combination_main_pair = nullmat(combination_main_pair), ///
>                         (_b[sponsor] \ _se[sponsor] \ `mean' \ `e(N)' \ `r(mean)' )
  9.                 drop total
 10.         }
 11.         summ `outcome' [aw=weight]
 12.         local mean `r(mean)'
 13. 
.         areg `outcome' sponsor i.scale_group i.year_group [aw=weight], a(factor) cluster(cluster_group)
 14.         egen total = total(weight) if e(sample)==1
 15.         summ total
 16.         matrix combination_main_pair = nullmat(combination_main_pair), (_b[sponsor] \ _se[sponsor] \ `mean' \ `e(N)' \ `r(mean)' )
 17.         drop total
 18. }

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(1, 508)         =  11.11
                                                    Prob > F          = 0.0009
                                                    R-squared         = 0.5585
                                                    Adj R-squared     = 0.4573
                                                    Root MSE          = 0.4141

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1813911   .0544096     3.33   0.001     .0744955    .2882867
       _cons |   .2630986   .0259288    10.15   0.000     .2121577    .3140395
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5704
                                                    Adj R-squared     = 0.4656
                                                    Root MSE          = 0.4108

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1710208   .0517406     3.31   0.001     .0693688    .2726728
             |
 scale_group |
          2  |  -.1297064   .0998713    -1.30   0.195    -.3259181    .0665053
          3  |          0  (omitted)
          4  |  -.2227134    .208968    -1.07   0.287    -.6332612    .1878345
          5  |  -.1810689   .2106724    -0.86   0.390    -.5949652    .2328275
          6  |  -.2055737   .2203947    -0.93   0.351     -.638571    .2274236
          7  |   .0874362   .2218864     0.39   0.694    -.3484918    .5233643
          8  |  -.2170886   .2218864    -0.98   0.328    -.6530166    .2188394
          9  |  -.0175081    .226913    -0.08   0.939    -.4633115    .4282953
         10  |  -.0803126   .2488714    -0.32   0.747    -.5692565    .4086313
         11  |  -.1706928   .2149728    -0.79   0.428    -.5930379    .2516523
         12  |   .0031565   .0936939     0.03   0.973    -.1809187    .1872318
             |
  year_group |
          5  |   -.262233    .065009    -4.03   0.000    -.3899527   -.1345133
          6  |  -.1879515   .3518104    -0.53   0.593     -.879134    .5032309
          7  |   .0706612   .2178136     0.32   0.746    -.3572651    .4985875
          8  |  -.0573615   .1765673    -0.32   0.745    -.4042535    .2895305
          9  |  -.1036738   .1702148    -0.61   0.543    -.4380854    .2307379
         10  |  -.1444358   .1744266    -0.83   0.408    -.4871222    .1982505
         11  |  -.2028943   .1765153    -1.15   0.251    -.5496842    .1438955
         12  |  -.1639057   .1778609    -0.92   0.357    -.5133392    .1855277
         13  |  -.1397409   .1803751    -0.77   0.439    -.4941139    .2146321
             |
       _cons |   .5544948   .2339927     2.37   0.018     .0947823    1.014207
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
stdz_~me_all |   1,990        1215    .0640414   1.037874   -3.07926   5.952886
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5668
                                                    Adj R-squared     = 0.4611
                                                    Root MSE          = 0.7616

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
stdz_~me_all | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .2594341   .1029626     2.52   0.012     .0571493     .461719
             |
 scale_group |
          2  |  -.9684135   .8984643    -1.08   0.282    -2.733577    .7967496
          3  |          0  (omitted)
          4  |  -.1567522   .3114359    -0.50   0.615    -.7686131    .4551087
          5  |   -.309064    .318787    -0.97   0.333    -.9353672    .3172391
          6  |  -.2036921   .3631385    -0.56   0.575    -.9171302     .509746
          7  |   .4436757   .3660044     1.21   0.226     -.275393    1.162744
          8  |   .5404991   .3660044     1.48   0.140    -.1785696    1.259568
          9  |  -.3624337   .3778692    -0.96   0.338    -1.104812    .3799449
         10  |  -.2067024    .340617    -0.61   0.544    -.8758937     .462489
         11  |  -.1459366    .337439    -0.43   0.666    -.8088844    .5170113
         12  |  -.7829743    .878873    -0.89   0.373    -2.509648     .943699
             |
  year_group |
          5  |   .6077635   .1681212     3.62   0.000      .277465    .9380621
          6  |   -.265856   .4429491    -0.60   0.549    -1.136094    .6043816
          7  |   .5352617   .4626739     1.16   0.248    -.3737282    1.444252
          8  |   .7119127   .4648315     1.53   0.126     -.201316    1.625141
          9  |   .5313082   .4278169     1.24   0.215    -.3092002    1.371816
         10  |   .8537247   .4392123     1.94   0.052    -.0091715    1.716621
         11  |    .885452   .4512573     1.96   0.050    -.0011082    1.772012
         12  |   1.027089   .4503373     2.28   0.023     .1423361    1.911842
         13  |   1.130882   .4598415     2.46   0.014     .2274563    2.034307
             |
       _cons |  -.5411936   .5638278    -0.96   0.338    -1.648915    .5665277
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
sig5_outcome |   1,741        1087    .2447102   .4300388          0          1
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,741
Absorbed variable: factor_pair                      No. of categories =    321
                                                    F(18, 477)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5837
                                                    Adj R-squared     = 0.4830
                                                    Root MSE          = 0.3091

                        (Std. err. adjusted for 478 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
sig5_outcome | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1036734   .0398611     2.60   0.010     .0253483    .1819986
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0754324   .0697302    -1.08   0.280    -.2124488    .0615841
          4  |   .0134733    .035467     0.38   0.704    -.0562176    .0831642
          5  |   .0237065   .0367714     0.64   0.519    -.0485475    .0959604
          6  |   .0379111   .0830725     0.46   0.648    -.1253221    .2011444
          7  |   .5088868   .0656645     7.75   0.000     .3798593    .6379143
          8  |   .1755535   .0656645     2.67   0.008     .0465259     .304581
          9  |   .0327072   .0758191     0.43   0.666    -.1162736    .1816879
         10  |   .3052517   .0899113     3.40   0.001     .1285805    .4819229
         11  |   .0427383   .0546888     0.78   0.435    -.0647225    .1501991
         12  |  -.0877785   .0815005    -1.08   0.282    -.2479229     .072366
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0529043   .0976376    -0.54   0.588    -.2447573    .1389488
          7  |   .0587145   .0694128     0.85   0.398    -.0776781    .1951071
          8  |   .0096419   .0633131     0.15   0.879     -.114765    .1340489
          9  |   .0189365   .0637487     0.30   0.767    -.1063265    .1441995
         10  |   .0432624   .0596826     0.72   0.469    -.0740109    .1605357
         11  |   .0117542   .0688164     0.17   0.864    -.1234666    .1469749
         12  |   .0061072   .0646529     0.09   0.925    -.1209325    .1331468
         13  |   .0300249    .070372     0.43   0.670    -.1082525    .1683022
             |
       _cons |   .1634819   .0697193     2.34   0.019     .0264869     .300477
------------------------------------------------------------------------------
(249 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,741        1087           0       1087       1087

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
best_outcome |   1,990        1215    .3901235   .4879004          0          1
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.4343
                                                    Adj R-squared     = 0.2964
                                                    Root MSE          = 0.4091

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
best_outcome | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .2862289   .0544356     5.26   0.000     .1792823    .3931755
             |
 scale_group |
          2  |  -.0591088   .0681485    -0.87   0.386    -.1929964    .0747787
          3  |          0  (omitted)
          4  |   .0638103   .0399925     1.60   0.111    -.0147609    .1423814
          5  |   .0796246   .0417659     1.91   0.057    -.0024305    .1616797
          6  |   .1197561   .0570346     2.10   0.036     .0077034    .2318089
          7  |   .0399472   .0611606     0.65   0.514    -.0802116     .160106
          8  |   .0399472   .0611606     0.65   0.514    -.0802116     .160106
          9  |   .0739525   .0447279     1.65   0.099    -.0139218    .1618269
         10  |   .1834422   .0647182     2.83   0.005      .056294    .3105905
         11  |   .1165692   .0487528     2.39   0.017     .0207873    .2123511
         12  |   -.019117   .0595076    -0.32   0.748    -.1360282    .0977943
             |
  year_group |
          5  |   .1666667   .1139422     1.46   0.144    -.0571893    .3905226
          6  |   .0900923   .1608108     0.56   0.576    -.2258437    .4060283
          7  |   .0623962   .1579192     0.40   0.693    -.2478588    .3726512
          8  |    .073354   .1555319     0.47   0.637    -.2322109    .3789188
          9  |   .0605282   .1553229     0.39   0.697    -.2446261    .3656825
         10  |   .0488308   .1578149     0.31   0.757    -.2612195     .358881
         11  |   .0444182   .1575663     0.28   0.778    -.2651436      .35398
         12  |   .0418171   .1579386     0.26   0.791    -.2684761    .3521104
         13  |   .0866043   .1597849     0.54   0.588    -.2273163    .4005248
             |
       _cons |    .148677   .1627783     0.91   0.361    -.1711245    .4684785
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relati~c |   1,816        1085    .0454959   .1402756        -.2   4.149668
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,816
Absorbed variable: factor_pair                      No. of categories =    355
                                                    F(18, 452)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.2217
                                                    Adj R-squared     = 0.0204
                                                    Root MSE          = 0.1388

                        (Std. err. adjusted for 453 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relati~c | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0191578   .0071221     2.69   0.007     .0051612    .0331543
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |     .00673   .0106061     0.63   0.526    -.0141134    .0275733
          4  |   .0052014   .0084037     0.62   0.536    -.0113138    .0217167
          5  |   .0099592   .0085488     1.16   0.245    -.0068411    .0267596
          6  |   .0080691    .010547     0.77   0.445    -.0126582    .0287964
          7  |   .0081407          .        .       .            .           .
          8  |          0  (omitted)
          9  |    .036902   .0145805     2.53   0.012      .008248    .0655561
         10  |   .0005924   .0123609     0.05   0.962    -.0236996    .0248843
         11  |   .0167184   .0104046     1.61   0.109    -.0037289    .0371657
         12  |  -.0020254   .0053968    -0.38   0.708    -.0126313    .0085805
             |
  year_group |
          5  |  -.0456143   .0164613    -2.77   0.006    -.0779644   -.0132642
          6  |   .0183196   .0377666     0.49   0.628    -.0559002    .0925395
          7  |   .0159625   .0339354     0.47   0.638    -.0507283    .0826533
          8  |  -.0142033   .0292148    -0.49   0.627    -.0716171    .0432104
          9  |  -.0234978   .0289769    -0.81   0.418    -.0804439    .0334483
         10  |  -.0247883   .0293896    -0.84   0.399    -.0825456     .032969
         11  |  -.0339249   .0296986    -1.14   0.254    -.0922893    .0244395
         12  |  -.0256662   .0303823    -0.84   0.399    -.0853743    .0340419
         13  |  -.0429653   .0327371    -1.31   0.190     -.107301    .0213705
             |
       _cons |   .0559506   .0295412     1.89   0.059    -.0021047    .1140058
------------------------------------------------------------------------------
(174 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,816        1085           0       1085       1085

. matrix list combination_main_pair

combination_main_pair[5,6]
           c1         c2         c3         c4         c5         c6
r1  .18139106  .17102076  .25943414  .10367341  .28622892  .01915777
r2  .05440963  .05174065  .10296256  .03986115   .0544356  .00712211
r3  .34939002  .34939002  .06404143  .24471021  .39012346  .04549588
r4       1990       1990       1990       1741       1990       1816
r5       1215       1215       1215       1087       1215       1085

. matrix_to_txt, saving(../tables/table1.txt) mat(combination_main_pair) ///
>         format(%20.4f) title(<tab:table1>) append
(file ../tables/table1.txt not found)

.         
.         
. ****************
. ** Table 2  ****
. ****************
. 
. clear matrix

. 
. local robust1 ""

. local robust2 "i.order"

. local robust3 "i.rel_yr_group"

. local robust4 "if year>=approve_year | year==."

. local robust5 ""

. local robust6 "[aw=no_randomised]"

. 
. use "../derived/Combined/combined_pair_level.dta", clear

. drop if year==.
(342 observations deleted)

. forvalues robust = 1/5 {
  2.         if `robust'==2 | `robust'==3{
  3.                 summ new_relative  [aw=weight] 
  4.                 local mean `r(mean)'
  5.         }
  6.         if `robust'!=2 & `robust'!=3 {
  7.                 summ new_relative `robust`robust''  [aw=weight] 
  8.                 local mean `r(mean)'
  9.         }
 10.         if `robust'==5 {
 11.                 areg new_relative sponsor_remove_coi i.scale_group i.year_group ////
>                         [aw=weight], a(factor) cluster(cluster_group)
 12.                 egen total = total(weight) if e(sample)==1
 13.                 summ total
 14.                 matrix combination_robust = nullmat(combination_robust), ///
>                         (_b[sponsor_remove_coi] \ _se[sponsor_remove_coi] \ `mean' \ `r(mean)' )        
 15.                 drop total
 16.         }
 17.         else {
 18.                 areg new_relative sponsor i.scale_group i.year_group `robust`robust'' [aw=weight], a(factor) cluster(cluster_group)
 19.                 egen total = total(weight) if e(sample)==1
 20.                 summ total
 21.                 matrix combination_robust = nullmat(combination_robust), ///
>                         (_b[sponsor] \ _se[sponsor] \ `mean' \ `r(mean)' )
 22.                 drop total
 23.         }
 24. }

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5704
                                                    Adj R-squared     = 0.4656
                                                    Root MSE          = 0.4108

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1710208   .0517406     3.31   0.001     .0693688    .2726728
             |
 scale_group |
          2  |  -.1297064   .0998713    -1.30   0.195    -.3259181    .0665053
          3  |          0  (omitted)
          4  |  -.2227134    .208968    -1.07   0.287    -.6332612    .1878345
          5  |  -.1810689   .2106724    -0.86   0.390    -.5949652    .2328275
          6  |  -.2055737   .2203947    -0.93   0.351     -.638571    .2274236
          7  |   .0874362   .2218864     0.39   0.694    -.3484918    .5233643
          8  |  -.2170886   .2218864    -0.98   0.328    -.6530166    .2188394
          9  |  -.0175081    .226913    -0.08   0.939    -.4633115    .4282953
         10  |  -.0803126   .2488714    -0.32   0.747    -.5692565    .4086313
         11  |  -.1706928   .2149728    -0.79   0.428    -.5930379    .2516523
         12  |   .0031565   .0936939     0.03   0.973    -.1809187    .1872318
             |
  year_group |
          5  |   -.262233    .065009    -4.03   0.000    -.3899527   -.1345133
          6  |  -.1879515   .3518104    -0.53   0.593     -.879134    .5032309
          7  |   .0706612   .2178136     0.32   0.746    -.3572651    .4985875
          8  |  -.0573615   .1765673    -0.32   0.745    -.4042535    .2895305
          9  |  -.1036738   .1702148    -0.61   0.543    -.4380854    .2307379
         10  |  -.1444358   .1744266    -0.83   0.408    -.4871222    .1982505
         11  |  -.2028943   .1765153    -1.15   0.251    -.5496842    .1438955
         12  |  -.1639057   .1778609    -0.92   0.357    -.5133392    .1855277
         13  |  -.1397409   .1803751    -0.77   0.439    -.4941139    .2146321
             |
       _cons |   .5544948   .2339927     2.37   0.018     .0947823    1.014207
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(33, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5746
                                                    Adj R-squared     = 0.4631
                                                    Root MSE          = 0.4106

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1596554   .0521574     3.06   0.002     .0571845    .2621262
             |
 scale_group |
          2  |  -.1000445   .1052701    -0.95   0.342    -.3068628    .1067738
          3  |          0  (omitted)
          4  |  -.2145836   .2007087    -1.07   0.286    -.6089049    .1797378
          5  |  -.1728036   .2025733    -0.85   0.394    -.5707881    .2251809
          6  |  -.2022455   .2132038    -0.95   0.343    -.6211152    .2166241
          7  |   .0650167   .2155195     0.30   0.763    -.3584027     .488436
          8  |  -.1946246   .2148189    -0.91   0.365    -.6166675    .2274182
          9  |  -.0118019   .2199505    -0.05   0.957    -.4439266    .4203228
         10  |  -.0714123   .2500027    -0.29   0.775    -.5625788    .4197541
         11  |  -.1596721   .2071753    -0.77   0.441     -.566698    .2473538
         12  |   .0267059   .1005365     0.27   0.791    -.1708125    .2242244
             |
  year_group |
          5  |  -.3071165   .0729861    -4.21   0.000    -.4505083   -.1637247
          6  |  -.1883495   .3449457    -0.55   0.585    -.8660453    .4893464
          7  |   .0685225   .2162596     0.32   0.751    -.3563509    .4933958
          8  |  -.0493853   .1771833    -0.28   0.781    -.3974875    .2987169
          9  |  -.1076393   .1706395    -0.63   0.528    -.4428854    .2276067
         10  |  -.1621023   .1744093    -0.93   0.353    -.5047546      .18055
         11  |  -.2341914   .1763539    -1.33   0.185    -.5806642    .1122814
         12  |  -.1901145   .1791344    -1.06   0.289    -.5420499     .161821
         13  |  -.1798391   .1820189    -0.99   0.324    -.5374416    .1777634
             |
       order |
          2  |   .0448835   .0322354     1.39   0.164    -.0184476    .1082146
          3  |   .0090096    .047255     0.19   0.849    -.0838296    .1018489
          4  |  -.0549039   .0641307    -0.86   0.392     -.180898    .0710901
          5  |   .0157915   .0748028     0.21   0.833    -.1311694    .1627524
          6  |  -.0183885   .0565809    -0.32   0.745    -.1295498    .0927728
          7  |   .0219639   .0574373     0.38   0.702    -.0908801    .1348078
          8  |   .1140996   .0748362     1.52   0.128     -.032927    .2611261
          9  |   .0111021   .1102305     0.10   0.920    -.2054617    .2276659
         10  |   .1244388   .1579811     0.79   0.431     -.185938    .4348156
         11  |   .1615925   .1014717     1.59   0.112    -.0377634    .3609484
         12  |  -.0541164   .1699839    -0.32   0.750    -.3880744    .2798417
         13  |    .032608   .0897609     0.36   0.717    -.1437402    .2089562
         14  |  -.2254725   .0907895    -2.48   0.013    -.4038416   -.0471034
         15  |   .1195596   .0977044     1.22   0.222    -.0723949    .3115141
         16  |   .0533326   .0886442     0.60   0.548    -.1208217     .227487
         17  |   .0372676   .0886442     0.42   0.674    -.1368868     .211422
         18  |   .2015057   .0886442     2.27   0.023     .0273513    .3756601
         19  |   .1287676    .100667     1.28   0.201    -.0690074    .3265425
         20  |   .0268208    .092428     0.29   0.772    -.1547675     .208409
         21  |  -.2050382   .0948097    -2.16   0.031    -.3913055   -.0187708
         22  |    .182696    .095691     1.91   0.057    -.0053029    .3706949
         23  |   .0496292   .1012325     0.49   0.624    -.1492567    .2485151
         24  |    .203278   .1138971     1.78   0.075    -.0204893    .4270453
             |
       _cons |   .5550011   .2299893     2.41   0.016     .1031538    1.006848
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 59.rel_yr_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(69, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6207
                                                    Adj R-squared     = 0.5108
                                                    Root MSE          = 0.3922

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1352558   .0519954     2.60   0.010     .0331034    .2374082
             |
 scale_group |
          2  |  -.1441204   .0859232    -1.68   0.094     -.312929    .0246883
          3  |          0  (omitted)
          4  |   -.092728   .1647725    -0.56   0.574    -.4164474    .2309913
          5  |   -.050755   .1678959    -0.30   0.763    -.3806108    .2791008
          6  |  -.0715819   .1837985    -0.39   0.697    -.4326808     .289517
          7  |   .2504092   .1853299     1.35   0.177    -.1136983    .6145167
          8  |  -.0541156   .1853299    -0.29   0.770    -.4182231    .3099919
          9  |   .0783547   .1853367     0.42   0.673    -.2857661    .4424755
         10  |   .0732634   .2067765     0.35   0.723     -.332979    .4795058
         11  |  -.0379369   .1709625    -0.22   0.824    -.3738175    .2979438
         12  |  -.0840146   .0822221    -1.02   0.307    -.2455519    .0775226
             |
  year_group |
          5  |  -.1744872   .0867483    -2.01   0.045    -.3449168   -.0040576
          6  |  -.0269657   .3127506    -0.09   0.931    -.6414095     .587478
          7  |   .2908812   .2111811     1.38   0.169    -.1240147    .7057771
          8  |   .2036443   .1562082     1.30   0.193    -.1032495     .510538
          9  |   .1178095   .1549641     0.76   0.447      -.18664    .4222589
         10  |   .1294039    .150846     0.86   0.391    -.1669548    .4257627
         11  |   .1021575   .1518431     0.67   0.501    -.1961602    .4004752
         12  |   .1489667   .1558328     0.96   0.340    -.1571894    .4551229
         13  |   .2229175   .1557513     1.43   0.153    -.0830784    .5289134
             |
rel_yr_group |
          2  |   .1448144    .190963     0.76   0.449    -.2303601    .5199888
          3  |  -.6108065    .522318    -1.17   0.243    -1.636976    .4153629
          4  |  -1.210471   .1980451    -6.11   0.000     -1.59956    -.821383
          5  |    .121079   .1438048     0.84   0.400    -.1614464    .4036044
          6  |   1.523227   .1438048    10.59   0.000     1.240702    1.805753
          7  |  -.5573222   .2018571    -2.76   0.006    -.9538998   -.1607446
          8  |   .2649507   .1593233     1.66   0.097     -.048063    .5779644
          9  |   .1519473   .1637194     0.93   0.354    -.1697031    .4735978
         10  |   .0608925   .3164379     0.19   0.847    -.5607955    .6825805
         11  |    .388121   .2968465     1.31   0.192    -.1950771     .971319
         12  |   .3957202   .2730535     1.45   0.148    -.1407329    .9321732
         13  |   .2190013   .0680652     3.22   0.001     .0852773    .3527252
         14  |   .3178861   .1255299     2.53   0.012     .0712644    .5645079
         15  |   .2634943   .1359299     1.94   0.053    -.0035598    .5305483
         16  |   .2041435   .1322288     1.54   0.123    -.0556391     .463926
         17  |    .124162   .1310358     0.95   0.344    -.1332768    .3816008
         18  |   .0861066    .126758     0.68   0.497    -.1629278     .335141
         19  |   .0468957   .1334749     0.35   0.725    -.2153351    .3091265
         20  |   .1004794   .1273675     0.79   0.431    -.1497525    .3507112
         21  |   .0801499   .1298004     0.62   0.537    -.1748618    .3351616
         22  |   .2002811   .1573795     1.27   0.204    -.1089136    .5094759
         23  |   .3296049   .1301215     2.53   0.012     .0739625    .5852474
         24  |   .0785933   .1453273     0.54   0.589    -.2069233    .3641099
         25  |   .1067587   .1373244     0.78   0.437    -.1630349    .3765522
         26  |   .2089029   .1841484     1.13   0.257    -.1528833    .5706891
         27  |   .0078753   .1638638     0.05   0.962    -.3140589    .3298096
         28  |   .0086766   .1626326     0.05   0.957    -.3108386    .3281918
         29  |   .0541568   .1684589     0.32   0.748    -.2768051    .3851188
         30  |   .6288781   .2297461     2.74   0.006     .1775086    1.080248
         31  |  -.3641022   .2323211    -1.57   0.118    -.8205306    .0923262
         32  |   .1102591   .2013604     0.55   0.584    -.2853425    .5058608
         33  |   .1880413   .3132209     0.60   0.549    -.4273264     .803409
         34  |  -.0639872   .2613263    -0.24   0.807    -.5774005    .4494261
         35  |  -.1983971   .2037257    -0.97   0.331    -.5986458    .2018516
         36  |  -.4167646   .3309558    -1.26   0.209    -1.066975    .2334461
         37  |   .2040762   .2905996     0.70   0.483    -.3668487    .7750012
         38  |  -.2976115    .251552    -1.18   0.237    -.7918218    .1965988
         39  |   .1573015   .2613616     0.60   0.548    -.3561813    .6707843
         40  |  -.0727285    .279093    -0.26   0.795    -.6210472    .4755902
         41  |  -.5386966   .2844921    -1.89   0.059    -1.097623    .0202294
         42  |   -.528275   .3264195    -1.62   0.106    -1.169573    .1130234
         43  |   .0767202   .2776933     0.28   0.782    -.4688486    .6222889
         44  |    -.16001   .2694099    -0.59   0.553    -.6893048    .3692848
         45  |    -.00742    .297553    -0.02   0.980     -.592006     .577166
         46  |  -.1313588   .2910336    -0.45   0.652    -.7031364    .4404189
         47  |  -.1998741   .2454467    -0.81   0.416    -.6820898    .2823415
         48  |  -.2150672   .3262663    -0.66   0.510    -.8560646    .4259302
         49  |  -.3737439    .300008    -1.25   0.213    -.9631529    .2156652
         50  |   -.151884   .2972814    -0.51   0.610    -.7359362    .4321683
         51  |  -.3651537   .2747202    -1.33   0.184    -.9048813    .1745739
         52  |   -.027595   .2873732    -0.10   0.924    -.5921812    .5369913
         53  |  -.2250445   .2894538    -0.78   0.437    -.7937184    .3436295
         54  |  -.3047288   .2853603    -1.07   0.286    -.8653604    .2559028
         55  |   .3534679   .2653299     1.33   0.183     -.167811    .8747468
         56  |  -1.017696   .2354142    -4.32   0.000    -1.480201   -.5551904
         57  |  -.4455701    .287657    -1.55   0.122    -1.010714    .1195738
         58  |   .4408201   .2758116     1.60   0.111    -.1010518    .9826919
         59  |          0  (omitted)
             |
       _cons |   .1230505   .2006977     0.61   0.540    -.2712492    .5173502
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,281  795.000003    .4279691   .5602855  -.6381124   3.818327
(sum of wgt is 795.0000034123659)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,281
Absorbed variable: factor_pair                      No. of categories =    260
                                                    F(19, 463)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5641
                                                    Adj R-squared     = 0.4426
                                                    Root MSE          = 0.4181

                        (Std. err. adjusted for 464 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1453383   .0540791     2.69   0.007     .0390674    .2516093
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1565764   .1532024     1.02   0.307    -.1444817    .4576346
          4  |  -.2327759   .2068757    -1.13   0.261    -.6393077    .1737558
          5  |  -.1947934   .2104614    -0.93   0.355    -.6083712    .2187843
          6  |  -.3038984   .2338388    -1.30   0.194    -.7634153    .1556185
          7  |   .2639656   .2242687     1.18   0.240    -.1767451    .7046762
          8  |  -.1928217   .2242687    -0.86   0.390    -.6335323     .247889
          9  |  -.0223482   .2280563    -0.10   0.922    -.4705019    .4258055
         10  |   .0923651   .2515272     0.37   0.714    -.4019111    .5866414
         11  |  -.1549329   .2208703    -0.70   0.483    -.5889653    .2790995
         12  |    .197394   .0568299     3.47   0.001     .0857176    .3090705
             |
  year_group |
          5  |   -.524466   .1318378    -3.98   0.000    -.7835406   -.2653913
          6  |  -.3444139   .5307288    -0.65   0.517     -1.38735    .6985217
          7  |   .3172972   .3949452     0.80   0.422    -.4588099    1.093404
          8  |    -.12101   .3129759    -0.39   0.699    -.7360393    .4940193
          9  |  -.2174155   .3032394    -0.72   0.474    -.8133116    .3784805
         10  |  -.2939378   .3095425    -0.95   0.343      -.90222    .3143444
         11  |  -.3456093   .3119662    -1.11   0.269    -.9586544    .2674357
         12  |   -.304743   .3134849    -0.97   0.332    -.9207724    .3112864
         13  |  -.2882573   .3198784    -0.90   0.368    -.9168507     .340336
             |
       _cons |    .724392   .3433337     2.11   0.035     .0497066    1.399077
------------------------------------------------------------------------------
(709 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,281         795           0        795        795

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5693
                                                    Adj R-squared     = 0.4643
                                                    Root MSE          = 0.4113

                              (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------------
                   |               Robust
      new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
sponsor_remove_coi |   .1466469   .0574154     2.55   0.011      .033846    .2594479
                   |
       scale_group |
                2  |   -.119377   .0960371    -1.24   0.214    -.3080558    .0693018
                3  |          0  (omitted)
                4  |  -.3024968   .1729052    -1.75   0.081     -.642194    .0372005
                5  |   -.274012    .175487    -1.56   0.119    -.6187817    .0707577
                6  |  -.2951132   .1858252    -1.59   0.113    -.6601937    .0699673
                7  |  -.0057999   .1856991    -0.03   0.975    -.3706327    .3590329
                8  |  -.3103247   .1856991    -1.67   0.095    -.6751575     .054508
                9  |  -.1103931   .1925015    -0.57   0.567    -.4885902     .267804
               10  |  -.1707484   .2149249    -0.79   0.427    -.5929994    .2515027
               11  |  -.2697814   .1788112    -1.51   0.132    -.6210819     .081519
               12  |   .0120475    .090036     0.13   0.894    -.1648413    .1889364
                   |
        year_group |
                5  |   -.262233    .065009    -4.03   0.000    -.3899527   -.1345133
                6  |  -.1755328   .3523695    -0.50   0.619    -.8678137    .5167481
                7  |   .0835959   .2138552     0.39   0.696    -.3365536    .5037454
                8  |  -.0381795   .1723007    -0.22   0.825    -.3766892    .3003302
                9  |  -.1126657   .1659589    -0.68   0.498    -.4387159    .2133845
               10  |  -.1580527   .1701034    -0.93   0.353    -.4922454    .1761401
               11  |  -.2171096   .1725339    -1.26   0.209    -.5560775    .1218582
               12  |  -.1771549     .17375    -1.02   0.308     -.518512    .1642022
               13  |  -.1582134   .1764433    -0.90   0.370    -.5048618     .188435
                   |
             _cons |   .6473562   .2123663     3.05   0.002     .2301318    1.064581
------------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

.         gen weight2 = no_randomised * weight

.         summ new_relative `robust`robust'' [aw=weight2] 

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990      121223    .2966207   .4570802  -1.557476   3.818327

.         local mean `r(mean)'

. 
.         areg new_relative sponsor i.scale_group i.year_group `robust`robust'' [aw=weight2], a(factor) cluster(cluster_group)
(sum of wgt is 121,223.000496864)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,990
Absorbed variable: factor_pair                    No. of categories =      371
                                                  F(20, 508)        = 30520.08
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.6108
                                                  Adj R-squared     =   0.5159
                                                  Root MSE          =   0.3180

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1002611     .04076     2.46   0.014     .0201822      .18034
             |
 scale_group |
          2  |   .0027111   .0900534     0.03   0.976    -.1742118     .179634
          3  |          0  (omitted)
          4  |  -.3306798   .2116268    -1.56   0.119    -.7464513    .0850917
          5  |   -.306795   .2123364    -1.44   0.149    -.7239607    .1103707
          6  |  -.3172764    .224278    -1.41   0.158    -.7579029    .1233501
          7  |  -.0210366   .2182358    -0.10   0.923    -.4497924    .4077193
          8  |  -.3215097   .2182233    -1.47   0.141    -.7502409    .1072216
          9  |  -.2107371   .2241582    -0.94   0.348    -.6511284    .2296542
         10  |  -.1054373    .226768    -0.46   0.642     -.550956    .3400813
         11  |  -.2736137   .2162538    -1.27   0.206    -.6984756    .1512482
         12  |   .1361863   .0798942     1.70   0.089    -.0207774      .29315
             |
  year_group |
          5  |  -.2586011   .0681525    -3.79   0.000    -.3924966   -.1247056
          6  |   -.463354   .3442138    -1.35   0.179    -1.139612    .2129038
          7  |  -.0392799    .229425    -0.17   0.864    -.4900186    .4114588
          8  |  -.1559274    .194461    -0.80   0.423    -.5379742    .2261193
          9  |  -.2632309   .1926742    -1.37   0.172    -.6417672    .1153054
         10  |   -.282047   .1923949    -1.47   0.143    -.6600347    .0959407
         11  |  -.3728908   .1941978    -1.92   0.055    -.7544205    .0086389
         12  |   -.351503   .1945251    -1.81   0.071    -.7336757    .0306697
         13  |  -.3292424   .1980944    -1.66   0.097    -.7184275    .0599428
             |
       _cons |   .7687362   .2530281     3.04   0.003     .2716258    1.265847
------------------------------------------------------------------------------

.         egen total = total(weight) if e(sample)==1

.         summ total

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

.         matrix combination_robust = nullmat(combination_robust), ///
>                 (_b[sponsor] \ _se[sponsor] \ `mean' \ `r(mean)' )

.         drop total

. 
. matrix list combination_robust

combination_robust[4,6]
           c1         c2         c3         c4         c5         c6
r1  .17102076  .15965537  .13525579  .14533832  .14664695   .1002611
r2  .05174065  .05215743  .05199536  .05407913  .05741545     .04076
r3  .34939002  .34939002  .34939002  .42796908  .34939002  .29662067
r4       1215       1215       1215        795       1215       1215

. matrix_to_txt, saving(../tables/table2.txt) mat(combination_robust) ///
>         format(%20.4f) title(<tab:table2>) append
(file ../tables/table2.txt not found)

.         
.         
. ****************
. ** Table 3  ****
. ****************
. 
. clear matrix

. use "../derived/Combined/combined_pair_level.dta", clear

. drop if year==.
(342 observations deleted)

. 
. bys drug_pair_no: egen has_nonindustry_var=max(unsponsored_trial)

. 
. local hetero1 "if active_placebo_pair==1"

. local hetero2 "if active_placebo_pair==0"

. local hetero3 "if anti_sample==1"

. local hetero4 "if anti_sample==0"

. local hetero5 "if has_nonindustry_var==1"

. local hetero6 "if has_nonindustry_var==0"

. 
. forvalues hetero = 1/6 {
  2.                 summ new_relative `hetero`hetero'' [aw=weight] 
  3.                 local mean `r(mean)'
  4. 
.                 areg new_relative sponsor i.scale_group i.year_group `hetero`hetero'' [aw=weight], a(factor) cluster(cluster_group)
  5.                 egen total = total(weight) if e(sample)==1
  6.                 summ total
  7.                 matrix combination_hetero = nullmat(combination_hetero), ///
>                         (_b[sponsor] \ _se[sponsor] \ `mean' \ `r(mean)' )
  8.                 drop total
  9. }

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |     840  520.000002    .4889092   .7016082  -1.557476   3.818327
(sum of wgt is 520.0000020563602)
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =    840
Absorbed variable: factor_pair                      No. of categories =     80
                                                    F(18, 259)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6101
                                                    Adj R-squared     = 0.5586
                                                    Root MSE          = 0.4658

                        (Std. err. adjusted for 260 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .2700163   .1034266     2.61   0.010     .0663523    .4736804
             |
 scale_group |
          3  |  -.1576934   .0858148    -1.84   0.067    -.3266769    .0112901
          4  |   -.166872    .132872    -1.26   0.210     -.428519    .0947751
          5  |  -.2015135   .1473121    -1.37   0.173    -.4915954    .0885684
          6  |  -.1316352   .1608734    -0.82   0.414    -.4484215     .185151
          7  |   .1313585   .0963584     1.36   0.174    -.0583871     .321104
          8  |   -.364167   .0963584    -3.78   0.000    -.5539125   -.1744214
          9  |    .088511   .2017674     0.44   0.661    -.3088025    .4858244
         10  |          0  (omitted)
         11  |  -.1188515   .1313909    -0.90   0.367    -.3775819    .1398789
         12  |   .2660756   .0818259     3.25   0.001     .1049469    .4272042
             |
  year_group |
          5  |   -.262233   .0620815    -4.22   0.000    -.3844817   -.1399842
          6  |  -.2613602   .3494976    -0.75   0.455    -.9495789    .4268585
          7  |   .0898466   .2381355     0.38   0.706    -.3790817    .5587748
          8  |  -.0547983   .1923063    -0.28   0.776    -.4334812    .3238846
          9  |    -.12276   .1806406    -0.68   0.497    -.4784711    .2329512
         10  |   -.035418   .1943787    -0.18   0.856    -.4181818    .3473459
         11  |   -.272522   .1957054    -1.39   0.165    -.6578982    .1128543
         12  |   -.209007   .1971336    -1.06   0.290    -.5971958    .1791818
         13  |  -.1832219   .1988856    -0.92   0.358    -.5748605    .2084167
             |
       _cons |   .6328267   .2108818     3.00   0.003     .2175656    1.048088
------------------------------------------------------------------------------
(1,150 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |        840         520           0        520        520

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,150  695.000003    .2450016   .3987698          0    3.18194
(sum of wgt is 695.0000028312206)
note: 3.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity
note: 7.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,150
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(15, 357)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.4328
                                                    Adj R-squared     = 0.2269
                                                    Root MSE          = 0.3504

                        (Std. err. adjusted for 358 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1240289   .0579323     2.14   0.033     .0100973    .2379604
             |
 scale_group |
          2  |   -.168842   .0953125    -1.77   0.077    -.3562865    .0186025
          3  |          0  (omitted)
          4  |  -.2223191   .1709675    -1.30   0.194    -.5585492     .113911
          5  |  -.1334256   .1747134    -0.76   0.446    -.4770225    .2101714
          6  |  -.2300393   .1837383    -1.25   0.211    -.5913847    .1313062
          7  |  -.0187511   .1856675    -0.10   0.920    -.3838906    .3463884
          8  |   .0587254   .1856675     0.32   0.752    -.3064142    .4238649
          9  |   -.048347   .1905327    -0.25   0.800    -.4230546    .3263606
         11  |  -.1604992   .1840963    -0.87   0.384    -.5225488    .2015504
         12  |  -.0743334   .0899793    -0.83   0.409    -.2512894    .1026226
             |
  year_group |
          6  |          0  (omitted)
          7  |          0  (omitted)
          8  |  -.0825379   .1637088    -0.50   0.614    -.4044928    .2394169
          9  |  -.0925401   .1613412    -0.57   0.567    -.4098387    .2247584
         10  |   -.187637   .1625566    -1.15   0.249    -.5073259    .1320519
         11  |   -.135538   .1636653    -0.83   0.408    -.4574074    .1863313
         12  |  -.0969738   .1677868    -0.58   0.564    -.4269485    .2330009
         13  |  -.0653536   .1794316    -0.36   0.716    -.4182293    .2875221
             |
       _cons |    .446479   .1970752     2.27   0.024     .0589046    .8340533
------------------------------------------------------------------------------
(840 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,150         695           0        695        695

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,254  900.000003     .363397   .5885403  -1.557476   3.818327
(sum of wgt is 900.0000025033951)

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    210
                                                    F(15, 397)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5562
                                                    Adj R-squared     = 0.4591
                                                    Root MSE          = 0.4326

                        (Std. err. adjusted for 398 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .2146246   .0677531     3.17   0.002     .0814248    .3478244
             |
 scale_group |
          4  |      -.212   .2147429    -0.99   0.324    -.6341755    .2101755
          5  |  -.1765055   .2168474    -0.81   0.416    -.6028182    .2498072
          6  |  -.1938878    .226206    -0.86   0.392    -.6385992    .2508235
          7  |   .0953575   .2295316     0.42   0.678    -.3558919    .5466068
          8  |  -.2091673   .2295316    -0.91   0.363    -.6604167     .242082
          9  |  -.0040592   .2322465    -0.02   0.986     -.460646    .4525276
         10  |  -.0387854   .2534257    -0.15   0.878    -.5370096    .4594388
         11  |  -.1648027   .2210119    -0.75   0.456    -.5993027    .2696972
             |
  year_group |
          7  |   .3304858   .4413198     0.75   0.454    -.5371301    1.198102
          8  |   .2018245   .4257886     0.47   0.636    -.6352577    1.038907
          9  |    .179413   .4212623     0.43   0.670    -.6487706    1.007597
         10  |   .1289189   .4235152     0.30   0.761     -.703694    .9615318
         11  |   .0659282   .4239472     0.16   0.876    -.7675339    .8993903
         12  |   .0625953    .425277     0.15   0.883    -.7734813    .8986718
         13  |   .1559759   .4235025     0.37   0.713     -.676612    .9885638
             |
       _cons |   .3032428   .4754694     0.64   0.524    -.6315097    1.237995
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         900           0        900        900

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |     736  315.000002      .30937   .4771179  -.3764861   2.773995
(sum of wgt is 315.0000023841858)

Linear regression, absorbing indicators             Number of obs     =    736
Absorbed variable: factor_pair                      No. of categories =    161
                                                    F(11, 110)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6506
                                                    Adj R-squared     = 0.5439
                                                    Root MSE          = 0.3219

                        (Std. err. adjusted for 111 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0922375    .060843     1.52   0.132    -.0283391    .2128141
             |
 scale_group |
          3  |   .0545482   .1059754     0.51   0.608    -.1554703    .2645666
         12  |   .0906435    .037719     2.40   0.018     .0158934    .1653937
             |
  year_group |
          5  |   -.262233   .0668357    -3.92   0.000    -.3946856   -.1297804
          6  |   .2309637   .0668357     3.46   0.001     .0985112    .3634163
          7  |   .0212731   .1858922     0.11   0.909    -.3471216    .3896679
          8  |   .0339383   .1741499     0.19   0.846    -.3111859    .3790626
          9  |  -.3196634   .1494046    -2.14   0.035    -.6157483   -.0235784
         10  |  -.2226718   .1677495    -1.33   0.187     -.555112    .1097685
         11  |  -.2442057   .1637818    -1.49   0.139    -.5687827    .0803713
         12  |  -.1759621    .168488    -1.04   0.299    -.5098658    .1579417
         13  |  -.4323246   .1743743    -2.48   0.015    -.7778935   -.0867557
             |
       _cons |   .4154247   .1572962     2.64   0.009     .1037005    .7271489
------------------------------------------------------------------------------
(1,254 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |        736         315           0        315        315

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |     820  540.733335    .4098066   .6511461  -1.557476   3.818327
(sum of wgt is 540.7333351969719)
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =      820
Absorbed variable: factor_pair                    No. of categories =      106
                                                  F(18, 275)        = 1.77e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.6025
                                                  Adj R-squared     =   0.5323
                                                  Root MSE          =   0.4453

                        (Std. err. adjusted for 276 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1587352   .0585276     2.71   0.007     .0435162    .2739542
             |
 scale_group |
          3  |   .2146766   .1024605     2.10   0.037       .01297    .4163831
          4  |  -.3040181   .0986194    -3.08   0.002    -.4981629   -.1098732
          5  |  -.3226877   .0981386    -3.29   0.001     -.515886   -.1294894
          6  |  -.3213068    .124092    -2.59   0.010    -.5655978   -.0770159
          7  |          0  (omitted)
          8  |  -.3034856   5.37e-08 -5.6e+06   0.000    -.3034857   -.3034855
          9  |   .0528487   .1567567     0.34   0.736    -.2557468    .3614442
         11  |  -.2723553    .110515    -2.46   0.014    -.4899182   -.0547924
         12  |   .1914035   .0481171     3.98   0.000     .0966789    .2861282
             |
  year_group |
          5  |   -.262233   .0632818    -4.14   0.000    -.3868114   -.1376546
          6  |  -.2107426   .3360041    -0.63   0.531    -.8722097    .4507244
          7  |   .2289441   .2308896     0.99   0.322    -.2255916    .6834798
          8  |  -.0915651   .1897833    -0.48   0.630    -.4651777    .2820475
          9  |  -.0816297   .1739623    -0.47   0.639    -.4240967    .2608372
         10  |  -.1315291   .1802919    -0.73   0.466    -.4864568    .2233986
         11  |  -.2277823   .1823094    -1.25   0.213    -.5866817    .1311171
         12  |  -.1625362    .183579    -0.89   0.377     -.523935    .1988627
         13  |  -.1004189   .1874051    -0.54   0.593    -.4693498    .2685119
             |
       _cons |   .6347697    .183466     3.46   0.001     .2735935    .9959459
------------------------------------------------------------------------------
(1,170 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |        820    540.7333           0   540.7333   540.7333

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,170   674.26667    .3009385   .4738098  -.3453234   3.409221
(sum of wgt is 674.266669690609)
note: 3.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity
note: 7.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,170
Absorbed variable: factor_pair                      No. of categories =    265
                                                    F(14, 307)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5306
                                                    Adj R-squared     = 0.3820
                                                    Root MSE          = 0.3718

                        (Std. err. adjusted for 308 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .2502347   .1073703     2.33   0.020     .0389599    .4615094
             |
 scale_group |
          2  |   .3092632   .0428194     7.22   0.000     .2250066    .3935198
          3  |          0  (omitted)
          4  |  -.2144566   .2007844    -1.07   0.286    -.6095443    .1806311
          5  |  -.1099136   .2023933    -0.54   0.587    -.5081672    .2883401
          6  |  -.1393198   .2200083    -0.63   0.527    -.5722348    .2935951
          7  |   .0919852   .2504519     0.37   0.714    -.4008343    .5848047
          8  |  -.2146181   .2504519    -0.86   0.392    -.7074376    .2782014
          9  |  -.1165915   .2241562    -0.52   0.603    -.5576685    .3244855
         10  |  -.0823096   .2363235    -0.35   0.728    -.5473284    .3827091
         11  |  -.1306127    .212456    -0.61   0.539    -.5486668    .2874415
         12  |   .3545083          .        .       .            .           .
             |
  year_group |
          6  |          0  (omitted)
          7  |          0  (omitted)
          8  |   .0468971   .1960226     0.24   0.811    -.3388208     .432615
          9  |  -.0076386   .2056394    -0.04   0.970    -.4122796    .3970025
         10  |   -.065342   .2144537    -0.30   0.761    -.4873271    .3566431
         11  |  -.0702667   .2334646    -0.30   0.764      -.52966    .3891267
         12  |  -.0788635   .2383686    -0.33   0.741    -.5479064    .3901793
         13  |  -.1164498   .2498439    -0.47   0.641     -.608073    .3751733
             |
       _cons |   .2720715   .2968071     0.92   0.360    -.3119621    .8561052
------------------------------------------------------------------------------
(820 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,170    674.2667           0   674.2667   674.2667

. matrix list combination_hetero

combination_hetero[4,6]
           c1         c2         c3         c4         c5         c6
r1  .27001633  .12402889  .21462463   .0922375  .15873518  .25023466
r2  .10342656  .05793233  .06775315  .06084301  .05852756  .10737027
r3  .48890917  .24500159  .36339703  .30936997  .40980657   .3009385
r4        520        695        900        315  540.73334  674.26666

. matrix_to_txt, saving(../tables/table3.txt) mat(combination_hetero) ///
>         format(%20.4f) title(<tab:table3>) append
(file ../tables/table3.txt not found)

. 
. ****************
. ** Table 4  ****
. ****************
. 
. clear matrix

. use "../derived/Combined/combined_pair_level.dta", clear

. drop if year==.
(342 observations deleted)

. 
. 
. replace dose_min = 0 if drug=="placebo"
(420 real changes made)

. foreach var of varlist mean_age share_female dose_min no_randomised dropout_share ////
>         lengthoftrial stdz_baseline {
  2.         gen `var'_missing = `var'==.
  3.         summ `var'
  4.         replace `var' = `r(mean)' if `var'==.
  5. }

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    mean_age |      1,690    41.44289    7.549402         21       79.9
(300 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
share_female |      1,176    .4631271    .2190413          0          1
(814 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    dose_min |      1,958    55.93417    108.5881          0        800
(32 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
no_randomi~d |      1,990    102.5749    77.98338          7       1336
(0 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
dropout_sh~e |      1,780    30.51709    16.15926          0        100
(210 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
lengthoftr~l |      1,990    9.192965     9.51942          4         78
(0 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
stdz_basel~e |      1,872   -.0425443    .9431862  -5.128971   6.861529
(118 real changes made)

. 
. 
. local control1 ""

. local control2 "lengthoftrial no_randomised dose_min"

. local control3 "mean_age share_female stdz_baseline dropout_share"

. local control4 "mean_age share_female stdz_baseline dropout_share lengthoftrial no_randomised dose_min"

. 
. forvalues control=1/4 {
  2.         summ new_relative [aw=weight]
  3.         local mean `r(mean)'
  4. 
.         areg new_relative sponsor `control`control'' i.scale_group i.year_group [aw=weight], a(factor_pair) cluster(cluster_group)
  5.         egen total = total(weight) if e(sample)==1
  6.         summ total
  7.         matrix combination_chars = nullmat(combination_chars), (_b[sponsor] \ _se[sponsor] \ `mean' \ `r(mean)' )
  8.         drop total
  9. }

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5704
                                                    Adj R-squared     = 0.4656
                                                    Root MSE          = 0.4108

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1710208   .0517406     3.31   0.001     .0693688    .2726728
             |
 scale_group |
          2  |  -.1297064   .0998713    -1.30   0.195    -.3259181    .0665053
          3  |          0  (omitted)
          4  |  -.2227134    .208968    -1.07   0.287    -.6332612    .1878345
          5  |  -.1810689   .2106724    -0.86   0.390    -.5949652    .2328275
          6  |  -.2055737   .2203947    -0.93   0.351     -.638571    .2274236
          7  |   .0874362   .2218864     0.39   0.694    -.3484918    .5233643
          8  |  -.2170886   .2218864    -0.98   0.328    -.6530166    .2188394
          9  |  -.0175081    .226913    -0.08   0.939    -.4633115    .4282953
         10  |  -.0803126   .2488714    -0.32   0.747    -.5692565    .4086313
         11  |  -.1706928   .2149728    -0.79   0.428    -.5930379    .2516523
         12  |   .0031565   .0936939     0.03   0.973    -.1809187    .1872318
             |
  year_group |
          5  |   -.262233    .065009    -4.03   0.000    -.3899527   -.1345133
          6  |  -.1879515   .3518104    -0.53   0.593     -.879134    .5032309
          7  |   .0706612   .2178136     0.32   0.746    -.3572651    .4985875
          8  |  -.0573615   .1765673    -0.32   0.745    -.4042535    .2895305
          9  |  -.1036738   .1702148    -0.61   0.543    -.4380854    .2307379
         10  |  -.1444358   .1744266    -0.83   0.408    -.4871222    .1982505
         11  |  -.2028943   .1765153    -1.15   0.251    -.5496842    .1438955
         12  |  -.1639057   .1778609    -0.92   0.357    -.5133392    .1855277
         13  |  -.1397409   .1803751    -0.77   0.439    -.4941139    .2146321
             |
       _cons |   .5544948   .2339927     2.37   0.018     .0947823    1.014207
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(22, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5790
                                                    Adj R-squared     = 0.4753
                                                    Root MSE          = 0.4071

                         (Std. err. adjusted for 509 clusters in cluster_group)
-------------------------------------------------------------------------------
              |               Robust
 new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
      sponsor |   .1783609   .0515277     3.46   0.001     .0771273    .2795945
lengthoftrial |   .0001259   .0014009     0.09   0.928    -.0026263    .0028781
no_randomised |  -.0005551   .0001997    -2.78   0.006    -.0009475   -.0001628
     dose_min |   .0009135    .000322     2.84   0.005     .0002808    .0015462
              |
  scale_group |
           2  |  -.0729128   .0963743    -0.76   0.450    -.2622541    .1164285
           3  |          0  (omitted)
           4  |  -.1882644   .1946481    -0.97   0.334    -.5706788      .19415
           5  |  -.1622563   .1956772    -0.83   0.407    -.5466925    .2221799
           6  |  -.1792158   .2058509    -0.87   0.384    -.5836396    .2252081
           7  |   .1251324   .2075112     0.60   0.547    -.2825534    .5328182
           8  |  -.1786523   .2075364    -0.86   0.390    -.5863875     .229083
           9  |  -.0031139   .2136651    -0.01   0.988      -.42289    .4166622
          10  |  -.0776567   .2356832    -0.33   0.742    -.5406905     .385377
          11  |  -.1166154   .2018572    -0.58   0.564     -.513193    .2799622
          12  |   .0691841   .0913727     0.76   0.449    -.1103308    .2486991
              |
   year_group |
           5  |  -.3677178   .0587963    -6.25   0.000    -.4832317   -.2522039
           6  |  -.1218147    .355064    -0.34   0.732    -.8193893      .57576
           7  |    .146916   .2291877     0.64   0.522    -.3033563    .5971884
           8  |    .018546   .1890219     0.10   0.922    -.3528149    .3899068
           9  |  -.0138287    .183665    -0.08   0.940    -.3746652    .3470078
          10  |  -.0365974   .1860241    -0.20   0.844    -.4020687    .3288738
          11  |  -.1008097   .1883537    -0.54   0.593    -.4708578    .2692383
          12  |  -.0660549   .1898754    -0.35   0.728    -.4390925    .3069828
          13  |  -.0372007   .1926128    -0.19   0.847    -.4156164    .3412149
              |
        _cons |   .4214087   .2371224     1.78   0.076    -.0444525      .88727
-------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(23, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5834
                                                    Adj R-squared     = 0.4805
                                                    Root MSE          = 0.4051

                         (Std. err. adjusted for 509 clusters in cluster_group)
-------------------------------------------------------------------------------
              |               Robust
 new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
      sponsor |   .1583958   .0515472     3.07   0.002     .0571238    .2596678
     mean_age |  -.0016441    .002219    -0.74   0.459    -.0060036    .0027154
 share_female |  -.0788339   .1357807    -0.58   0.562    -.3455948    .1879269
stdz_baseline |   .0502009   .0153329     3.27   0.001     .0200771    .0803247
dropout_share |  -.0045749   .0010517    -4.35   0.000     -.006641   -.0025087
              |
  scale_group |
           2  |   -.103286   .1024387    -1.01   0.314    -.3045416    .0979696
           3  |          0  (omitted)
           4  |  -.1935932   .1965044    -0.99   0.325    -.5796546    .1924682
           5  |  -.1413404   .1981494    -0.71   0.476    -.5306335    .2479528
           6  |  -.1875898   .2099514    -0.89   0.372    -.6000697    .2248901
           7  |   .0961854   .2119305     0.45   0.650    -.3201827    .5125534
           8  |  -.2141572    .212047    -1.01   0.313    -.6307543    .2024399
           9  |   .0084455    .215955     0.04   0.969    -.4158293    .4327203
          10  |  -.0696756   .2338911    -0.30   0.766    -.5291885    .3898373
          11  |  -.1640694   .2027704    -0.81   0.419    -.5624412    .2343024
          12  |   .0243073   .0931982     0.26   0.794     -.158794    .2074087
              |
   year_group |
           5  |  -.3125269   .0557991    -5.60   0.000    -.4221522   -.2029015
           6  |  -.2342503   .3835706    -0.61   0.542    -.9878301    .5193296
           7  |  -.0303108   .2237823    -0.14   0.892    -.4699635     .409342
           8  |  -.1134702   .1904515    -0.60   0.552    -.4876397    .2606993
           9  |  -.1682214   .1833076    -0.92   0.359    -.5283557    .1919128
          10  |  -.1993004    .182377    -1.09   0.275    -.5576063    .1590055
          11  |  -.2652902   .1839996    -1.44   0.150     -.626784    .0962035
          12  |   -.247491   .1859543    -1.33   0.184    -.6128251    .1178432
          13  |  -.2169218    .187362    -1.16   0.248    -.5850216    .1511781
              |
        _cons |   .8439389   .2685879     3.14   0.002     .3162592    1.371619
-------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(26, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5914
                                                    Adj R-squared     = 0.4895
                                                    Root MSE          = 0.4015

                         (Std. err. adjusted for 509 clusters in cluster_group)
-------------------------------------------------------------------------------
              |               Robust
 new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
      sponsor |   .1630586   .0514241     3.17   0.002     .0620284    .2640888
     mean_age |  -.0011909   .0021966    -0.54   0.588    -.0055064    .0031246
 share_female |  -.0406336   .1303554    -0.31   0.755    -.2967357    .2154685
stdz_baseline |   .0495383   .0146319     3.39   0.001     .0207918    .0782848
dropout_share |  -.0045677   .0010553    -4.33   0.000    -.0066409   -.0024944
lengthoftrial |   .0020345    .001629     1.25   0.212    -.0011659    .0052348
no_randomised |  -.0005839   .0002216    -2.63   0.009    -.0010193   -.0001485
     dose_min |   .0008258   .0003094     2.67   0.008     .0002179    .0014338
              |
  scale_group |
           2  |  -.0586281   .0935089    -0.63   0.531    -.2423398    .1250836
           3  |          0  (omitted)
           4  |  -.1671768   .1841504    -0.91   0.364     -.528967    .1946134
           5  |  -.1301301   .1851521    -0.70   0.482    -.4938882    .2336279
           6  |   -.168696   .1972199    -0.86   0.393    -.5561631    .2187711
           7  |   .1310262   .1999981     0.66   0.513    -.2618991    .5239514
           8  |  -.1793698   .2000804    -0.90   0.370    -.5724568    .2137172
           9  |    .015194   .2046367     0.07   0.941    -.3868445    .4172325
          10  |  -.0679238   .2231567    -0.30   0.761    -.5063474    .3704998
          11  |  -.1171893   .1917024    -0.61   0.541    -.4938163    .2594378
          12  |   .0731186   .0865769     0.84   0.399    -.0969741    .2432114
              |
   year_group |
           5  |  -.3795927   .0649122    -5.85   0.000    -.5071222   -.2520632
           6  |  -.1386581   .3842066    -0.36   0.718    -.8934876    .6161713
           7  |   .0835344   .2318803     0.36   0.719     -.372028    .5390968
           8  |  -.0028291   .1974443    -0.01   0.989     -.390737    .3850788
           9  |  -.0450217   .1915345    -0.24   0.814    -.4213189    .3312756
          10  |  -.0600892   .1888502    -0.32   0.750    -.4311128    .3109343
          11  |  -.1375831   .1911282    -0.72   0.472    -.5130822    .2379159
          12  |  -.1198077   .1930396    -0.62   0.535    -.4990619    .2594465
          13  |  -.0877887   .1948838    -0.45   0.653    -.4706662    .2950888
              |
        _cons |   .6441922   .2607683     2.47   0.014     .1318752    1.156509
-------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

.         
.         
. ** Within Characteristics
. xtile no_randomised_bin=no_randomised, nq(4)

. xtile lengthoftrial_bin=lengthoftrial, nq(4)

. gen age_bin=1 if mean_age<=60
(75 missing values generated)

. replace age_bin=2 if mean_age>60
(75 real changes made)

. gen female_bin=1 if share_female<=50

. replace female_bin=2 if share_female>50
(0 real changes made)

. xtile base_bin=stdz_baseline, nq(2)

. xtile dropout_bin=dropout_share, nq(4)

. xtile dose_bin=dose_min, nq(4)

. 
. 
. egen factor_length_pair=group(drug_pair_no lengthoftrial_bin drug)

. egen factor_n_pair = group(drug_pair_no drug no_randomised_bin)

. egen factor_age_pair=group(drug_pair_no drug age_bin)

. egen factor_female_pair=group(drug_pair_no drug female_bin)

. egen factor_base_pair=group(drug_pair_no drug base_bin)

. egen factor_dropout_pair=group(drug_pair_no drug dropout_bin)

. 
. egen factor_dose_pair = group(drug_pair_no drug dose_min)

. egen factor_dosechar_pair=group(drug_pair_no drug dose_min age_bin female_bin)

. egen factor_dosecharbase_pair=group(drug_pair_no drug dose_min age_bin female_bin base_bin)

. 
. local factor1 "factor_dose_pair"

. local factor2 "factor_dosechar_pair"

. local factor3 "factor_dosecharbase_pair"

. 
. forvalues factor=1/3 {
  2.         summ new_relative [aw=weight]
  3.         local mean `r(mean)'
  4. 
.         areg new_relative sponsor `control`control'' i.scale_group i.year_group [aw=weight], a(`factor`factor'') cluster(cluster_group)
  5.         egen total = total(weight) if e(sample)==1
  6.         summ total
  7.         matrix combination_chars = nullmat(combination_chars), (_b[sponsor] \ _se[sponsor] \ `mean' \ `r(mean)' )
  8.         drop total
  9. }

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_dose_pair                 No. of categories =    761
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7487
                                                    Adj R-squared     = 0.5866
                                                    Root MSE          = 0.3613

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1595079   .0731862     2.18   0.030      .015723    .3032927
             |
 scale_group |
          2  |   .1195021   .0977508     1.22   0.222    -.0725436    .3115477
          3  |          0  (omitted)
          4  |  -.4993744   .0738988    -6.76   0.000    -.6445593   -.3541894
          5  |  -.4844104   .0896507    -5.40   0.000    -.6605421   -.3082786
          6  |  -.4474759   .1075644    -4.16   0.000    -.6588018   -.2361501
          7  |  -.1297465    .129049    -1.01   0.315    -.3832819     .123789
          8  |  -.4342713    .129049    -3.37   0.001    -.6878068   -.1807358
          9  |  -.3598542    .121168    -2.97   0.003    -.5979062   -.1218021
         10  |  -.4801482   .2755914    -1.74   0.082    -1.021587    .0612909
         11  |  -.4358901    .100491    -4.34   0.000    -.6333192    -.238461
         12  |   .1621674   .0969219     1.67   0.095    -.0282496    .3525844
             |
  year_group |
          5  |  -.0950556   .0758657    -1.25   0.211    -.2441047    .0539935
          6  |  -.2796434   .1782838    -1.57   0.117    -.6299077    .0706209
          7  |   .0883933   .1853045     0.48   0.634    -.2756643    .4524509
          8  |  -.1018341   .1429592    -0.71   0.477    -.3826982      .17903
          9  |  -.1322576   .1374599    -0.96   0.336    -.4023175    .1378023
         10  |   -.209508   .1411847    -1.48   0.138    -.4868857    .0678697
         11  |  -.2405175   .1464048    -1.64   0.101     -.528151     .047116
         12  |  -.1956076    .146321    -1.34   0.182    -.4830764    .0918612
         13  |  -.1740964   .1528194    -1.14   0.255    -.4743323    .1261395
             |
       _cons |   .7619856   .1624915     4.69   0.000     .4427474    1.081224
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_dosechar_pair             No. of categories =    807
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7641
                                                    Adj R-squared     = 0.5965
                                                    Root MSE          = 0.3569

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1630333   .0763569     2.14   0.033     .0130191    .3130474
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1365176   .0994308    -1.37   0.170    -.3318637    .0588285
          4  |  -.4930257   .0813087    -6.06   0.000    -.6527684    -.333283
          5  |  -.4861752   .0980257    -4.96   0.000    -.6787608   -.2935895
          6  |  -.4150869   .1158212    -3.58   0.000    -.6426344   -.1875394
          7  |  -.1349348    .138328    -0.98   0.330    -.4067001    .1368306
          8  |  -.4394596    .138328    -3.18   0.002    -.7112249   -.1676942
          9  |   -.338707   .1315796    -2.57   0.010    -.5972142   -.0801998
         10  |  -.4873633   .2835821    -1.72   0.086    -1.044501    .0697748
         11  |  -.4107856   .1087668    -3.78   0.000    -.6244737   -.1970974
         12  |   .0167899   .0397719     0.42   0.673    -.0613477    .0949275
             |
  year_group |
          5  |  -.0955735   .0775706    -1.23   0.218     -.247972    .0568251
          6  |  -.2882634   .1875671    -1.54   0.125    -.6567661    .0802392
          7  |   .1139944   .1928895     0.59   0.555     -.264965    .4929537
          8  |  -.0996963   .1488322    -0.67   0.503    -.3920987    .1927061
          9  |  -.1344206   .1420699    -0.95   0.345    -.4135375    .1446963
         10  |  -.2033603   .1462785    -1.39   0.165    -.4907456    .0840249
         11  |  -.2339402    .152716    -1.53   0.126    -.5339729    .0660924
         12  |   -.191794   .1518166    -1.26   0.207    -.4900596    .1064716
         13  |  -.1713147   .1592704    -1.08   0.283    -.4842243     .141595
             |
       _cons |   .7851676   .1685785     4.66   0.000     .4539707    1.116365
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
new_relative |   1,990        1215      .34939   .5621657  -1.557476   3.818327
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_dosecharbase_~r           No. of categories =    982
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8334
                                                    Adj R-squared     = 0.6646
                                                    Root MSE          = 0.3254

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1944346   .0946917     2.05   0.041      .008399    .3804702
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0905714   .1641168     0.55   0.581    -.2318597    .4130026
          4  |  -.4972572   .1039903    -4.78   0.000    -.7015613   -.2929532
          5  |  -.5231973   .1187371    -4.41   0.000    -.7564736   -.2899211
          6  |  -.4305078   .1429472    -3.01   0.003    -.7113482   -.1496674
          7  |    -.13807   .1674311    -0.82   0.410    -.4670127    .1908726
          8  |  -.4425948   .1674311    -2.64   0.008    -.7715375   -.1136522
          9  |  -.3988451   .1599348    -2.49   0.013    -.7130602     -.08463
         10  |  -.3658765   .1188121    -3.08   0.002       -.5993    -.132453
         11  |  -.4196573     .14173    -2.96   0.003    -.6981065   -.1412081
         12  |    .087823   .0705068     1.25   0.213    -.0506978    .2263439
             |
  year_group |
          5  |  -.1174307   .1375187    -0.85   0.394     -.387606    .1527446
          6  |  -.2227536   .2132748    -1.04   0.297    -.6417629    .1962556
          7  |   .0847625    .242723     0.35   0.727     -.392102     .561627
          8  |  -.1434004    .178729    -0.80   0.423    -.4945395    .2077386
          9  |  -.1320967   .1702544    -0.78   0.438    -.4665862    .2023928
         10  |  -.2209995   .1768705    -1.25   0.212    -.5684871    .1264882
         11  |  -.2721908   .1843461    -1.48   0.140    -.6343653    .0899837
         12  |  -.2315924   .1840209    -1.26   0.209    -.5931281    .1299433
         13  |   -.205445   .1943081    -1.06   0.291    -.5871914    .1763015
             |
       _cons |   .7956523   .2069004     3.85   0.000     .3891664    1.202138
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

. 
. matrix list combination_chars

combination_chars[4,7]
           c1         c2         c3         c4         c5         c6         c7
r1  .17102076  .17836091  .15839579   .1630586  .15950786  .16303326   .1944346
r2  .05174065  .05152767  .05154722  .05142414  .07318618  .07635688  .09469171
r3  .34939002  .34939002  .34939002  .34939002  .34939002  .34939002  .34939002
r4       1215       1215       1215       1215       1215       1215       1215

. matrix_to_txt, saving(../tables/table4.txt) mat(combination_chars) ///
>         format(%20.4f) title(<tab:table4>) append
(file ../tables/table4.txt not found)

.         
. 
. ****************
. ** Table 5  ****
. ****************
. 
. *First, get baseline predictions
. use "../derived/Combined/combined_arm_level.dta" if year!=., clear

. replace dose_min = 0 if drug=="placebo"
(260 real changes made)

. foreach var of varlist mean_age share_female dose_min no_randomised dropout_share ////
>         lengthoftrial stdz_baseline {
  2.         gen `var'_missing = `var'==.
  3.         summ `var'
  4.         replace `var' = `r(mean)' if `var'==.
  5. }

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    mean_age |      1,025    42.48971    8.811718         21       79.9
(190 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
share_female |        664    .5087356    .2094478          0          1
(551 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    dose_min |      1,194    53.91675    96.16488          0        800
(21 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
no_randomi~d |      1,215    99.77202    86.31199          7       1336
(0 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
dropout_sh~e |      1,084    29.13892    15.42159          0        100
(131 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
lengthoftr~l |      1,215     9.00823    8.046811          4         78
(0 real changes made)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
stdz_basel~e |      1,147   -.0001065    .9814242  -5.128971   6.861529
(68 real changes made)

. 
. *Create LASSO predictions
. lasso linear stdz_outcome_all c.mean_age#i.drug_group c.share_female#i.drug_group ///
>         c.dropout_share#i.drug_group c.stdz_baseline#i.drug_group *_missing ///
>         c.dose_min#i.drug_group c.no_randomised#i.drug_group ////
>         c.lengthoftrial#i.drug_group i.setting_group i.status_group i.center_group ///
>         i.placebo_group i.scale_group i.year_group 
note: 18.drug_group#c.sh~e omitted because it is constant.
note: 16.drug_group#c.dr~e omitted because it is constant.
note: no_randomised_miss~g omitted because it is constant.
note: lengthoftrial_miss~g omitted because it is constant.
note: 65.drug_group#c.do~n omitted because it is constant.
note: 14.drug_group#c.me~e omitted because of collinearity with another variable.
note: 16.drug_group#c.me~e omitted because of collinearity with another variable.
note: 17.drug_group#c.me~e omitted because of collinearity with another variable.
note: 18.drug_group#c.me~e omitted because of collinearity with another variable.
note: 20.drug_group#c.me~e omitted because of collinearity with another variable.
note: 21.drug_group#c.me~e omitted because of collinearity with another variable.
note: 22.drug_group#c.me~e omitted because of collinearity with another variable.
note: 24.drug_group#c.me~e omitted because of collinearity with another variable.
note: 12.drug_group#c.sh~e omitted because of collinearity with another variable.
note: 13.drug_group#c.sh~e omitted because of collinearity with another variable.
note: 14.drug_group#c.sh~e omitted because of collinearity with another variable.
note: 16.drug_group#c.sh~e omitted because of collinearity with another variable.
note: 17.drug_group#c.sh~e omitted because of collinearity with another variable.
note: 22.drug_group#c.sh~e omitted because of collinearity with another variable.
note: 24.drug_group#c.sh~e omitted because of collinearity with another variable.
note: 62.drug_group#c.sh~e omitted because of collinearity with another variable.
note: 12.drug_group#c.dr~e omitted because of collinearity with another variable.
note: 14.drug_group#c.dr~e omitted because of collinearity with another variable.
note: 17.drug_group#c.dr~e omitted because of collinearity with another variable.
note: 18.drug_group#c.dr~e omitted because of collinearity with another variable.
note: 20.drug_group#c.dr~e omitted because of collinearity with another variable.
note: 21.drug_group#c.dr~e omitted because of collinearity with another variable.
note: 22.drug_group#c.dr~e omitted because of collinearity with another variable.
note: 24.drug_group#c.dr~e omitted because of collinearity with another variable.
note: 62.drug_group#c.dr~e omitted because of collinearity with another variable.
note: 14.drug_group#c.st~e omitted because of collinearity with another variable.
note: 24.drug_group#c.st~e omitted because of collinearity with another variable.
note: 12.drug_group#c.do~n omitted because of collinearity with another variable.
note: 17.drug_group#c.do~n omitted because of collinearity with another variable.
note: 18.drug_group#c.do~n omitted because of collinearity with another variable.
note: 20.drug_group#c.do~n omitted because of collinearity with another variable.
note: 21.drug_group#c.do~n omitted because of collinearity with another variable.
note: 22.drug_group#c.do~n omitted because of collinearity with another variable.
note: 24.drug_group#c.do~n omitted because of collinearity with another variable.
note: 62.drug_group#c.do~n omitted because of collinearity with another variable.
note: 12.drug_group#c.no~d omitted because of collinearity with another variable.
note: 14.drug_group#c.no~d omitted because of collinearity with another variable.
note: 16.drug_group#c.no~d omitted because of collinearity with another variable.
note: 18.drug_group#c.no~d omitted because of collinearity with another variable.
note: 20.drug_group#c.no~d omitted because of collinearity with another variable.
note: 21.drug_group#c.no~d omitted because of collinearity with another variable.
note: 22.drug_group#c.no~d omitted because of collinearity with another variable.
note: 62.drug_group#c.no~d omitted because of collinearity with another variable.
note: 12.drug_group#c.le~l omitted because of collinearity with another variable.
note: 13.drug_group#c.le~l omitted because of collinearity with another variable.
note: 14.drug_group#c.le~l omitted because of collinearity with another variable.
note: 16.drug_group#c.le~l omitted because of collinearity with another variable.
note: 17.drug_group#c.le~l omitted because of collinearity with another variable.
note: 20.drug_group#c.le~l omitted because of collinearity with another variable.
note: 21.drug_group#c.le~l omitted because of collinearity with another variable.
note: 22.drug_group#c.le~l omitted because of collinearity with another variable.
note: 24.drug_group#c.le~l omitted because of collinearity with another variable.
note: 62.drug_group#c.le~l omitted because of collinearity with another variable.
note: 5.status_group omitted because of collinearity with another variable.
note: 4.center_group omitted because of collinearity with another variable.
note: 3.placebo_group omitted because of collinearity with another variable.
note: 12.drug_group#c.me~e omitted because it is constant in C.V. subsamples.
note: 62.drug_group#c.me~e omitted because it is constant in C.V. subsamples.
note: 20.drug_group#c.sh~e omitted because it is constant in C.V. subsamples.
note: 21.drug_group#c.sh~e omitted because it is constant in C.V. subsamples.
note: 12.drug_group#c.st~e omitted because it is constant in C.V. subsamples.
note: 16.drug_group#c.st~e omitted because it is constant in C.V. subsamples.
note: 17.drug_group#c.st~e omitted because it is constant in C.V. subsamples.
note: 18.drug_group#c.st~e omitted because it is constant in C.V. subsamples.
note: 20.drug_group#c.st~e omitted because it is constant in C.V. subsamples.
note: 21.drug_group#c.st~e omitted because it is constant in C.V. subsamples.
note: 22.drug_group#c.st~e omitted because it is constant in C.V. subsamples.
note: 62.drug_group#c.st~e omitted because it is constant in C.V. subsamples.
note: 14.drug_group#c.do~n omitted because it is constant in C.V. subsamples.
note: 16.drug_group#c.do~n omitted because it is constant in C.V. subsamples.
note: 17.drug_group#c.no~d omitted because it is constant in C.V. subsamples.
note: 24.drug_group#c.no~d omitted because it is constant in C.V. subsamples.
note: 18.drug_group#c.le~l omitted because it is constant in C.V. subsamples.
10-fold cross-validation with 100 lambdas ...
Grid value 1:     lambda = .5184859   no. of nonzero coef. =       0
Folds: 1...5....10   CVF = 1.078082
Grid value 2:     lambda = .4724251   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = 1.038088
Grid value 3:     lambda = .4304561   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .9973319
Grid value 4:     lambda = .3922156   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .9624201
Grid value 5:     lambda = .3573722   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .9333807
Grid value 6:     lambda = .3256243   no. of nonzero coef. =       2
Folds: 1...5....10   CVF =  .909255
Grid value 7:     lambda = .2966967   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .8892102
Grid value 8:     lambda =  .270339   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .8725549
Grid value 9:     lambda = .2463228   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .8587147
Grid value 10:    lambda = .2244402   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .8472129
Grid value 11:    lambda = .2045015   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .8376534
Grid value 12:    lambda = .1863342   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .8297074
Grid value 13:    lambda = .1697808   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .8231018
Grid value 14:    lambda = .1546979   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .8176098
Grid value 15:    lambda =  .140955   no. of nonzero coef. =       2
Folds: 1...5....10   CVF = .8130741
Grid value 16:    lambda = .1284329   no. of nonzero coef. =       3
Folds: 1...5....10   CVF = .8092077
Grid value 17:    lambda = .1170233   no. of nonzero coef. =       3
Folds: 1...5....10   CVF = .8057365
Grid value 18:    lambda = .1066273   no. of nonzero coef. =       6
Folds: 1...5....10   CVF = .8027615
Grid value 19:    lambda = .0971548   no. of nonzero coef. =      10
Folds: 1...5....10   CVF = .7986055
Grid value 20:    lambda = .0885238   no. of nonzero coef. =      13
Folds: 1...5....10   CVF = .7936076
Grid value 21:    lambda = .0806596   no. of nonzero coef. =      13
Folds: 1...5....10   CVF = .7886016
Grid value 22:    lambda =  .073494   no. of nonzero coef. =      23
Folds: 1...5....10   CVF = .7820133
Grid value 23:    lambda =  .066965   no. of nonzero coef. =      25
Folds: 1...5....10   CVF = .7737832
Grid value 24:    lambda =  .061016   no. of nonzero coef. =      28
Folds: 1...5....10   CVF =  .763743
Grid value 25:    lambda = .0555955   no. of nonzero coef. =      34
Folds: 1...5....10   CVF =  .753839
Grid value 26:    lambda = .0506566   no. of nonzero coef. =      36
Folds: 1...5....10   CVF = .7450406
Grid value 27:    lambda = .0461564   no. of nonzero coef. =      42
Folds: 1...5....10   CVF = .7363198
Grid value 28:    lambda =  .042056   no. of nonzero coef. =      49
Folds: 1...5....10   CVF = .7284327
Grid value 29:    lambda = .0383199   no. of nonzero coef. =      55
Folds: 1...5....10   CVF =  .720907
Grid value 30:    lambda = .0349156   no. of nonzero coef. =      56
Folds: 1...5....10   CVF = .7133685
Grid value 31:    lambda = .0318138   no. of nonzero coef. =      62
Folds: 1...5....10   CVF = .7078786
Grid value 32:    lambda = .0289876   no. of nonzero coef. =      68
Folds: 1...5....10   CVF = .7036087
Grid value 33:    lambda = .0264124   no. of nonzero coef. =      76
Folds: 1...5....10   CVF = .6998842
Grid value 34:    lambda =  .024066   no. of nonzero coef. =      81
Folds: 1...5....10   CVF =  .696737
Grid value 35:    lambda =  .021928   no. of nonzero coef. =      89
Folds: 1...5....10   CVF = .6939217
Grid value 36:    lambda =   .01998   no. of nonzero coef. =      99
Folds: 1...5....10   CVF = .6911864
Grid value 37:    lambda =  .018205   no. of nonzero coef. =     109
Folds: 1...5....10   CVF = .6883114
Grid value 38:    lambda = .0165878   no. of nonzero coef. =     113
Folds: 1...5....10   CVF = .6861004
Grid value 39:    lambda = .0151141   no. of nonzero coef. =     116
Folds: 1...5....10   CVF = .6840294
Grid value 40:    lambda = .0137714   no. of nonzero coef. =     127
Folds: 1...5....10   CVF =  .680955
Grid value 41:    lambda =  .012548   no. of nonzero coef. =     133
Folds: 1...5....10   CVF = .6772341
Grid value 42:    lambda = .0114333   no. of nonzero coef. =     137
Folds: 1...5....10   CVF = .6735847
Grid value 43:    lambda = .0104176   no. of nonzero coef. =     145
Folds: 1...5....10   CVF = .6709998
Grid value 44:    lambda = .0094921   no. of nonzero coef. =     153
Folds: 1...5....10   CVF = .6686182
Grid value 45:    lambda = .0086489   no. of nonzero coef. =     160
Folds: 1...5....10   CVF = .6666258
Grid value 46:    lambda = .0078805   no. of nonzero coef. =     165
Folds: 1...5....10   CVF = .6651219
Grid value 47:    lambda = .0071804   no. of nonzero coef. =     170
Folds: 1...5....10   CVF = .6645011
Grid value 48:    lambda = .0065426   no. of nonzero coef. =     172
Folds: 1...5....10   CVF = .6656781
Grid value 49:    lambda = .0059613   no. of nonzero coef. =     176
Folds: 1...5....10   CVF = .6689802
Grid value 50:    lambda = .0054317   no. of nonzero coef. =     182
Folds: 1...5....10   CVF = .6742864
... cross-validation complete ... minimum found

Lasso linear model                          No. of obs        =      1,215
                                            No. of covariates =        305
Selection: Cross-validation                 No. of CV folds   =         10

--------------------------------------------------------------------------
         |                                No. of      Out-of-      CV mean
         |                               nonzero       sample   prediction
      ID |     Description      lambda     coef.    R-squared        error
---------+----------------------------------------------------------------
       1 |    first lambda    .5184859         0      -0.0013     1.078082
      46 |   lambda before    .0078805       165       0.3822     .6651219
    * 47 | selected lambda    .0071804       170       0.3828     .6645011
      48 |    lambda after    .0065426       172       0.3817     .6656781
      50 |     last lambda    .0054317       182       0.3737     .6742864
--------------------------------------------------------------------------
* lambda selected by cross-validation.

. predict predict_all, xb
(option penalized assumed; linear prediction with penalized coefficients)

. 
. *Create one-off predictions
. foreach var in no_randomised lengthoftrial dose_min stdz_baseline dropout_share ///
>         mean_age share_female {
  2.         reg stdz_outcome_all c.`var'#i.drug_group i.scale_group i.year_group 
  3.         predict predict_`var', xb
  4.         global predict_`var'_r2 = `e(r2_a)'
  5. }

      Source |       SS           df       MS      Number of obs   =     1,215
-------------+----------------------------------   F(68, 1146)     =      5.98
       Model |  342.546085        68  5.03744243   Prob > F        =    0.0000
    Residual |  965.573383     1,146  .842559671   R-squared       =    0.2619
-------------+----------------------------------   Adj R-squared   =    0.2181
       Total |  1308.11947     1,214  1.07752839   Root MSE        =    .91791

--------------------------------------------------------------------------------------------
          stdz_outcome_all | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------+----------------------------------------------------------------
drug_group#c.no_randomised |
                       11  |  -.0091038   .0046159    -1.97   0.049    -.0181603   -.0000473
                       12  |   .0619112     .10725     0.58   0.564    -.1485172    .2723396
                       13  |  -.0047668   .0036551    -1.30   0.192    -.0119383    .0024046
                       14  |   .0257464   .0440419     0.58   0.559    -.0606654    .1121582
                       16  |  -.0034787   .0651732    -0.05   0.957    -.1313509    .1243935
                       17  |   -.102509   .0513443    -2.00   0.046    -.2032484   -.0017696
                       18  |   .0484515   .0322922     1.50   0.134     -.014907      .11181
                       20  |    .005802   .0465568     0.12   0.901    -.0855441    .0971481
                       21  |  -.0197931   .0651732    -0.30   0.761    -.1476653    .1080791
                       22  |    .202748   .1163919     1.74   0.082    -.0256172    .4311132
                       24  |     .28432   .1163919     2.44   0.015     .0559548    .5126851
                       26  |   .0018092   .0011724     1.54   0.123    -.0004911    .0041095
                       28  |   .0093512   .0030588     3.06   0.002     .0033498    .0153525
                       29  |   .0057982   .0017572     3.30   0.001     .0023506    .0092459
                       30  |   .0009942   .0016177     0.61   0.539    -.0021798    .0041683
                       31  |  -.0000187   .0010041    -0.02   0.985    -.0019888    .0019514
                       32  |   .0002215    .001683     0.13   0.895    -.0030806    .0035237
                       34  |   .0125103   .0090513     1.38   0.167    -.0052487    .0302693
                       36  |   .0018943   .0013875     1.37   0.172    -.0008281    .0046168
                       37  |   .0021573   .0017191     1.25   0.210    -.0012157    .0055303
                       39  |   .0228255   .0089794     2.54   0.011     .0052075    .0404435
                       40  |  -.0015945   .0012727    -1.25   0.211    -.0040916    .0009026
                       42  |  -.0009766   .0011507    -0.85   0.396    -.0032342    .0012811
                       43  |   .0022781   .0012731     1.79   0.074    -.0002196    .0047759
                       44  |   .0021552   .0010219     2.11   0.035     .0001502    .0041603
                       45  |   .0010858   .0025785     0.42   0.674    -.0039733    .0061449
                       46  |   .0001355   .0011639     0.12   0.907    -.0021481    .0024191
                       48  |  -.0040101   .0016976    -2.36   0.018    -.0073409   -.0006793
                       51  |   .0014756   .0046824     0.32   0.753    -.0077114    .0106627
                       53  |    .001086   .0018876     0.58   0.565    -.0026176    .0047896
                       54  |   .0040864   .0019864     2.06   0.040      .000189    .0079838
                       56  |   .0001145   .0039048     0.03   0.977     -.007547    .0077759
                       57  |   .0008388   .0005974     1.40   0.161    -.0003332    .0020109
                       60  |    .000163   .0022112     0.07   0.941    -.0041753    .0045014
                       61  |   .0016516   .0009254     1.78   0.075    -.0001641    .0034673
                       62  |  -.0045366   .0049957    -0.91   0.364    -.0143382    .0052651
                       65  |  -.0070714   .0006729   -10.51   0.000    -.0083916   -.0057511
                       67  |  -.0017493   .0016186    -1.08   0.280    -.0049251    .0014266
                       68  |   .0006551   .0027175     0.24   0.810    -.0046768     .005987
                       69  |   .0003954   .0011848     0.33   0.739    -.0019293    .0027201
                       70  |   .0009892   .0027185     0.36   0.716    -.0043446    .0063231
                       71  |   .0011937   .0012697     0.94   0.347    -.0012974    .0036848
                       73  |   .0021957   .0024471     0.90   0.370    -.0026056     .006997
                       75  |   .0024943   .0008401     2.97   0.003     .0008459    .0041427
                       76  |  -.0012908   .0016476    -0.78   0.434    -.0045234    .0019418
                       77  |  -.0026504   .0014221    -1.86   0.063    -.0054407    .0001399
                       79  |  -.0011488   .0014511    -0.79   0.429    -.0039959    .0016983
                       80  |   .0113447   .0083787     1.35   0.176    -.0050946     .027784
                           |
               scale_group |
                        2  |  -.9573351   .4297936    -2.23   0.026    -1.800606   -.1140644
                        3  |   .1470764   .4946703     0.30   0.766    -.8234847    1.117637
                        4  |  -.7517809   .4178369    -1.80   0.072    -1.571592    .0680302
                        5  |  -.9125348   .4189427    -2.18   0.030    -1.734516    -.090554
                        6  |  -.6895718   .4382339    -1.57   0.116    -1.549403    .1702589
                        7  |  -.2107082   .6786899    -0.31   0.756    -1.542322    1.120906
                        8  |  -.1065632    .678818    -0.16   0.875    -1.438429    1.225302
                        9  |  -.8422625   .4345219    -1.94   0.053     -1.69481    .0102853
                       10  |  -.8687812   .7815633    -1.11   0.267    -2.402237    .6646742
                       11  |  -.5475017   .4291681    -1.28   0.202    -1.389545    .2945416
                       12  |  -.9632425    .424955    -2.27   0.024     -1.79702   -.1294654
                           |
                year_group |
                        5  |   .4812066   .7256789     0.66   0.507    -.9426017    1.905015
                        6  |  -.6081267   .4442496    -1.37   0.171     -1.47976    .2635071
                        7  |   .4879032   .3785062     1.29   0.198    -.2547396    1.230546
                        8  |   .8294676   .3646939     2.27   0.023     .1139249     1.54501
                        9  |   .6193381   .3581712     1.73   0.084    -.0834066    1.322083
                       10  |   .9191928   .3511687     2.62   0.009     .2301872    1.608198
                       11  |   .9406519   .3575868     2.63   0.009     .2390536     1.64225
                       12  |   1.072079   .3582609     2.99   0.003     .3691585       1.775
                       13  |   1.080066   .3657714     2.95   0.003     .3624091    1.797723
                           |
                     _cons |   .0342077   .5416368     0.06   0.950    -1.028503    1.096919
--------------------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =     1,215
-------------+----------------------------------   F(68, 1146)     =      7.25
       Model |  393.497177        68  5.78672319   Prob > F        =    0.0000
    Residual |  914.622292     1,146  .798099731   R-squared       =    0.3008
-------------+----------------------------------   Adj R-squared   =    0.2593
       Total |  1308.11947     1,214  1.07752839   Root MSE        =    .89336

--------------------------------------------------------------------------------------------
          stdz_outcome_all | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------+----------------------------------------------------------------
drug_group#c.lengthoftrial |
                       11  |  -.1742684   .0874373    -1.99   0.046    -.3458235   -.0027132
                       12  |   .0176614   .0783816     0.23   0.822     -.136126    .1714489
                       13  |  -.1421277   .1037882    -1.37   0.171    -.3457638    .0615084
                       14  |   .1163258   .2249918     0.52   0.605    -.3251163    .5577679
                       16  |  -.0296808    .079682    -0.37   0.710    -.1860198    .1266581
                       17  |  -.2370479   .1124731    -2.11   0.035    -.4577241   -.0163717
                       18  |   .3058033   .2278381     1.34   0.180    -.1412232    .7528299
                       20  |  -.0071119   .2265195    -0.03   0.975    -.4515513    .4373276
                       21  |  -.0500738    .079682    -0.63   0.530    -.2064128    .1062651
                       22  |   .2462495    .151013     1.63   0.103    -.0500435    .5425425
                       24  |   .3550121    .151013     2.35   0.019     .0587191    .6513051
                       26  |   .0343003   .0109894     3.12   0.002     .0127387    .0558619
                       28  |   .0664029   .0208042     3.19   0.001     .0255842    .1072216
                       29  |   .0795964   .0202559     3.93   0.000     .0398536    .1193392
                       30  |   .0182475   .0133729     1.36   0.173    -.0079906    .0444857
                       31  |   .0002575   .0170177     0.02   0.988    -.0331318    .0336469
                       32  |   .0178105   .0199706     0.89   0.373    -.0213726    .0569935
                       34  |   .0195359   .0157493     1.24   0.215    -.0113648    .0504366
                       36  |   .0757446   .0207495     3.65   0.000     .0350333    .1164558
                       37  |   .0758914   .0252502     3.01   0.003     .0263496    .1254332
                       39  |     .01856   .0120008     1.55   0.122     -.004986     .042106
                       40  |   -.009721   .0316532    -0.31   0.759    -.0718258    .0523837
                       42  |   .0041517   .0138595     0.30   0.765    -.0230412    .0313446
                       43  |   .0604683   .0160909     3.76   0.000     .0288975    .0920392
                       44  |   .0460172   .0123014     3.74   0.000     .0218813     .070153
                       45  |   .0580706   .0316589     1.83   0.067    -.0040454    .1201865
                       46  |   .0056121    .013597     0.41   0.680    -.0210658      .03229
                       48  |  -.0748381   .0405473    -1.85   0.065    -.1543933    .0047171
                       51  |   -.002147   .0691921    -0.03   0.975    -.1379045    .1336104
                       53  |   .0342844   .0252463     1.36   0.175    -.0152498    .0838185
                       54  |   .0899358   .0280865     3.20   0.001     .0348291    .1450424
                       56  |   .0191485   .0256714     0.75   0.456    -.0312197    .0695168
                       57  |   .0068702   .0060473     1.14   0.256    -.0049948    .0187351
                       60  |   -.006952   .0427457    -0.16   0.871    -.0908205    .0769166
                       61  |    .034445   .0119757     2.88   0.004     .0109483    .0579418
                       62  |  -.0114165   .0115357    -0.99   0.323    -.0340499     .011217
                       65  |  -.0820431   .0090461    -9.07   0.000    -.0997918   -.0642943
                       67  |  -.0187248   .0080663    -2.32   0.020    -.0345512   -.0028984
                       68  |    .031361   .0290227     1.08   0.280    -.0255825    .0883046
                       69  |  -.0029273   .0076239    -0.38   0.701    -.0178857     .012031
                       70  |  -.0029118   .0321141    -0.09   0.928    -.0659208    .0600972
                       71  |   .0452398   .0172985     2.62   0.009     .0112995    .0791801
                       73  |   .0851633   .0350707     2.43   0.015     .0163533    .1539732
                       75  |   .0701858   .0139141     5.04   0.000     .0428858    .0974859
                       76  |  -.0088905   .0467842    -0.19   0.849    -.1006828    .0829017
                       77  |  -.0234733   .0298957    -0.79   0.433    -.0821297    .0351831
                       79  |  -.0218247   .0102656    -2.13   0.034    -.0419662   -.0016831
                       80  |   .0207544    .030295     0.69   0.493    -.0386854    .0801943
                           |
               scale_group |
                        2  |  -.5385137   .4217421    -1.28   0.202    -1.365987    .2889596
                        3  |   .4167379   .4862673     0.86   0.392    -.5373361    1.370812
                        4  |  -.5961927   .4083237    -1.46   0.145    -1.397339    .2049531
                        5  |  -.7909691   .4096282    -1.93   0.054    -1.594674    .0127362
                        6  |  -.5775303   .4284016    -1.35   0.178     -1.41807    .2630092
                        7  |  -.0787482   .6602301    -0.12   0.905    -1.374143    1.216647
                        8  |   .0180752   .6602301     0.03   0.978     -1.27732     1.31347
                        9  |  -.7742993   .4251127    -1.82   0.069    -1.608386    .0597872
                       10  |  -.6911728    .758077    -0.91   0.362    -2.178547    .7962016
                       11  |  -.4687755   .4166857    -1.13   0.261    -1.286328     .348777
                       12  |  -.5775579   .4177359    -1.38   0.167    -1.397171    .2420551
                           |
                year_group |
                        5  |   .3636922   .7121513     0.51   0.610    -1.033574    1.760959
                        6  |  -.5668523    .439272    -1.29   0.197     -1.42872    .2950153
                        7  |   .3657947   .3785773     0.97   0.334    -.3769876    1.108577
                        8  |   .6699654   .3650656     1.84   0.067    -.0463066    1.386237
                        9  |   .4707387   .3584025     1.31   0.189    -.2324601    1.173937
                       10  |   .7237116    .351131     2.06   0.040     .0347798    1.412643
                       11  |    .721021   .3558025     2.03   0.043     .0229236    1.419118
                       12  |    .789728   .3569666     2.21   0.027     .0893466    1.490109
                       13  |   .8227309   .3621987     2.27   0.023     .1120839    1.533378
                           |
                     _cons |  -.0806243   .5389422    -0.15   0.881    -1.138048    .9767998
--------------------------------------------------------------------------------------------
note: 65.drug_group#c.dose_min omitted because of collinearity.

      Source |       SS           df       MS      Number of obs   =     1,215
-------------+----------------------------------   F(67, 1147)     =      5.56
       Model |  320.877444        67  4.78921559   Prob > F        =    0.0000
    Residual |  987.242024     1,147  .860716673   R-squared       =    0.2453
-------------+----------------------------------   Adj R-squared   =    0.2012
       Total |  1308.11947     1,214  1.07752839   Root MSE        =    .92775

---------------------------------------------------------------------------------------
     stdz_outcome_all | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
----------------------+----------------------------------------------------------------
drug_group#c.dose_min |
                  11  |  -.0350263   .0410294    -0.85   0.393    -.1155273    .0454747
                  12  |   .0155582   .0181367     0.86   0.391    -.0200265     .051143
                  13  |    .001193   .0089286     0.13   0.894    -.0163253    .0187112
                  14  |   .0182731   .0187054     0.98   0.329    -.0184275    .0549737
                  16  |   .0069477   .0186412     0.37   0.709     -.029627    .0435224
                  17  |  -.3616726   .2335459    -1.55   0.122    -.8198978    .0965525
                  18  |   .0358679   .0175817     2.04   0.042      .001372    .0703638
                  20  |   .0120426   .0174784     0.69   0.491    -.0222506    .0463358
                  21  |   .0024089   .0186412     0.13   0.897    -.0341657    .0389836
                  22  |   .0399735   .0174784     2.29   0.022     .0056803    .0742668
                  24  |   .0520769   .0174784     2.98   0.003     .0177837    .0863702
                  26  |    .026718   .0069062     3.87   0.000     .0131678    .0402682
                  28  |   .0027505   .0006781     4.06   0.000       .00142    .0040809
                  29  |   .0084922   .0013006     6.53   0.000     .0059404     .011044
                  30  |     .02002   .0150231     1.33   0.183    -.0094558    .0494958
                  31  |   .0122564   .0538502     0.23   0.820    -.0933996    .1179124
                  32  |   .0024293   .0009622     2.52   0.012     .0005415    .0043171
                  34  |   .0017883   .0007201     2.48   0.013     .0003753    .0032012
                  36  |   .0312512   .0062039     5.04   0.000      .019079    .0434234
                  37  |   .0121798   .0028662     4.25   0.000     .0065562    .0178033
                  39  |   .0057235   .0012608     4.54   0.000     .0032498    .0081973
                  40  |   .0038233   .0036365     1.05   0.293    -.0033116    .0109582
                  42  |    .007929   .0026542     2.99   0.003     .0027213    .0131367
                  43  |   .0814057   .0127576     6.38   0.000     .0563748    .1064365
                  44  |   .0254968   .0046285     5.51   0.000     .0164155    .0345781
                  45  |   .0054622   .0016659     3.28   0.001     .0021935    .0087308
                  46  |   .0604809   .0127822     4.73   0.000     .0354018    .0855599
                  48  |   -.001538   .0048432    -0.32   0.751    -.0110405    .0079645
                  51  |   .0081996   .0058248     1.41   0.159    -.0032289    .0196281
                  53  |   .0065372     .00191     3.42   0.001     .0027898    .0102846
                  54  |   .0236214   .0067944     3.48   0.001     .0102905    .0369523
                  56  |   .0013717   .0009148     1.50   0.134    -.0004231    .0031665
                  57  |   .0931131   .0178603     5.21   0.000     .0580705    .1281556
                  60  |    .063039   .0304554     2.07   0.039     .0032845    .1227935
                  61  |   .0256195   .0049667     5.16   0.000     .0158748    .0353642
                  62  |  -.0550992    .116773    -0.47   0.637    -.2842117    .1740134
                  65  |          0  (omitted)
                  67  |   .0012582   .0005511     2.28   0.023      .000177    .0023394
                  68  |   .1090362   .0399895     2.73   0.006     .0305754    .1874969
                  69  |   .0522616   .0155835     3.35   0.001     .0216862    .0828369
                  70  |    .025221   .0167165     1.51   0.132    -.0075773    .0580193
                  71  |   .0086933   .0022051     3.94   0.000     .0043668    .0130198
                  73  |   .0046526   .0012357     3.77   0.000     .0022282    .0070771
                  75  |   .0059171    .001011     5.85   0.000     .0039334    .0079007
                  76  |   .0091778   .0114898     0.80   0.425    -.0133656    .0317213
                  77  |   .0240534   .0182446     1.32   0.188    -.0117431      .05985
                  79  |   .0022121   .0028585     0.77   0.439    -.0033963    .0078206
                  80  |   .0100061   .0024836     4.03   0.000     .0051331     .014879
                      |
          scale_group |
                   2  |   -.997737   .4397268    -2.27   0.023    -1.860496   -.1349778
                   3  |   .0031113   .5130682     0.01   0.995    -1.003546    1.009769
                   4  |  -.7920073   .4227038    -1.87   0.061    -1.621367    .0373521
                   5  |  -.9523864   .4243721    -2.24   0.025    -1.785019   -.1197537
                   6  |  -.8557467   .4439397    -1.93   0.054    -1.726772    .0152782
                   7  |  -.2998161    .683719    -0.44   0.661    -1.641296    1.041664
                   8  |  -.2029927    .683719    -0.30   0.767    -1.544473    1.138487
                   9  |  -.9627618   .4400051    -2.19   0.029    -1.826067   -.0994567
                  10  |  -1.207418   .7945767    -1.52   0.129    -2.766405    .3515688
                  11  |  -.6485173    .432042    -1.50   0.134    -1.496199     .199164
                  12  |   -.929977     .43293    -2.15   0.032    -1.779401   -.0805535
                      |
           year_group |
                   5  |   .3274551   .7354287     0.45   0.656    -1.115481    1.770392
                   6  |  -.4629951    .484953    -0.95   0.340     -1.41449    .4884993
                   7  |   .3858967   .4229682     0.91   0.362    -.4439814    1.215775
                   8  |   .7229872    .409111     1.77   0.077    -.0797026    1.525677
                   9  |   .6195519   .4025762     1.54   0.124    -.1703164     1.40942
                  10  |   .8993231   .3975449     2.26   0.024     .1193264     1.67932
                  11  |   .8952927   .4026704     2.22   0.026     .1052396    1.685346
                  12  |   .9561908    .403744     2.37   0.018     .1640313     1.74835
                  13  |   .7721602   .4085838     1.89   0.059    -.0294952    1.573816
                      |
                _cons |  -.3521695   .5781881    -0.61   0.543    -1.486594    .7822555
---------------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =     1,215
-------------+----------------------------------   F(68, 1146)     =      3.64
       Model |  232.441304        68  3.41825447   Prob > F        =    0.0000
    Residual |  1075.67816     1,146  .938637142   R-squared       =    0.1777
-------------+----------------------------------   Adj R-squared   =    0.1289
       Total |  1308.11947     1,214  1.07752839   Root MSE        =    .96883

--------------------------------------------------------------------------------------------
          stdz_outcome_all | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------+----------------------------------------------------------------
drug_group#c.stdz_baseline |
                       11  |  -3.174771   1.777503    -1.79   0.074    -6.662295    .3127536
                       12  |  -.5575056   .7432412    -0.75   0.453    -2.015772    .9007605
                       13  |   2296.957   4183.093     0.55   0.583    -5910.423    10504.34
                       14  |   .2816654   .5188406     0.54   0.587    -.7363187     1.29965
                       16  |  -.0606348   1.641761    -0.04   0.971    -3.281828    3.160559
                       17  |   2.008698   1.055363     1.90   0.057    -.0619628     4.07936
                       18  |  -2.210816   1.389411    -1.59   0.112     -4.93689    .5152579
                       20  |  -.4808211   1.928574    -0.25   0.803    -4.264752     3.30311
                       21  |   .7417605   3.709799     0.20   0.842    -6.536999     8.02052
                       22  |   2.937138   1.647259     1.78   0.075    -.2948434    6.169119
                       24  |   1.968729   .8043301     2.45   0.015     .3906041    3.546854
                       26  |   .1142538   .1734102     0.66   0.510    -.2259833    .4544909
                       28  |   1.093221   .3615363     3.02   0.003     .3838737    1.802568
                       29  |   .3406556   .0983142     3.46   0.001     .1477596    .5335517
                       30  |  -.0005596   .5896575    -0.00   0.999    -1.157489     1.15637
                       31  |   -.154718   1.555321    -0.10   0.921    -3.206315    2.896879
                       32  |   .3919383   .2758769     1.42   0.156    -.1493421    .9332187
                       34  |  -1.005775   .6219958    -1.62   0.106    -2.226154     .214603
                       36  |  -.2582518    .174163    -1.48   0.138     -.599966    .0834624
                       37  |   .5439883   .2579799     2.11   0.035     .0378225    1.050154
                       39  |   1.051536   .5112103     2.06   0.040     .0485226    2.054549
                       40  |   .8214174   1.104478     0.74   0.457    -1.345609    2.988444
                       42  |   .2227479   .1606027     1.39   0.166    -.0923605    .5378563
                       43  |   .0644838   .1660502     0.39   0.698    -.2613126    .3902802
                       44  |   .1525829   .1081195     1.41   0.158    -.0595515    .3647173
                       45  |   .4527441   .2788868     1.62   0.105     -.094442    .9999301
                       46  |   .5696063   .2118654     2.69   0.007     .1539188    .9852938
                       48  |  -.5813181   .8385824    -0.69   0.488    -2.226647    1.064011
                       51  |   .9196427   .9713393     0.95   0.344    -.9861602    2.825446
                       53  |   .3770066   .2781398     1.36   0.176    -.1687137    .9227268
                       54  |   .3513252   .2271875     1.55   0.122     -.094425    .7970753
                       56  |  -.1862912   .3778915    -0.49   0.622    -.9277279    .5551456
                       57  |   .3117961   .1560283     2.00   0.046     .0056629    .6179293
                       60  |   .0943848   .1097972     0.86   0.390    -.1210413    .3098108
                       61  |  -.1230284    .130095    -0.95   0.345    -.3782796    .1322227
                       62  |   1.147461   1.318705     0.87   0.384    -1.439885    3.734808
                       65  |  -.0030046   .0584308    -0.05   0.959     -.117648    .1116388
                       67  |   1.228063   .3503092     3.51   0.000     .5407439    1.915383
                       68  |   .4516091    .246721     1.83   0.067    -.0324664    .9356846
                       69  |   1.064883   .2540769     4.19   0.000     .5663752    1.563391
                       70  |   .0403592   .2478323     0.16   0.871    -.4458967    .5266151
                       71  |  -.1653244   .1368361    -1.21   0.227    -.4338018     .103153
                       73  |  -.0471702   .2727351    -0.17   0.863    -.5822863     .487946
                       75  |   .1020593   .1583701     0.64   0.519    -.2086685    .4127871
                       76  |  -1.101924   1.657383    -0.66   0.506    -4.353769    2.149921
                       77  |  -.5559572   .3556631    -1.56   0.118    -1.253781    .1418667
                       79  |   .2313829    .176312     1.31   0.190    -.1145475    .5773134
                       80  |   2.549829   .5636592     4.52   0.000      1.44391    3.655749
                           |
               scale_group |
                        2  |   -1.12374   .4490944    -2.50   0.012    -2.004879   -.2426004
                        3  |  -.2067409   .5249988    -0.39   0.694    -1.236807    .8233257
                        4  |  -.8740199   .4379512    -2.00   0.046    -1.733296   -.0147438
                        5  |  -1.014667   .4401117    -2.31   0.021    -1.878182   -.1511522
                        6  |  -.9012251   .4597203    -1.96   0.050    -1.803213    .0007629
                        7  |   -.566196   .7086139    -0.80   0.424    -1.956522    .8241302
                        8  |  -.4693726   .7086139    -0.66   0.508    -1.859699    .9209536
                        9  |  -.8788478     .45651    -1.93   0.054    -1.774537    .0168414
                       10  |  -1.404991   .8147282    -1.72   0.085    -3.003517    .1935351
                       11  |  -.5921811   .4468131    -1.33   0.185    -1.468845    .2844824
                       12  |  -1.077943   .4420595    -2.44   0.015     -1.94528   -.2106063
                           |
                year_group |
                        5  |   .3859034   .7673582     0.50   0.615    -1.119681    1.891488
                        6  |  -.7266357   .4680459    -1.55   0.121    -1.644959    .1916872
                        7  |   .4115716   .4052386     1.02   0.310    -.3835212    1.206664
                        8  |   .7910453   .3901165     2.03   0.043     .0256227    1.556468
                        9  |   .6296443   .3843543     1.64   0.102    -.1244726    1.383761
                       10  |   .9696184   .3764582     2.58   0.010     .2309939    1.708243
                       11  |    .987183   .3823675     2.58   0.010     .2369642    1.737402
                       12  |   1.055735   .3823756     2.76   0.006     .3055006     1.80597
                       13  |   .7381067   .3883749     1.90   0.058     -.023899    1.500112
                           |
                     _cons |   .1102771   .5735424     0.19   0.848    -1.015034    1.235588
--------------------------------------------------------------------------------------------
note: 16.drug_group#c.dropout_share omitted because of collinearity.

      Source |       SS           df       MS      Number of obs   =     1,215
-------------+----------------------------------   F(67, 1147)     =     10.79
       Model |  505.691392        67  7.54763271   Prob > F        =    0.0000
    Residual |  802.428077     1,147  .699588558   R-squared       =    0.3866
-------------+----------------------------------   Adj R-squared   =    0.3507
       Total |  1308.11947     1,214  1.07752839   Root MSE        =    .83641

--------------------------------------------------------------------------------------------
          stdz_outcome_all | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------+----------------------------------------------------------------
drug_group#c.dropout_share |
                       11  |  -.0323967   .0086596    -3.74   0.000    -.0493872   -.0154062
                       12  |  -.0914744    .079754    -1.15   0.252    -.2479545    .0650058
                       13  |  -.0564839    .023649    -2.39   0.017    -.1028841   -.0100837
                       14  |  -.0136869   .0254093    -0.54   0.590    -.0635409    .0361671
                       16  |          0  (omitted)
                       17  |  -.0904291   .0290095    -3.12   0.002    -.1473467   -.0335115
                       18  |   .0484438   .0828345     0.58   0.559    -.1140802    .2109678
                       20  |  -.0221272   .0213204    -1.04   0.300    -.0639586    .0197042
                       21  |  -.0301201   .0306842    -0.98   0.326    -.0903235    .0300834
                       22  |   .0496684   .0682253     0.73   0.467     -.084192    .1835289
                       24  |   .0254686   .0170563     1.49   0.136    -.0079965    .0589337
                       26  |  -.0142929   .0104677    -1.37   0.172    -.0348309    .0062452
                       28  |   .0051694   .0085942     0.60   0.548    -.0116927    .0220316
                       29  |  -.0149103   .0037716    -3.95   0.000    -.0223103   -.0075103
                       30  |  -.0202054   .0049279    -4.10   0.000     -.029874   -.0105368
                       31  |  -.0212656   .0092031    -2.31   0.021    -.0393223   -.0032088
                       32  |  -.0196726    .006716    -2.93   0.003    -.0328496   -.0064955
                       34  |  -.0141995   .0106472    -1.33   0.183    -.0350896    .0066907
                       36  |  -.0129854   .0065076    -2.00   0.046    -.0257534   -.0002173
                       37  |  -.0068465   .0081642    -0.84   0.402    -.0228649    .0091719
                       39  |   .0023171   .0114891     0.20   0.840    -.0202249     .024859
                       40  |  -.0379641   .0120666    -3.15   0.002    -.0616392   -.0142891
                       42  |  -.0257597   .0061067    -4.22   0.000    -.0377412   -.0137782
                       43  |  -.0071024   .0067306    -1.06   0.292     -.020308    .0061032
                       44  |  -.0173197   .0040005    -4.33   0.000    -.0251689   -.0094704
                       45  |  -.0226605   .0053997    -4.20   0.000    -.0332549   -.0120661
                       46  |  -.0171764   .0045889    -3.74   0.000    -.0261799   -.0081728
                       48  |  -.0418351   .0112949    -3.70   0.000     -.063996   -.0196742
                       51  |  -.0127726   .0076474    -1.67   0.095     -.027777    .0022319
                       53  |  -.0189422   .0076368    -2.48   0.013    -.0339258   -.0039586
                       54  |  -.0139747   .0067167    -2.08   0.038    -.0271531   -.0007964
                       56  |  -.0205831   .0063898    -3.22   0.001      -.03312   -.0080461
                       57  |  -.0158438   .0039793    -3.98   0.000    -.0236513   -.0080363
                       60  |  -.0219497   .0063348    -3.46   0.001    -.0343789   -.0095206
                       61  |  -.0213362   .0036416    -5.86   0.000    -.0284812   -.0141912
                       62  |    -.03815   .0197951    -1.93   0.054    -.0769887    .0006887
                       65  |  -.0440059   .0021151   -20.81   0.000    -.0481557    -.039856
                       67  |  -.0252528   .0042878    -5.89   0.000    -.0336655     -.01684
                       68  |  -.0146278   .0107193    -1.36   0.173    -.0356593    .0064038
                       69  |  -.0158966   .0044689    -3.56   0.000    -.0246647   -.0071284
                       70  |  -.0251711   .0076514    -3.29   0.001    -.0401834   -.0101588
                       71  |  -.0210949   .0048768    -4.33   0.000    -.0306632   -.0115265
                       73  |  -.0184162   .0057107    -3.22   0.001    -.0296207   -.0072116
                       75  |  -.0082727   .0045633    -1.81   0.070    -.0172261    .0006808
                       76  |  -.0204141   .0142323    -1.43   0.152    -.0483384    .0075102
                       77  |  -.0308855   .0113481    -2.72   0.007    -.0531509   -.0086202
                       79  |  -.0309677   .0058855    -5.26   0.000    -.0425152   -.0194202
                       80  |   -.002157   .0082081    -0.26   0.793    -.0182616    .0139475
                           |
               scale_group |
                        2  |  -.5309067   .4033067    -1.32   0.188    -1.322208    .2603949
                        3  |   .3606754   .4656991     0.77   0.439    -.5530423    1.274393
                        4  |  -.5351991   .3836121    -1.40   0.163    -1.287859     .217461
                        5  |   -.607381   .3844636    -1.58   0.114    -1.361712    .1469498
                        6  |  -.6590921   .4026319    -1.64   0.102     -1.44907    .1308855
                        7  |  -.0234118   .6213503    -0.04   0.970    -1.242522    1.195699
                        8  |   .0237458   .6202273     0.04   0.969    -1.193162    1.240653
                        9  |   -.667209    .398935    -1.67   0.095    -1.449933    .1155152
                       10  |  -.9475923   .7107914    -1.33   0.183    -2.342189    .4470048
                       11  |  -.4846585   .3910361    -1.24   0.215    -1.251885    .2825678
                       12  |  -.4742511   .3974885    -1.19   0.233    -1.254137     .305635
                           |
                year_group |
                        5  |   .5573479   .6571081     0.85   0.397    -.7319208    1.846617
                        6  |   .3846868    .416305     0.92   0.356    -.4321179    1.201492
                        7  |   .8110855   .3512042     2.31   0.021     .1220108     1.50016
                        8  |   1.249827   .3390113     3.69   0.000     .5846751    1.914979
                        9  |   1.001055   .3325194     3.01   0.003     .3486407     1.65347
                       10  |   1.272765   .3275134     3.89   0.000      .630172    1.915357
                       11  |   1.087164    .332341     3.27   0.001     .4350994    1.739228
                       12  |   1.212255   .3331534     3.64   0.000     .5585962    1.865913
                       13  |   .9910897   .3372803     2.94   0.003     .3293342    1.652845
                           |
                     _cons |   .1885484   .5035532     0.37   0.708    -.7994402    1.176537
--------------------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =     1,215
-------------+----------------------------------   F(68, 1146)     =      9.83
       Model |  481.818886        68  7.08557186   Prob > F        =    0.0000
    Residual |  826.300582     1,146  .721030176   R-squared       =    0.3683
-------------+----------------------------------   Adj R-squared   =    0.3308
       Total |  1308.11947     1,214  1.07752839   Root MSE        =    .84913

---------------------------------------------------------------------------------------
     stdz_outcome_all | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
----------------------+----------------------------------------------------------------
drug_group#c.mean_age |
                  11  |   -.037265   .0128749    -2.89   0.004    -.0625261    -.012004
                  12  |  -.0099228   .0226679    -0.44   0.662    -.0543981    .0345526
                  13  |  -.0230944   .0099929    -2.31   0.021    -.0427008   -.0034881
                  14  |   .0020247   .0254498     0.08   0.937    -.0479087     .051958
                  16  |  -.0167181   .0218365    -0.77   0.444    -.0595621    .0261259
                  17  |  -.0543017    .020487    -2.65   0.008    -.0944979   -.0141055
                  18  |   .0254798   .0299364     0.85   0.395    -.0332564     .084216
                  20  |  -.0096135   .0206214    -0.47   0.641    -.0500735    .0308465
                  21  |  -.0224816   .0218418    -1.03   0.304    -.0653359    .0203728
                  22  |   .0258291   .0206214     1.25   0.211    -.0146309    .0662891
                  24  |   .0411875   .0206214     2.00   0.046     .0007275    .0816475
                  26  |  -.0027027   .0048198    -0.56   0.575    -.0121594     .006754
                  28  |   .0127444   .0088145     1.45   0.148      -.00455    .0300388
                  29  |   -.000545   .0039335    -0.14   0.890    -.0082626    .0071726
                  30  |  -.0160248    .006976    -2.30   0.022    -.0297119   -.0023377
                  31  |  -.0227185   .0119306    -1.90   0.057    -.0461268    .0006898
                  32  |  -.0096666    .005531    -1.75   0.081    -.0205187    .0011855
                  34  |  -.0025681   .0074045    -0.35   0.729    -.0170961    .0119598
                  36  |  -.0002392   .0046862    -0.05   0.959    -.0094336    .0089553
                  37  |   .0063595   .0051575     1.23   0.218    -.0037598    .0164787
                  39  |   .0158451    .008373     1.89   0.059    -.0005829    .0322732
                  40  |  -.0166677   .0065596    -2.54   0.011    -.0295378   -.0037975
                  42  |  -.0117941   .0047892    -2.46   0.014    -.0211906   -.0023976
                  43  |   .0027829   .0052142     0.53   0.594    -.0074475    .0130134
                  44  |  -.0039777   .0039227    -1.01   0.311    -.0116742    .0037188
                  45  |  -.0056992   .0050725    -1.12   0.261    -.0156517    .0042532
                  46  |  -.0064089   .0060157    -1.07   0.287    -.0182119     .005394
                  48  |  -.0290716   .0080926    -3.59   0.000    -.0449496   -.0131936
                  51  |  -.0111819   .0108185    -1.03   0.302    -.0324083    .0100445
                  53  |  -.0033868    .006145    -0.55   0.582    -.0154434    .0086699
                  54  |  -.0006825   .0048625    -0.14   0.888     -.010223     .008858
                  56  |  -.0108753   .0063502    -1.71   0.087    -.0233347    .0015841
                  57  |  -.0077032   .0055625    -1.38   0.166    -.0186171    .0032107
                  60  |  -.0125587   .0068716    -1.83   0.068    -.0260411    .0009236
                  61  |  -.0047439   .0037549    -1.26   0.207    -.0121111    .0026234
                  62  |  -.0324531   .0217079    -1.49   0.135    -.0750447    .0101386
                  65  |  -.0331312   .0035597    -9.31   0.000    -.0401154    -.026147
                  67  |  -.0193413   .0070092    -2.76   0.006    -.0330936    -.005589
                  68  |  -.0004145   .0078205    -0.05   0.958    -.0157586    .0149296
                  69  |  -.0048639   .0056471    -0.86   0.389    -.0159437    .0062159
                  70  |  -.0154304   .0081654    -1.89   0.059    -.0314511    .0005904
                  71  |  -.0058172   .0043006    -1.35   0.176    -.0142552    .0026207
                  73  |  -.0040976   .0049975    -0.82   0.412    -.0139029    .0057077
                  75  |    .002309   .0043771     0.53   0.598     -.006279    .0108969
                  76  |   -.017474   .0102192    -1.71   0.088    -.0375245    .0025765
                  77  |   -.016301   .0056849    -2.87   0.004    -.0274549   -.0051471
                  79  |  -.0251594   .0073567    -3.42   0.001    -.0395936   -.0107252
                  80  |   .0116862   .0104517     1.12   0.264    -.0088204    .0321928
                      |
          scale_group |
                   2  |  -.5698393    .416756    -1.37   0.172     -1.38753    .2478511
                   3  |   .3878521    .484766     0.80   0.424    -.5632762     1.33898
                   4  |   -.438957   .3894183    -1.13   0.260     -1.20301    .3250958
                   5  |  -.6251649   .3901117    -1.60   0.109    -1.390578    .1402484
                   6  |  -.3856019   .4108108    -0.94   0.348    -1.191628    .4204238
                   7  |   .0483064   .6286637     0.08   0.939    -1.185155    1.281767
                   8  |   .1688266   .6289536     0.27   0.788    -1.065203    1.402856
                   9  |  -.5688786   .4055396    -1.40   0.161    -1.364562    .2268048
                  10  |  -.5779637   .7236918    -0.80   0.425    -1.997873    .8419457
                  11  |  -.2886683   .3975329    -0.73   0.468    -1.068642    .4913057
                  12  |  -.6023161   .4135381    -1.46   0.146    -1.413693    .2090605
                      |
           year_group |
                   5  |   .4624144   .6751989     0.68   0.494    -.8623503    1.787179
                   6  |  -.3112625   .4342973    -0.72   0.474     -1.16337    .5408445
                   7  |    .485552   .3830571     1.27   0.205    -.2660198    1.237124
                   8  |   .6956443   .3704364     1.88   0.061    -.0311653    1.422454
                   9  |   .4770716   .3658754     1.30   0.193    -.2407893    1.194932
                  10  |   .7588544   .3607648     2.10   0.036     .0510208    1.466688
                  11  |   .7709863    .366026     2.11   0.035     .0528301    1.489142
                  12  |   .8985903   .3665776     2.45   0.014     .1793517    1.617829
                  13  |    .860326   .3712641     2.32   0.021     .1318923     1.58876
                      |
                _cons |   .3050503   .5477318     0.56   0.578    -.7696193     1.37972
---------------------------------------------------------------------------------------
note: 18.drug_group#c.share_female omitted because of collinearity.

      Source |       SS           df       MS      Number of obs   =     1,215
-------------+----------------------------------   F(67, 1147)     =      9.68
       Model |  472.493716        67  7.05214502   Prob > F        =    0.0000
    Residual |  835.625752     1,147  .728531606   R-squared       =    0.3612
-------------+----------------------------------   Adj R-squared   =    0.3239
       Total |  1308.11947     1,214  1.07752839   Root MSE        =    .85354

-------------------------------------------------------------------------------------------
         stdz_outcome_all | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
drug_group#c.share_female |
                      11  |  -2.626684   1.903469    -1.38   0.168    -6.361355    1.107988
                      12  |   .4709743   1.159529     0.41   0.685    -1.804061     2.74601
                      13  |  -.2952174   .7980873    -0.37   0.712    -1.861092    1.270657
                      14  |   2.306607   2.267242     1.02   0.309    -2.141801    6.755014
                      16  |  -.2807501   1.235644    -0.23   0.820    -2.705126    2.143626
                      17  |  -2.879965   1.697178    -1.70   0.090    -6.209886    .4499565
                      18  |          0  (omitted)
                      20  |   .7091022   1.706876     0.42   0.678    -2.639847    4.058052
                      21  |   -.469316   .9885152    -0.47   0.635    -2.408817    1.470185
                      22  |   3.669273   1.706876     2.15   0.032      .320323    7.018222
                      24  |   4.952013   1.706876     2.90   0.004     1.603064    8.300963
                      26  |   .8632541   .3675876     2.35   0.019     .1420346    1.584474
                      28  |   2.968944      .6879     4.32   0.000      1.61926    4.318627
                      29  |   1.054476   .3204395     3.29   0.001     .4257633     1.68319
                      30  |   .7632612   .6830223     1.12   0.264     -.576852    2.103374
                      31  |  -.3531654   1.037668    -0.34   0.734    -2.389105    1.682774
                      32  |   .4733379   .4755677     1.00   0.320    -.4597422    1.406418
                      34  |   .6881571   .5734065     1.20   0.230    -.4368862      1.8132
                      36  |   1.305289   .3795259     3.44   0.001     .5606464    2.049932
                      37  |   1.458159   .4195683     3.48   0.001     .6349512    2.281366
                      39  |   4.144585    .911064     4.55   0.000     2.357046    5.932123
                      40  |  -.0845172   .4537743    -0.19   0.852     -.974838    .8058036
                      42  |    .224852   .3898089     0.58   0.564    -.5399665    .9896705
                      43  |   1.506546   .3908527     3.85   0.000     .7396791    2.273412
                      44  |   .8754197   .3036349     2.88   0.004     .2796776    1.471162
                      45  |   .6607858   .4199603     1.57   0.116    -.1631907    1.484762
                      46  |   1.805584   .4526938     3.99   0.000     .9173829    2.693785
                      48  |  -.9294488   .5567869    -1.67   0.095    -2.021884    .1629862
                      51  |   1.455391   1.653228     0.88   0.379      -1.7883    4.699082
                      53  |   .8565934   .5221955     1.64   0.101     -.167972    1.881159
                      54  |   1.307481    .433667     3.01   0.003     .4566119    2.158351
                      56  |   .2956987   .4193072     0.71   0.481    -.5269966    1.118394
                      57  |   1.596836   .4206117     3.80   0.000     .7715817    2.422091
                      60  |   .8011909   .6246631     1.28   0.200    -.4244197    2.026801
                      61  |    .719289   .3290399     2.19   0.029     .0737014    1.364877
                      62  |  -1.517143   2.852353    -0.53   0.595    -7.113557     4.07927
                      65  |  -1.376777   .2788124    -4.94   0.000    -1.923817   -.8297374
                      67  |    .872759    .578394     1.51   0.132    -.2620699    2.007588
                      68  |   .9453515   .5241493     1.80   0.072    -.0830475    1.973751
                      69  |    1.78461   .4364214     4.09   0.000     .9283362    2.640884
                      70  |   .6223602   .6927754     0.90   0.369    -.7368889    1.981609
                      71  |   .6373572   .3628503     1.76   0.079    -.0745677    1.349282
                      73  |   .7456414     .39479     1.89   0.059    -.0289502    1.520233
                      75  |   1.265948   .3323588     3.81   0.000     .6138489    1.918048
                      76  |  -.0918741   .7875048    -0.12   0.907    -1.636986    1.453237
                      77  |  -.2161707   .3996431    -0.54   0.589    -1.000284    .5679428
                      79  |   -.050287   .9214906    -0.05   0.956    -1.858283    1.757709
                      80  |   2.200307   1.047364     2.10   0.036     .1453427    4.255271
                          |
              scale_group |
                       2  |  -.8045763   .4165855    -1.93   0.054    -1.621931    .0127787
                       3  |   .2767954   .4862282     0.57   0.569     -.677201    1.230792
                       4  |  -.5383367   .3909292    -1.38   0.169    -1.305353    .2286797
                       5  |  -.7187281   .3918899    -1.83   0.067     -1.48763    .0501733
                       6  |   -.504665   .4111616    -1.23   0.220    -1.311378    .3020482
                       7  |   .0187219   .6327024     0.03   0.976    -1.222662    1.260106
                       8  |   .1155453   .6327024     0.18   0.855    -1.125839    1.356929
                       9  |  -.7421049   .4070671    -1.82   0.069    -1.540785    .0565748
                      10  |  -.6432507   .7271701    -0.88   0.377    -2.069983    .7834821
                      11  |  -.3933597    .398949    -0.99   0.324    -1.176111    .3893919
                      12  |  -.8879663   .4145814    -2.14   0.032    -1.701389   -.0745433
                          |
               year_group |
                       5  |   .6093584    .687114     0.89   0.375    -.7387829      1.9575
                       6  |  -.5896585    .536219    -1.10   0.272    -1.641739    .4624216
                       7  |   .2187402   .5030033     0.43   0.664    -.7681696     1.20565
                       8  |   .4123424   .4911881     0.84   0.401    -.5513856     1.37607
                       9  |   .1876838   .4896909     0.38   0.702    -.7731066    1.148474
                      10  |   .4862232   .4856489     1.00   0.317    -.4666367    1.439083
                      11  |   .4656941   .4872651     0.96   0.339    -.4903367    1.421725
                      12  |   .5801887   .4863836     1.19   0.233    -.3741127     1.53449
                      13  |   .5721063   .4853336     1.18   0.239    -.3801349    1.524347
                          |
                    _cons |   .0538684   .6717475     0.08   0.936    -1.264123     1.37186
-------------------------------------------------------------------------------------------

. 
. keep studyname drug unique_id predict*

. save ../derived/Prediction/prediction.dta, replace
file ../derived/Prediction/prediction.dta saved

. 
. clear matrix

. use "../derived/Combined/combined_pair_level.dta" if year!=., clear

. merge m:1 studyname unique_id using ../derived/Prediction/prediction.dta, assert(3) nogen       

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  
    -----------------------------------------

.                 
. foreach var in no_randomised lengthoftrial dose_min stdz_baseline dropout_share ///
>         mean_age share_female all {             
  2. 
.         bys pair_trial_no: egen min_predict_`var'=min(predict_`var')
  3.         gen predict_`var'_relative = predict_`var' - min_predict_`var'
  4.         
.         areg predict_`var'_relative sponsor i.scale_group i.year_group [aw=weight] ///
>                 , a(factor) cluster(cluster_group)
  5. 
.         egen total = total(weight) if e(sample)==1
  6.         summ total
  7.         local weight_N = `r(mean)'
  8.         drop total
  9.         
.         summ predict_`var'_relative if e(sample)
 10.         if "`var'"=="all" {
 11.                 matrix prediction = nullmat(prediction), (_b[sponsor] \ _se[sponsor] \ . ///
>                  \ `r(mean)' \ `weight_N')
 12.         }
 13.         else{
 14.                 matrix prediction = nullmat(prediction), (_b[sponsor] \ _se[sponsor] \ ${predict_`var'_r2} ///
>                  \ `r(mean)' \ `weight_N')          
 15.         }
 16. }
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7475
                                                    Adj R-squared     = 0.6859
                                                    Root MSE          = 0.2248

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0095375   .0372701    -0.26   0.798      -.08276    .0636851
             |
 scale_group |
          2  |   .0657671   .0730271     0.90   0.368    -.0777052    .2092394
          3  |          0  (omitted)
          4  |   .1012976   .0235317     4.30   0.000     .0550662     .147529
          5  |   .0317054   .0287757     1.10   0.271    -.0248286    .0882393
          6  |   .0924169   .0450797     2.05   0.041     .0038513    .1809826
          7  |   .1470162    .049481     2.97   0.003     .0498037    .2442287
          8  |   .1536896    .049481     3.11   0.002     .0564771    .2509021
          9  |   .0332276   .0369342     0.90   0.369     -.039335    .1057902
         10  |   .1196501    .072151     1.66   0.098    -.0221009    .2614011
         11  |   .1706795   .0360749     4.73   0.000      .099805    .2415539
         12  |   .0620839   .0748004     0.83   0.407    -.0848723    .2090402
             |
  year_group |
          5  |   .0361035   .0052066     6.93   0.000     .0258743    .0463326
          6  |  -.1458491   .1301488    -1.12   0.263    -.4015453    .1098471
          7  |   .0709591   .1096547     0.65   0.518    -.1444735    .2863917
          8  |   .0479104   .0937836     0.51   0.610    -.1363412    .2321619
          9  |   .0911413   .0934604     0.98   0.330    -.0924752    .2747578
         10  |   .1483925     .09491     1.56   0.119     -.038072     .334857
         11  |   .2030948   .0995539     2.04   0.042     .0075067    .3986829
         12  |    .213589   .0986122     2.17   0.031     .0198511    .4073269
         13  |   .1828431   .0999365     1.83   0.068    -.0134966    .3791827
             |
       _cons |  -.0148061   .0971884    -0.15   0.879    -.2057467    .1761346
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,990    .2123424    .3999816          0   3.101685
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8102
                                                    Adj R-squared     = 0.7639
                                                    Root MSE          = 0.2158

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0083439   .0378929    -0.22   0.826      -.08279    .0661022
             |
 scale_group |
          2  |   .0326585   .0507793     0.64   0.520    -.0671047    .1324218
          3  |          0  (omitted)
          4  |   .0940526   .0215155     4.37   0.000     .0517822     .136323
          5  |   .0491521   .0259034     1.90   0.058     -.001739    .1000431
          6  |   .0472433   .0352308     1.34   0.181    -.0219727    .1164592
          7  |   .0699832   .0383295     1.83   0.068    -.0053207    .1452871
          8  |   .0699833   .0383295     1.83   0.068    -.0053207    .1452872
          9  |   .0677459    .024302     2.79   0.006     .0200012    .1154907
         10  |   .0920885   .0373429     2.47   0.014      .018723    .1654539
         11  |   .0727924   .0313454     2.32   0.021     .0112098    .1343749
         12  |   .0638669   .0488413     1.31   0.192     -.032089    .1598228
             |
  year_group |
          5  |  -.4063158   1.96e-08 -2.1e+07   0.000    -.4063159   -.4063158
          6  |  -.3615276   .1371364    -2.64   0.009    -.6309518   -.0921033
          7  |  -.3658209   .0999544    -3.66   0.000    -.5621958    -.169446
          8  |   -.291285   .0955623    -3.05   0.002     -.479031    -.103539
          9  |  -.2817945   .0958417    -2.94   0.003    -.4700894   -.0934996
         10  |  -.2057038   .0951445    -2.16   0.031    -.3926289   -.0187787
         11  |  -.1589669    .099394    -1.60   0.110    -.3542408    .0363071
         12  |   -.218809   .0983758    -2.22   0.027    -.4120824   -.0255355
         13  |  -.1417287   .1077232    -1.32   0.189    -.3533665    .0699092
             |
       _cons |   .4015268   .0995128     4.03   0.000     .2060195    .5970342
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,990    .2384235    .4379031          0   3.103012
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7522
                                                    Adj R-squared     = 0.6917
                                                    Root MSE          = 0.1870

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0208462   .0274763     0.76   0.448    -.0331351    .0748274
             |
 scale_group |
          2  |  -.0540367   .0530007    -1.02   0.308    -.1581642    .0500908
          3  |          0  (omitted)
          4  |   .0850747   .0582158     1.46   0.145    -.0292987    .1994482
          5  |   .0609295   .0595144     1.02   0.306    -.0559951    .1778541
          6  |   .0291388   .0644933     0.45   0.652    -.0975676    .1558452
          7  |   .0104462   .0629358     0.17   0.868    -.1132004    .1340927
          8  |   .0104462   .0629358     0.17   0.868    -.1132004    .1340927
          9  |   .0882935   .0652372     1.35   0.177    -.0398744    .2164613
         10  |   .1760667   .0675879     2.61   0.009     .0432804     .308853
         11  |   .0819926   .0611827     1.34   0.181    -.0382098    .2021949
         12  |  -.0714711   .0412221    -1.73   0.084    -.1524579    .0095158
             |
  year_group |
          5  |   .2121343   .0839207     2.53   0.012     .0472599    .3770086
          6  |  -.1297593   .1257987    -1.03   0.303    -.3769089    .1173904
          7  |  -.1421683   .1147676    -1.24   0.216    -.3676458    .0833092
          8  |  -.1391442    .110336    -1.26   0.208    -.3559154    .0776269
          9  |  -.1860395    .108836    -1.71   0.088    -.3998636    .0277846
         10  |   -.167095   .1084422    -1.54   0.124    -.3801453    .0459553
         11  |  -.1862556   .1091599    -1.71   0.089    -.4007161    .0282049
         12  |  -.1614883   .1101475    -1.47   0.143     -.377889    .0549124
         13  |  -.1578905   .1097826    -1.44   0.151    -.3735743    .0577932
             |
       _cons |   .3314497   .1172346     2.83   0.005     .1011254     .561774
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,990     .224435    .3520354          0   2.807819
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5268
                                                    Adj R-squared     = 0.4114
                                                    Root MSE          = 0.1866

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_s~ve | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0274979   .0278379    -0.99   0.324    -.0821894    .0271936
             |
 scale_group |
          2  |  -.1585784   .1786508    -0.89   0.375    -.5095637    .1924069
          3  |          0  (omitted)
          4  |    .061134   .0188595     3.24   0.001     .0240819    .0981862
          5  |   .0580931    .022316     2.60   0.010     .0142501     .101936
          6  |   .0653312   .0293363     2.23   0.026     .0076958    .1229665
          7  |  -.0548598   .0414601    -1.32   0.186    -.1363141    .0265946
          8  |  -.0548598   .0414601    -1.32   0.186    -.1363141    .0265946
          9  |  -.0170785   .0253011    -0.68   0.500    -.0667861    .0326292
         10  |  -.0174812   .0284955    -0.61   0.540    -.0734648    .0385023
         11  |   .0684499   .0238411     2.87   0.004     .0216107    .1152891
         12  |  -.1764214   .1614077    -1.09   0.275    -.4935303    .1406874
             |
  year_group |
          5  |   .0945933   .0651188     1.45   0.147     -.033342    .2225287
          6  |    .253529   .1180305     2.15   0.032      .021641    .4854171
          7  |   .2138557   .1322433     1.62   0.106    -.0459553    .4736668
          8  |   .1437429    .126838     1.13   0.258    -.1054487    .3929344
          9  |   .1051628   .1259165     0.84   0.404    -.1422184    .3525441
         10  |   .1051886   .1267235     0.83   0.407    -.1437781    .3541554
         11  |   .1220867     .12714     0.96   0.337    -.1276983    .3718718
         12  |   .1030764   .1268656     0.81   0.417    -.1461694    .3523222
         13  |   .0964477   .1271433     0.76   0.448    -.1533437    .3462391
             |
       _cons |   .0111626   .1405278     0.08   0.937    -.2649245    .2872497
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_s~ve |      1,990    .1094285    .2436084          0   2.695112
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7615
                                                    Adj R-squared     = 0.7033
                                                    Root MSE          = 0.2528

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
~re_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0442331   .0341395     1.30   0.196    -.0228389     .111305
             |
 scale_group |
          2  |  -.0963011   .0734683    -1.31   0.191    -.2406403     .048038
          3  |          0  (omitted)
          4  |  -.0304384   .0208768    -1.46   0.145    -.0714538    .0105771
          5  |   .0232383   .0232058     1.00   0.317    -.0223529    .0688295
          6  |  -.0988536   .0452149    -2.19   0.029    -.1876847   -.0100224
          7  |  -.0146041   .0434302    -0.34   0.737    -.0999291    .0707209
          8  |   .0131415   .0434302     0.30   0.762    -.0721835    .0984665
          9  |   .0242401   .0563189     0.43   0.667    -.0864066    .1348868
         10  |   -.121185   .0486807    -2.49   0.013    -.2168253   -.0255446
         11  |  -.0945005   .0306026    -3.09   0.002    -.1546237   -.0343773
         12  |  -.0543706   .0595307    -0.91   0.362    -.1713272     .062586
             |
  year_group |
          5  |   .0293026   .0847006     0.35   0.730     -.137104    .1957091
          6  |   .4466827   .2357891     1.89   0.059    -.0165591    .9099245
          7  |   .0316096   .1535172     0.21   0.837    -.2699972    .3332163
          8  |   .1117685   .1388105     0.81   0.421    -.1609449    .3844819
          9  |   .1246236   .1352492     0.92   0.357     -.141093    .3903402
         10  |   .0851835   .1373702     0.62   0.535    -.1847001    .3550672
         11  |  -.0353981   .1388109    -0.26   0.799    -.3081123    .2373161
         12  |  -.0250309   .1392856    -0.18   0.857    -.2986775    .2486158
         13  |  -.0123437   .1397271    -0.09   0.930    -.2868579    .2621704
             |
       _cons |   .2334739   .1375162     1.70   0.090    -.0366966    .5036445
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
~re_relative |      1,990    .2552308    .4661904          0   3.786713
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9688
                                                    Adj R-squared     = 0.9612
                                                    Root MSE          = 0.0976

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_m~ve | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0050474   .0143941     0.35   0.726    -.0232319    .0333266
             |
 scale_group |
          2  |  -.0027512   .0140028    -0.20   0.844    -.0302617    .0247593
          3  |          0  (omitted)
          4  |   .0180508    .012162     1.48   0.138    -.0058431    .0419448
          5  |   .0007862   .0107214     0.07   0.942    -.0202775      .02185
          6  |   .0405654   .0404186     1.00   0.316    -.0388428    .1199735
          7  |  -.0303009   .0225437    -1.34   0.180    -.0745913    .0139894
          8  |  -.0226127   .0225437    -1.00   0.316    -.0669031    .0216777
          9  |   .0258903    .013835     1.87   0.062    -.0012905    .0530711
         10  |  -.0566827   .0441538    -1.28   0.200    -.1434292    .0300637
         11  |   .0239499   .0174582     1.37   0.171    -.0103493     .058249
         12  |  -.0002021   .0094364    -0.02   0.983    -.0187413    .0183371
             |
  year_group |
          5  |  -.1397579   .0219318    -6.37   0.000    -.1828461   -.0966697
          6  |   .0191332   .0684888     0.28   0.780     -.115423    .1536895
          7  |  -.0347195   .0467081    -0.74   0.458    -.1264843    .0570453
          8  |  -.0367285   .0440411    -0.83   0.405    -.1232537    .0497966
          9  |  -.0355601   .0442669    -0.80   0.422    -.1225289    .0514086
         10  |  -.0538177   .0440945    -1.22   0.223    -.1404476    .0328123
         11  |  -.0412352    .046742    -0.88   0.378    -.1330666    .0505961
         12  |  -.0391425   .0463923    -0.84   0.399     -.130287    .0520019
         13  |  -.0432943   .0472134    -0.92   0.360    -.1360518    .0494632
             |
       _cons |   .3404135   .0461934     7.37   0.000       .24966    .4311671
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_m~ve |      1,990    .2958086    .4804672          0   3.157781
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9447
                                                    Adj R-squared     = 0.9312
                                                    Root MSE          = 0.1269

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
~le_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0214756    .020907    -1.03   0.305    -.0625506    .0195993
             |
 scale_group |
          2  |  -.0601248   .0680284    -0.88   0.377    -.1937763    .0735268
          3  |          0  (omitted)
          4  |   .0152831   .0145084     1.05   0.293    -.0132208     .043787
          5  |    .010656   .0152032     0.70   0.484    -.0192128    .0405249
          6  |   .0066471   .0229404     0.29   0.772    -.0384228    .0517169
          7  |   .0120652   .0248407     0.49   0.627    -.0367379    .0608684
          8  |   .0120652   .0248407     0.49   0.627     -.036738    .0608684
          9  |   .0122386   .0245604     0.50   0.618    -.0360139    .0604912
         10  |  -.0105469   .0203115    -0.52   0.604    -.0504517    .0293579
         11  |   .0155639   .0273696     0.57   0.570    -.0382077    .0693355
         12  |  -.0575642   .0562778    -1.02   0.307      -.16813    .0530017
             |
  year_group |
          5  |  -.2477421   .0308032    -8.04   0.000    -.3082595   -.1872248
          6  |  -.6968796   .1332569    -5.23   0.000    -.9586819   -.4350772
          7  |   -.793695   .1373311    -5.78   0.000    -1.063502   -.5238881
          8  |  -.7776296    .135262    -5.75   0.000    -1.043371   -.5118879
          9  |  -.7704783   .1351629    -5.70   0.000    -1.036025   -.5049312
         10  |  -.7677708    .133291    -5.76   0.000     -1.02964   -.5059014
         11  |   -.733471   .1342036    -5.47   0.000    -.9971333   -.4698087
         12  |   -.737825   .1341709    -5.50   0.000    -1.001423   -.4742269
         13  |  -.7316943   .1348008    -5.43   0.000      -.99653   -.4668585
             |
       _cons |   1.061898   .1343791     7.90   0.000     .7978911    1.325906
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
~le_relative |      1,990    .2874978    .4752968          0   3.219681
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8085
                                                    Adj R-squared     = 0.7618
                                                    Root MSE          = 0.2398

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0056689   .0346823     0.16   0.870    -.0624694    .0738072
             |
 scale_group |
          2  |   -.196499   .1481809    -1.33   0.185    -.4876219    .0946239
          3  |          0  (omitted)
          4  |   .0399797    .020538     1.95   0.052    -.0003702    .0803295
          5  |   .0429154   .0216062     1.99   0.048      .000467    .0853638
          6  |   .0630279   .0449124     1.40   0.161     -.025209    .1512647
          7  |  -.0107741   .0389073    -0.28   0.782    -.0872131     .065665
          8  |   -.015538   .0389073    -0.40   0.690     -.091977    .0609011
          9  |   .1291755   .0462772     2.79   0.005     .0382573    .2200938
         10  |  -.0833087   .0546449    -1.52   0.128    -.1906665    .0240491
         11  |   .0605382    .038126     1.59   0.113    -.0143659    .1354423
         12  |  -.0985864   .1341106    -0.74   0.463    -.3620661    .1648932
             |
  year_group |
          5  |  -.1299285   .0340687    -3.81   0.000    -.1968615   -.0629956
          6  |  -.0335234   .0876226    -0.38   0.702    -.2056707    .1386239
          7  |  -.1915285   .0911074    -2.10   0.036    -.3705222   -.0125348
          8  |  -.2012474   .0756535    -2.66   0.008    -.3498796   -.0526151
          9  |  -.2408911   .0698755    -3.45   0.001    -.3781717   -.1036105
         10  |  -.2143195   .0712417    -3.01   0.003    -.3542841    -.074355
         11  |   -.231658   .0737261    -3.14   0.002    -.3765035   -.0868125
         12  |  -.2119181   .0745728    -2.84   0.005    -.3584271    -.065409
         13  |  -.1633948   .0774818    -2.11   0.035    -.3156189   -.0111706
             |
       _cons |   .5295992   .0900997     5.88   0.000     .3525852    .7066131
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,990    .3208372    .4845151          0   2.688831

. matrix list prediction

prediction[5,8]
            c1          c2          c3          c4          c5          c6          c7          c8
r1  -.00953746   -.0083439   .02084615  -.02749787   .04423306   .00504738  -.02147564   .00566893
r2   .03727014    .0378929   .02747634   .02783786   .03413947   .01439407   .02090705   .03468226
r3   .21806267   .25932371   .20121207     .128898   .35074698    .3308481   .32388639           .
r4   .21234238   .23842352   .22443502    .1094285   .25523082   .29580857   .28749782   .32083717
r5        1215        1215        1215        1215        1215        1215        1215        1215

. 
. ** Add bootstrapped standard errors
. forvalues bstrap=1/100 {        
  2.         use "../derived/Combined/combined_pair_level.dta" if year!=., clear
  3. 
.         merge m:1 studyname unique_id using ../derived/Prediction/prediction_bstrap.dta, keepusing(*_`bstrap')
  4.                         
.         foreach var in no_randomised lengthoftrial dose_min stdz_baseline dropout_share ///
>                 mean_age share_female all {             
  5.                 bys pair_trial_no: egen min_predict_`var'=min(predict_`var')
  6.                 gen predict_`var'_relative = predict_`var' - min_predict_`var'
  7.                 
.                 areg predict_`var'_relative sponsor i.scale_group i.year_group [aw=weight] ///
>                         , a(factor) cluster(cluster_group)
  8. 
.                 egen total = total(weight) if e(sample)==1
  9.                 summ total
 10.                 local weight_N `r(mean)'
 11.                 drop total
 12.                 
.                 summ predict_`var'_relative if e(sample)
 13.                 matrix prediction_`bstrap' = nullmat(prediction_`bstrap'), (_b[sponsor])
 14.         }
 15.         matrix prediction_bstrap = nullmat(prediction_bstrap) \ prediction_`bstrap'
 16. }

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(16, 302)        =   6.69
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8231
                                                    Adj R-squared     = 0.7621
                                                    Root MSE          = 0.1947

                        (Std. err. adjusted for 303 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0006667   .0443208    -0.02   0.988    -.0878834    .0865499
             |
 scale_group |
          2  |   .0902068   .0432466     2.09   0.038     .0051039    .1753097
          3  |  -.2144201   .2197151    -0.98   0.330    -.6467866    .2179463
          4  |   .1500939    .032334     4.64   0.000     .0864653    .2137225
          5  |   .1429848   .0462784     3.09   0.002     .0519159    .2340537
          6  |    .163864   .0531109     3.09   0.002     .0593496    .2683783
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .1543647   .0595109     2.59   0.010     .0372561    .2714733
         10  |          0  (empty)
         11  |   .2117324   .0510943     4.14   0.000     .1111865    .3122784
         12  |          0  (omitted)
             |
  year_group |
          5  |    .036323   .0061653     5.89   0.000     .0241906    .0484553
          6  |          0  (omitted)
          7  |   .3431046   .1773887     1.93   0.054    -.0059697    .6921789
          8  |   .1998549   .1746535     1.14   0.253    -.1438371    .5435469
          9  |   .2411003   .1717219     1.40   0.161    -.0968227    .5790233
         10  |    .336893   .1714196     1.97   0.050    -.0004351    .6742211
         11  |   .4249316   .1746583     2.43   0.016     .0812303    .7686329
         12  |   .4378174    .170827     2.56   0.011     .1016554    .7739794
         13  |   .4152436   .1698619     2.44   0.015     .0809808    .7495063
             |
       _cons |  -.2585506   .1691387    -1.53   0.127    -.5913902    .0742891
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,226     .202818    .3867233          0   2.472757
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(15, 302)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8795
                                                    Adj R-squared     = 0.8380
                                                    Root MSE          = 0.1849

                        (Std. err. adjusted for 303 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0381293   .0396527    -0.96   0.337    -.1161599    .0399014
             |
 scale_group |
          2  |   .0196788   .0178057     1.11   0.270    -.0153601    .0547178
          3  |  -.1085801   .0727091    -1.49   0.136    -.2516608    .0345006
          4  |   .1593445   .0333763     4.77   0.000     .0936648    .2250241
          5  |   .0980476   .0338636     2.90   0.004      .031409    .1646861
          6  |   .1576414    .041929     3.76   0.000     .0751313    .2401514
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .1425575   .0386692     3.69   0.000     .0664622    .2186527
         10  |          0  (empty)
         11  |    .149221     .04596     3.25   0.001     .0587786    .2396633
         12  |          0  (omitted)
             |
  year_group |
          5  |  -.4738334          .        .       .            .           .
          6  |          0  (omitted)
          7  |   .1383242   .0416183     3.32   0.001     .0564257    .2202227
          8  |   .1704111   .0384366     4.43   0.000     .0947736    .2460486
          9  |   .1541026   .0385122     4.00   0.000     .0783164    .2298888
         10  |   .2230116   .0406006     5.49   0.000     .1431157    .3029074
         11  |   .2968893   .0572823     5.18   0.000     .1841662    .4096124
         12  |   .1940112   .0384333     5.05   0.000     .1183803    .2696421
         13  |   .1687776   .0445627     3.79   0.000     .0810849    .2564703
             |
       _cons |  -.0244332   .0514124    -0.48   0.635    -.1256051    .0767388
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,226    .2389551    .4501471          0   3.320233
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(16, 302)        =   1.04
                                                    Prob > F          = 0.4158
                                                    R-squared         = 0.8470
                                                    Adj R-squared     = 0.7943
                                                    Root MSE          = 0.1621

                        (Std. err. adjusted for 303 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0208426   .0279552    -0.75   0.457    -.0758542    .0341691
             |
 scale_group |
          2  |   .0319544   .0474942     0.67   0.502    -.0615071    .1254158
          3  |   .1256346   .1227104     1.02   0.307    -.1158411    .3671102
          4  |   .0025608    .014276     0.18   0.858    -.0255323    .0306538
          5  |   .0059103   .0242922     0.24   0.808    -.0418932    .0537137
          6  |  -.0511303   .0380447    -1.34   0.180    -.1259965     .023736
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0193495   .0298525    -0.65   0.517    -.0780946    .0393957
         10  |          0  (empty)
         11  |   .0062713   .0358712     0.17   0.861    -.0643178    .0768604
         12  |          0  (omitted)
             |
  year_group |
          5  |   .2327846   .1105759     2.11   0.036     .0151878    .4503814
          6  |          0  (omitted)
          7  |  -.1242982   .0548679    -2.27   0.024    -.2322701   -.0163263
          8  |  -.1018639   .0603805    -1.69   0.093    -.2206837    .0169559
          9  |  -.0986114   .0532239    -1.85   0.065    -.2033481    .0061253
         10  |   -.094803   .0536263    -1.77   0.078    -.2003316    .0107256
         11  |  -.0859807   .0553104    -1.55   0.121    -.1948232    .0228619
         12  |  -.0703262   .0563102    -1.25   0.213    -.1811362    .0404839
         13  |  -.0749082   .0541068    -1.38   0.167    -.1813823    .0315659
             |
       _cons |   .2998709   .0572842     5.23   0.000     .1871441    .4125977
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,226    .2181138    .3657429          0   2.829398
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(16, 302)        =   3.70
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5888
                                                    Adj R-squared     = 0.4471
                                                    Root MSE          = 0.2000

                        (Std. err. adjusted for 303 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.003664   .0381053    -0.10   0.923    -.0786495    .0713216
             |
 scale_group |
          2  |  -.0628868   .0354967    -1.77   0.077     -.132739    .0069655
          3  |   .4476562   .3674077     1.22   0.224    -.2753471     1.17066
          4  |   .0403663   .0176903     2.28   0.023     .0055544    .0751782
          5  |   .0273484   .0301892     0.91   0.366    -.0320594    .0867563
          6  |   .0666678   .0441506     1.51   0.132     -.020214    .1535496
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0460623   .0387679    -1.19   0.236    -.1223516    .0302271
         10  |          0  (empty)
         11  |   .0930116   .0469121     1.98   0.048     .0006957    .1853275
         12  |          0  (omitted)
             |
  year_group |
          5  |   .1609388   .1814914     0.89   0.376    -.1962092    .5180867
          6  |          0  (omitted)
          7  |  -.1398365   .0627251    -2.23   0.027    -.2632702   -.0164028
          8  |  -.1073857   .0817237    -1.31   0.190    -.2682057    .0534343
          9  |   -.181411   .0621415    -2.92   0.004    -.3036962   -.0591259
         10  |  -.1732668   .0652231    -2.66   0.008    -.3016161   -.0449175
         11  |  -.1621103    .065311    -2.48   0.014    -.2906324   -.0335881
         12  |  -.1994244   .0647561    -3.08   0.002    -.3268548    -.071994
         13  |  -.1777579   .0650108    -2.73   0.007    -.3056894   -.0498263
             |
       _cons |   .2692161   .0719071     3.74   0.000     .1277138    .4107185
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,226    .1237145     .260528          0   2.525102
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(16, 302)        =   6.82
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8122
                                                    Adj R-squared     = 0.7475
                                                    Root MSE          = 0.2246

                        (Std. err. adjusted for 303 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0238146   .0481463     0.49   0.621    -.0709301    .1185593
             |
 scale_group |
          2  |   .1641127   .1945295     0.84   0.400    -.2186922    .5469176
          3  |          0  (omitted)
          4  |  -.0247447   .0307966    -0.80   0.422    -.0853478    .0358584
          5  |   .0541868   .0439155     1.23   0.218    -.0322324     .140606
          6  |  -.0981142   .0554777    -1.77   0.078     -.207286    .0110576
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0148906   .0813854     0.18   0.855    -.1452636    .1750448
         10  |          0  (empty)
         11  |  -.0805914    .045664    -1.76   0.079    -.1704514    .0092686
         12  |   .1790558   .1929382     0.93   0.354    -.2006176    .5587293
             |
  year_group |
          5  |  -.0051423   .1783802    -0.03   0.977    -.3561677    .3458832
          6  |          0  (omitted)
          7  |  -.1555814   .2022617    -0.77   0.442    -.5536021    .2424394
          8  |  -.2265279   .1783017    -1.27   0.205     -.577399    .1243432
          9  |  -.2165995   .1710629    -1.27   0.206    -.5532257    .1200267
         10  |  -.2224091   .1723235    -1.29   0.198    -.5615158    .1166976
         11  |  -.3730049   .1737435    -2.15   0.033     -.714906   -.0311038
         12  |  -.3303196   .1735506    -1.90   0.058    -.6718412    .0112021
         13  |  -.3739595   .1757579    -2.13   0.034    -.7198246   -.0280943
             |
       _cons |   .4879879   .1819953     2.68   0.008     .1298485    .8461273
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,226    .2550673    .4573899          0    2.78098
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(16, 302)        =   1.71
                                                    Prob > F          = 0.0440
                                                    R-squared         = 0.9737
                                                    Adj R-squared     = 0.9647
                                                    Root MSE          = 0.0899

                        (Std. err. adjusted for 303 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0038988    .020253    -0.19   0.847    -.0437536    .0359561
             |
 scale_group |
          2  |    .034623   .0472907     0.73   0.465     -.058438     .127684
          3  |          0  (omitted)
          4  |   .0077683   .0167292     0.46   0.643    -.0251523    .0406889
          5  |   .0061777   .0192263     0.32   0.748    -.0316567    .0440121
          6  |   .0417935   .0549862     0.76   0.448    -.0664111    .1499981
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0244132   .0210084     1.16   0.246    -.0169282    .0657546
         10  |          0  (empty)
         11  |   .0247605   .0304093     0.81   0.416    -.0350806    .0846015
         12  |    .039881    .047133     0.85   0.398    -.0528696    .1326316
             |
  year_group |
          5  |  -.1513159   .0349227    -4.33   0.000    -.2200385   -.0825932
          6  |          0  (omitted)
          7  |  -.0698502   .0973899    -0.72   0.474    -.2614989    .1217984
          8  |   -.067754   .0965779    -0.70   0.484    -.2578048    .1222967
          9  |  -.0739233   .0972109    -0.76   0.448    -.2652198    .1173732
         10  |  -.0764146   .0967154    -0.79   0.430    -.2667361    .1139068
         11  |  -.0710409   .1003622    -0.71   0.480    -.2685386    .1264567
         12  |  -.0582978   .0980694    -0.59   0.553    -.2512838    .1346882
         13  |  -.0633983   .1001579    -0.63   0.527     -.260494    .1336974
             |
       _cons |    .354455   .0993374     3.57   0.000      .158974    .5499361
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,226    .2859707    .4638186          0   3.115984
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(16, 302)        =   3.65
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9535
                                                    Adj R-squared     = 0.9375
                                                    Root MSE          = 0.1175

                        (Std. err. adjusted for 303 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0143425   .0317774     0.45   0.652    -.0481906    .0768757
             |
 scale_group |
          2  |   .2929517    .277404     1.06   0.292    -.2529378    .8388412
          3  |          0  (omitted)
          4  |   .0500744   .0203895     2.46   0.015      .009951    .0901979
          5  |   .0585115   .0289814     2.02   0.044     .0014804    .1155427
          6  |   .0676943   .0290779     2.33   0.021     .0104733    .1249153
          7  |          0  (empty)
          8  |          0  (empty)
          9  |    .091121    .034302     2.66   0.008     .0236199    .1586222
         10  |          0  (empty)
         11  |   .0543334   .0343852     1.58   0.115    -.0133316    .1219984
         12  |   .2677008    .274978     0.97   0.331    -.2734147    .8088164
             |
  year_group |
          5  |  -.2770241   .0506427    -5.47   0.000    -.3766814   -.1773667
          6  |          0  (omitted)
          7  |  -.0240482   .0340858    -0.71   0.481     -.091124    .0430276
          8  |  -.0271893    .033617    -0.81   0.419    -.0933425     .038964
          9  |   .0344585   .0297558     1.16   0.248    -.0240965    .0930136
         10  |   .0148517   .0315484     0.47   0.638    -.0472308    .0769342
         11  |    .073322    .038545     1.90   0.058    -.0025288    .1491729
         12  |   .0817391   .0359887     2.27   0.024     .0109187    .1525595
         13  |   .0914468   .0399864     2.29   0.023     .0127595    .1701341
             |
       _cons |    .120057   .0876131     1.37   0.172    -.0523526    .2924665
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,226    .2716497    .4632117          0    3.20774
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(16, 302)        =  23.47
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9192
                                                    Adj R-squared     = 0.8913
                                                    Root MSE          = 0.1432

                        (Std. err. adjusted for 303 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0321221   .0303088     1.06   0.290    -.0275211    .0917654
             |
 scale_group |
          2  |   -.412313    .217451    -1.90   0.059    -.8402241    .0155981
          3  |          0  (omitted)
          4  |   .0011015   .0153389     0.07   0.943    -.0290833    .0312862
          5  |   .0278599   .0214729     1.30   0.195    -.0143956    .0701153
          6  |   .0143525   .0423621     0.34   0.735    -.0690098    .0977148
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0085899   .0339671     0.25   0.801    -.0582523    .0754321
         10  |          0  (empty)
         11  |  -.0041574   .0272389    -0.15   0.879    -.0577595    .0494447
         12  |  -.3561203   .2171099    -1.64   0.102      -.78336    .0711195
             |
  year_group |
          5  |  -.0922616      .0623    -1.48   0.140    -.2148586    .0303355
          6  |          0  (omitted)
          7  |  -.1822851   .0526709    -3.46   0.001    -.2859335   -.0786367
          8  |  -.1464747   .0494111    -2.96   0.003    -.2437083    -.049241
          9  |   -.184842   .0370915    -4.98   0.000    -.2578325   -.1118514
         10  |  -.1837554   .0380203    -4.83   0.000    -.2585737   -.1089371
         11  |  -.2367651    .040197    -5.89   0.000    -.3158668   -.1576635
         12  |   -.223313   .0386857    -5.77   0.000    -.2994407   -.1471853
         13  |  -.2271077   .0384607    -5.90   0.000    -.3027925   -.1514229
             |
       _cons |   .5460277   .0760456     7.18   0.000     .3963813    .6956741
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,226      .26308     .431443          0   2.404907

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(662 missing values generated)
(662 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,328
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(16, 319)        =  16.96
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7739
                                                    Adj R-squared     = 0.6979
                                                    Root MSE          = 0.2484

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0202577   .0619775     0.33   0.744    -.1016786    .1421941
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0659996    .040066    -1.65   0.100    -.1448266    .0128273
          4  |   .0345465    .128258     0.27   0.788     -.217792    .2868849
          5  |  -.0558838   .1287949    -0.43   0.665    -.3092786     .197511
          6  |    .027101   .1286187     0.21   0.833    -.2259471    .2801491
          7  |          0  (empty)
          8  |   .0614385   .1140892     0.54   0.591    -.1630238    .2859008
          9  |  -.0448734   .1400498    -0.32   0.749    -.3204113    .2306646
         10  |          0  (omitted)
         11  |   .0878425   .1322827     0.66   0.507    -.1724142    .3480993
         12  |   .0129374   .0348643     0.37   0.711    -.0556556    .0815303
             |
  year_group |
          5  |          0  (empty)
          6  |          0  (empty)
          7  |   -.129017   .1328714    -0.97   0.332     -.390432    .1323981
          8  |  -.2631462   .0721578    -3.65   0.000    -.4051114   -.1211809
          9  |  -.1976716   .0131711   -15.01   0.000    -.2235848   -.1717585
         10  |  -.1473667   .0632656    -2.33   0.020    -.2718371   -.0228962
         11  |  -.0820898   .0895657    -0.92   0.360    -.2583038    .0941243
         12  |   -.034115   .0753767    -0.45   0.651    -.1824133    .1141834
         13  |  -.1500796   .0812547    -1.85   0.066    -.3099423    .0097832
             |
       _cons |   .3470964    .103481     3.35   0.001     .1435049    .5506878
------------------------------------------------------------------------------
(662 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,328         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,328    .2271992    .4297142          0   3.419419
(662 missing values generated)
(662 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,328
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(15, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8437
                                                    Adj R-squared     = 0.7912
                                                    Root MSE          = 0.1961

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0438741   .0444086     0.99   0.324    -.0434966    .1312449
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1717624       .076    -2.26   0.024    -.3212868   -.0222379
          4  |  -.0048301   .0450016    -0.11   0.915    -.0933676    .0837074
          5  |  -.0371448   .0466953    -0.80   0.427    -.1290144    .0547249
          6  |  -.0238722   .0598026    -0.40   0.690    -.1415295    .0937851
          7  |          0  (empty)
          8  |   .0394926   .0436209     0.91   0.366    -.0463284    .1253136
          9  |    .004515   .0509441     0.09   0.929     -.095714    .1047439
         10  |          0  (omitted)
         11  |   .0028769   .0594729     0.05   0.961    -.1141317    .1198856
         12  |  -.0074477   .0184152    -0.40   0.686    -.0436783    .0287828
             |
  year_group |
          5  |          0  (empty)
          6  |          0  (empty)
          7  |  -.5087036   .0441427   -11.52   0.000    -.5955511   -.4218561
          8  |  -.4335622   .0362905   -11.95   0.000    -.5049611   -.3621634
          9  |  -.4059933          .        .       .            .           .
         10  |  -.3188043    .028338   -11.25   0.000    -.3745573   -.2630512
         11  |  -.2991367   .0417577    -7.16   0.000     -.381292   -.2169814
         12  |  -.3324649    .033205   -10.01   0.000    -.3977935   -.2671364
         13  |  -.2584743   .0634531    -4.07   0.000    -.3833138   -.1336348
             |
       _cons |   .5848039    .045771    12.78   0.000     .4947527    .6748552
------------------------------------------------------------------------------
(662 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,328         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,328    .2300561    .4092356          0   2.902158
(662 missing values generated)
(662 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,328
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(16, 319)        =   7.03
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7821
                                                    Adj R-squared     = 0.7089
                                                    Root MSE          = 0.2096

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0644681     .04819     1.34   0.182    -.0303422    .1592785
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0507873   .0538798     0.94   0.347    -.0552175     .156792
          4  |  -.0883969   .0497564    -1.78   0.077     -.186289    .0094953
          5  |  -.1190671   .0584663    -2.04   0.043    -.2340954   -.0040389
          6  |  -.2057995    .064148    -3.21   0.001    -.3320061   -.0795929
          7  |          0  (empty)
          8  |   -.156588   .0488775    -3.20   0.001    -.2527511    -.060425
          9  |  -.0767281   .0778376    -0.99   0.325    -.2298681    .0764118
         10  |          0  (omitted)
         11  |  -.1125228   .0574116    -1.96   0.051    -.2254761    .0004305
         12  |   .0111812   .0350034     0.32   0.750    -.0576856    .0800479
             |
  year_group |
          5  |          0  (empty)
          6  |          0  (empty)
          7  |  -.0183275   .1000334    -0.18   0.855    -.2151361    .1784811
          8  |   .0289238   .1010192     0.29   0.775    -.1698242    .2276719
          9  |  -.0648993   .0782316    -0.83   0.407    -.2188143    .0890157
         10  |  -.0552713   .0881092    -0.63   0.531    -.2286198    .1180772
         11  |  -.0554475   .0897849    -0.62   0.537    -.2320929    .1211979
         12  |  -.0299906   .0939164    -0.32   0.750    -.2147643    .1547832
         13  |  -.0061444    .091841    -0.07   0.947     -.186835    .1745462
             |
       _cons |   .3392939   .0973546     3.49   0.001     .1477556    .5308322
------------------------------------------------------------------------------
(662 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,328         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,328    .2595335    .3888549          0   2.680823
(662 missing values generated)
(662 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,328
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(16, 319)        =   2.99
                                                    Prob > F          = 0.0001
                                                    R-squared         = 0.7100
                                                    Adj R-squared     = 0.6124
                                                    Root MSE          = 0.1583

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0136543   .0252267    -0.54   0.589    -.0632861    .0359775
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0069124   .1377271    -0.05   0.960    -.2778806    .2640558
          4  |   .0872762   .0333941     2.61   0.009     .0215757    .1529766
          5  |   .1009772   .0358652     2.82   0.005     .0304149    .1715396
          6  |    .082854   .0392747     2.11   0.036     .0055838    .1601243
          7  |          0  (empty)
          8  |  -.0833086   .0535689    -1.56   0.121    -.1887015    .0220843
          9  |   .0005686   .0570533     0.01   0.992    -.1116797     .112817
         10  |          0  (omitted)
         11  |   .0871953   .0383011     2.28   0.023     .0118405      .16255
         12  |  -.0308526   .0358485    -0.86   0.390     -.101382    .0396769
             |
  year_group |
          5  |          0  (empty)
          6  |          0  (empty)
          7  |   .0908466   .0557133     1.63   0.104    -.0187653    .2004585
          8  |   .1296441   .0440946     2.94   0.004      .042891    .2163971
          9  |   .1168072   .0373697     3.13   0.002     .0432851    .1903294
         10  |   .1138191   .0417767     2.72   0.007     .0316265    .1960118
         11  |   .1583651   .0447141     3.54   0.000     .0703933    .2463369
         12  |   .1108737   .0436127     2.54   0.011     .0250689    .1966786
         13  |   .1051393   .0457629     2.30   0.022      .015104    .1951746
             |
       _cons |  -.0525486   .0485782    -1.08   0.280    -.1481228    .0430255
------------------------------------------------------------------------------
(662 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,328         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,328    .1139625    .2550982          0   2.887769
(662 missing values generated)
(662 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,328
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(16, 319)        =   6.52
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7710
                                                    Adj R-squared     = 0.6940
                                                    Root MSE          = 0.2622

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .067671   .0506674     1.34   0.183    -.0320136    .1673556
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2587594   .1804723     1.43   0.153    -.0963068    .6138257
          4  |    .057883   .0826328     0.70   0.484    -.1046911     .220457
          5  |   .1285835   .0851449     1.51   0.132     -.038933    .2960999
          6  |  -.0222726   .0944879    -0.24   0.814    -.2081707    .1636255
          7  |          0  (empty)
          8  |   .1096388   .0696525     1.57   0.116    -.0273975    .2466751
          9  |   .2010998   .1246847     1.61   0.108    -.0442085    .4464081
         10  |          0  (omitted)
         11  |  -.0158501   .0836579    -0.19   0.850    -.1804411    .1487409
         12  |   -.003038   .0507645    -0.06   0.952    -.1029135    .0968375
             |
  year_group |
          5  |          0  (empty)
          6  |          0  (empty)
          7  |   .0812627   .1870436     0.43   0.664    -.2867322    .4492577
          8  |   .1302942   .1523405     0.86   0.393    -.1694249    .4300133
          9  |    .114559   .1240719     0.92   0.357    -.1295437    .3586616
         10  |   .0811157   .1364993     0.59   0.553     -.187437    .3496683
         11  |  -.0346662   .1395657    -0.25   0.804    -.3092516    .2399193
         12  |  -.0221514   .1392588    -0.16   0.874    -.2961331    .2518302
         13  |  -.0039146   .1401405    -0.03   0.978    -.2796309    .2718018
             |
       _cons |   .1547571   .1448375     1.07   0.286    -.1302003    .4397146
------------------------------------------------------------------------------
(662 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,328         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,328    .2581348    .4608889          0   2.771094
(662 missing values generated)
(662 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,328
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(16, 319)        =   2.04
                                                    Prob > F          = 0.0109
                                                    R-squared         = 0.9710
                                                    Adj R-squared     = 0.9612
                                                    Root MSE          = 0.1037

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .007412   .0232858     0.32   0.750    -.0384011    .0532252
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0298016   .0197914     1.51   0.133    -.0091366    .0687398
          4  |   .0399729   .0296363     1.35   0.178    -.0183344    .0982802
          5  |   .0239483   .0324611     0.74   0.461    -.0399167    .0878132
          6  |   .0826035   .0532061     1.55   0.122    -.0220757    .1872827
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0236241   .0369111     0.64   0.523    -.0489959    .0962442
         10  |   .0114281   .0324668     0.35   0.725    -.0524481    .0753043
         11  |   .0298178   .0251698     1.18   0.237     -.019702    .0793375
         12  |  -.0050519   .0115142    -0.44   0.661    -.0277053    .0176015
             |
  year_group |
          5  |          0  (empty)
          6  |          0  (empty)
          7  |  -.1127553   .0361238    -3.12   0.002    -.1838264   -.0416843
          8  |  -.1051447   .0326165    -3.22   0.001    -.1693154    -.040974
          9  |  -.0949931   .0228466    -4.16   0.000    -.1399422   -.0500441
         10  |  -.1192295   .0330136    -3.61   0.000    -.1841815   -.0542776
         11  |  -.0907073   .0401556    -2.26   0.025    -.1697105   -.0117041
         12  |  -.0953831    .039823    -2.40   0.017    -.1737321   -.0170341
         13  |  -.0861581   .0400275    -2.15   0.032    -.1649093   -.0074069
             |
       _cons |     .41194   .0391804    10.51   0.000     .3348554    .4890246
------------------------------------------------------------------------------
(662 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,328         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,328    .3007128    .4923129          0   2.690357
(662 missing values generated)
(662 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,328
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(16, 319)        =  48.90
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9481
                                                    Adj R-squared     = 0.9307
                                                    Root MSE          = 0.1365

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0065843   .0287882    -0.23   0.819     -.063223    .0500543
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1571618   .1411662     1.11   0.266    -.1205727    .4348963
          4  |   .0070096   .0205973     0.34   0.734    -.0335141    .0475334
          5  |   .0025029   .0240097     0.10   0.917    -.0447344    .0497402
          6  |   .0121017   .0249277     0.49   0.628    -.0369417    .0611451
          7  |          0  (empty)
          8  |  -.0036925   .0291402    -0.13   0.899    -.0610238    .0536388
          9  |   .0422471   .0307039     1.38   0.170    -.0181606    .1026548
         10  |          0  (omitted)
         11  |   .0268848   .0337692     0.80   0.427    -.0395537    .0933234
         12  |   .0728334   .0341581     2.13   0.034     .0056298    .1400369
             |
  year_group |
          5  |          0  (empty)
          6  |          0  (empty)
          7  |  -.7172948   .0514709   -13.94   0.000    -.8185602   -.6160295
          8  |  -.7136234   .0337275   -21.16   0.000    -.7799798    -.647267
          9  |  -.6941194   .0252362   -27.50   0.000    -.7437698    -.644469
         10  |  -.6811276   .0331065   -20.57   0.000    -.7462623   -.6159928
         11  |  -.6388933   .0377594   -16.92   0.000    -.7131821   -.5646044
         12  |  -.6713799   .0370812   -18.11   0.000    -.7443344   -.5984254
         13  |  -.6318318   .0398007   -15.87   0.000    -.7101369   -.5535267
             |
       _cons |   .9757245   .0363932    26.81   0.000     .9041235    1.047326
------------------------------------------------------------------------------
(662 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,328         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,328    .3017823    .4949618          0   2.747545
(662 missing values generated)
(662 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,328
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(16, 319)        =   1.91
                                                    Prob > F          = 0.0189
                                                    R-squared         = 0.8175
                                                    Adj R-squared     = 0.7561
                                                    Root MSE          = 0.2436

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0710193   .0564497     1.26   0.209    -.0400415    .1820801
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0125051   .1321578     0.09   0.925    -.2475059    .2725161
          4  |    .147085   .0849878     1.73   0.084    -.0201224    .3142924
          5  |   .1253346   .0849314     1.48   0.141    -.0417617     .292431
          6  |    .203819   .0932262     2.19   0.030     .0204031    .3872349
          7  |          0  (empty)
          8  |   .0797001   .0701907     1.14   0.257    -.0583951    .2177953
          9  |   .2892885    .107319     2.70   0.007      .078146    .5004309
         10  |          0  (omitted)
         11  |   .2027247   .0892062     2.27   0.024      .027218    .3782314
         12  |   .1063683   .0432614     2.46   0.014     .0212547    .1914819
             |
  year_group |
          5  |          0  (empty)
          6  |          0  (empty)
          7  |  -.0922325   .1269703    -0.73   0.468    -.3420375    .1575725
          8  |  -.1140162   .0871165    -1.31   0.192    -.2854117    .0573794
          9  |  -.1223788   .0680279    -1.80   0.073    -.2562188    .0114612
         10  |  -.0584653   .0796026    -0.73   0.463    -.2150778    .0981472
         11  |  -.0724443   .0811066    -0.89   0.372    -.2320157    .0871272
         12  |  -.0393093   .0839098    -0.47   0.640    -.2043959    .1257773
         13  |   .0173903   .0879978     0.20   0.843    -.1557391    .1905197
             |
       _cons |   .2289526   .1006598     2.27   0.024     .0309117    .4269934
------------------------------------------------------------------------------
(662 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,328         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,328    .3191706    .4805268          0   2.526736

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(19, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7867
                                                    Adj R-squared     = 0.7115
                                                    Root MSE          = 0.2121

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0654628   .0616041     1.06   0.289    -.0557345    .1866601
             |
 scale_group |
          2  |  -.0503567   .0809717    -0.62   0.534    -.2096572    .1089437
          3  |          0  (omitted)
          4  |   .1725156   .0492371     3.50   0.001     .0756486    .2693827
          5  |   .0891833    .051546     1.73   0.085    -.0122262    .1905928
          6  |   .0918639    .065513     1.40   0.162    -.0370237    .2207514
          7  |    .221932   .0650669     3.41   0.001     .0939221     .349942
          8  |    .228648   .0650669     3.51   0.001      .100638    .3566579
          9  |   .0775739   .0607902     1.28   0.203    -.0420222      .19717
         10  |   .1836012   .0648814     2.83   0.005     .0559562    .3112463
         11  |   .2296962   .0562423     4.08   0.000     .1190474    .3403449
         12  |    .013798   .0703182     0.20   0.845    -.1245432    .1521392
             |
  year_group |
          5  |   .0470097   .0059914     7.85   0.000     .0352225    .0587969
          6  |  -.0545511    .102213    -0.53   0.594    -.2556406    .1465385
          7  |   .2501433   .1144779     2.19   0.030     .0249243    .4753624
          8  |   .1946618   .1001284     1.94   0.053    -.0023267    .3916502
          9  |   .2934902    .107157     2.74   0.007     .0826739    .5043065
         10  |     .31927   .0998566     3.20   0.002     .1228163    .5157237
         11  |   .3951084   .1101929     3.59   0.000     .1783194    .6118974
         12  |   .3408018   .1021445     3.34   0.001     .1398469    .5417566
         13  |   .3595629   .1029697     3.49   0.001     .1569846    .5621411
             |
       _cons |  -.2400046   .1125547    -2.13   0.034      -.46144   -.0185692
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,324    .2030462    .3855541          0    2.91044
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8403
                                                    Adj R-squared     = 0.7840
                                                    Root MSE          = 0.2057

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0400434   .0560956    -0.71   0.476    -.1504035    .0703167
             |
 scale_group |
          2  |   .0218532   .0479368     0.46   0.649    -.0724557    .1161621
          3  |          0  (omitted)
          4  |   .0652068   .0344995     1.89   0.060    -.0026661    .1330797
          5  |   .0212302   .0311064     0.68   0.495    -.0399672    .0824277
          6  |    .011142   .0527049     0.21   0.833    -.0925475    .1148315
          7  |   .0318121   .0537199     0.59   0.554    -.0738743    .1374984
          8  |   .0318121   .0537199     0.59   0.554    -.0738743    .1374984
          9  |   .0057069   .0333117     0.17   0.864    -.0598292     .071243
         10  |   .0584788   .0456326     1.28   0.201    -.0312969    .1482545
         11  |   .0117237   .0452172     0.26   0.796    -.0772348    .1006822
         12  |   .0567089   .0362492     1.56   0.119    -.0146063    .1280241
             |
  year_group |
          5  |  -.3862476          .        .       .            .           .
          6  |  -.2008742   .1301841    -1.54   0.124    -.4569931    .0552446
          7  |  -.2990395    .098367    -3.04   0.003    -.4925626   -.1055165
          8  |   -.229296   .0968567    -2.37   0.019    -.4198478   -.0387441
          9  |  -.2345766   .0970296    -2.42   0.016    -.4254687   -.0436846
         10  |  -.1492011   .0945001    -1.58   0.115    -.3351167    .0367146
         11  |  -.1041134    .103315    -1.01   0.314     -.307371    .0991442
         12  |  -.1718004   .0987501    -1.74   0.083    -.3660773    .0224764
         13  |  -.0765924   .1111559    -0.69   0.491     -.295276    .1420911
             |
       _cons |   .3954654    .101285     3.90   0.000     .1962015    .5947293
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,324    .2395902    .4369114          0   3.155859
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(19, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7761
                                                    Adj R-squared     = 0.6971
                                                    Root MSE          = 0.2061

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0006236   .0385232    -0.02   0.987    -.0764127    .0751654
             |
 scale_group |
          2  |  -.1293555   .0967235    -1.34   0.182    -.3196453    .0609342
          3  |          0  (omitted)
          4  |   .0864073    .089309     0.97   0.334    -.0892955    .2621101
          5  |   .0367775   .0913273     0.40   0.687    -.1428961     .216451
          6  |  -.0192088   .1024917    -0.19   0.851    -.2208467     .182429
          7  |   .0077028    .099487     0.08   0.938    -.1880238    .2034295
          8  |   .0077028    .099487     0.08   0.938    -.1880238    .2034295
          9  |   .0722203   .1011888     0.71   0.476    -.1268544     .271295
         10  |   .1778668    .099514     1.79   0.075    -.0179129    .3736465
         11  |   .0921575   .0906346     1.02   0.310    -.0861532    .2704683
         12  |   -.090052   .0914734    -0.98   0.326     -.270013     .089909
             |
  year_group |
          5  |   .2632216   .0597131     4.41   0.000     .1457445    .3806988
          6  |  -.1880116   .0874595    -2.15   0.032    -.3600757   -.0159474
          7  |  -.0996787   .0856044    -1.16   0.245    -.2680932    .0687359
          8  |  -.1252197   .0761957    -1.64   0.101     -.275124    .0246847
          9  |  -.1831882   .0785439    -2.33   0.020    -.3377123   -.0286641
         10  |  -.1519375    .076965    -1.97   0.049    -.3033551   -.0005198
         11  |  -.1856458   .0780116    -2.38   0.018    -.3391225    -.032169
         12  |  -.1715468   .0777289    -2.21   0.028    -.3244675   -.0186261
         13  |  -.1705664   .0771632    -2.21   0.028     -.322374   -.0187588
             |
       _cons |   .3819881   .1043938     3.66   0.000     .1766081    .5873681
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,324    .2452301    .3832915          0   2.460922
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(19, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6208
                                                    Adj R-squared     = 0.4870
                                                    Root MSE          = 0.2064

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0084283   .0270855     0.31   0.756    -.0448585    .0617151
             |
 scale_group |
          2  |   .2555222   .0565332     4.52   0.000      .144301    .3667433
          3  |          0  (omitted)
          4  |   .1237287   .0369144     3.35   0.001     .0511048    .1963525
          5  |   .0922784    .043253     2.13   0.034     .0071843    .1773725
          6  |    .115209   .0430342     2.68   0.008     .0305453    .1998728
          7  |   .0568405   .0551265     1.03   0.303    -.0516132    .1652941
          8  |   .0568405   .0551265     1.03   0.303    -.0516132    .1652941
          9  |   -.002626   .0468013    -0.06   0.955     -.094701    .0894489
         10  |   .0322196   .0432557     0.74   0.457    -.0528799    .1173191
         11  |   .1012024   .0396205     2.55   0.011     .0232547      .17915
         12  |   .1854876   .0542872     3.42   0.001     .0786851      .29229
             |
  year_group |
          5  |   .3827929   .0332111    11.53   0.000     .3174548     .448131
          6  |   .6429721   .2760833     2.33   0.020     .0998172    1.186127
          7  |   .2503674   .2113451     1.18   0.237    -.1654242    .6661591
          8  |   .1299542    .199372     0.65   0.515     -.262282    .5221904
          9  |   .1259134   .2060623     0.61   0.542    -.2794851    .5313119
         10  |   .1072915   .2055823     0.52   0.602    -.2971626    .5117455
         11  |   .1621774   .2070705     0.78   0.434    -.2452045    .5695593
         12  |   .1380636   .2066033     0.67   0.504    -.2683991    .5445264
         13  |   .1229638   .2084478     0.59   0.556    -.2871278    .5330555
             |
       _cons |  -.1366506   .2053224    -0.67   0.506    -.5405933    .2672922
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,324    .1398545    .3000983          0   2.565051
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8030
                                                    Adj R-squared     = 0.7335
                                                    Root MSE          = 0.2497

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0880902   .0539528     1.63   0.104    -.0180543    .1942347
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0523615   .0756919     0.69   0.490    -.0965517    .2012746
          4  |  -.0465014   .0492495    -0.94   0.346    -.1433928      .05039
          5  |   .0155086   .0501446     0.31   0.757    -.0831439     .114161
          6  |  -.1317076   .0779741    -1.69   0.092    -.2851107    .0216955
          7  |  -.0893118   .0794412    -1.12   0.262     -.245601    .0669775
          8  |  -.0590524   .0794412    -0.74   0.458    -.2153416    .0972369
          9  |  -.0085779   .0926301    -0.09   0.926    -.1908144    .1736587
         10  |  -.1608513    .073268    -2.20   0.029    -.3049957   -.0167069
         11  |  -.1118321   .0624976    -1.79   0.074    -.2347874    .0111231
         12  |  -.0033081   .0515488    -0.06   0.949     -.104723    .0981068
             |
  year_group |
          5  |   -.022411          .        .       .            .           .
          6  |   .3424062   .2133844     1.60   0.110    -.0773975    .7622099
          7  |   .0270964   .1534915     0.18   0.860    -.2748764    .3290692
          8  |   .1481726     .13397     1.11   0.270    -.1153945    .4117397
          9  |   .0890025   .1380782     0.64   0.520    -.1826468    .3606518
         10  |   .0842377   .1336442     0.63   0.529    -.1786884    .3471639
         11  |  -.0955377   .1380095    -0.69   0.489    -.3670518    .1759764
         12  |  -.0875128   .1373133    -0.64   0.524    -.3576572    .1826316
         13  |  -.0296655   .1379959    -0.21   0.830     -.301153     .241822
             |
       _cons |   .2549531   .1381444     1.85   0.066    -.0168265    .5267327
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,324    .2758729    .4871059          0    3.35816
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(19, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9731
                                                    Adj R-squared     = 0.9636
                                                    Root MSE          = 0.0973

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0096857   .0234359     0.41   0.680    -.0364212    .0557926
             |
 scale_group |
          2  |   .0180837   .0228121     0.79   0.429    -.0267958    .0629632
          3  |          0  (omitted)
          4  |    .035645   .0192652     1.85   0.065    -.0022565    .0735466
          5  |   .0099195   .0159878     0.62   0.535    -.0215342    .0413731
          6  |   .0880296   .0658646     1.34   0.182    -.0415497     .217609
          7  |  -.0228614   .0331683    -0.69   0.491    -.0881153    .0423924
          8  |  -.0170914   .0331683    -0.52   0.607    -.0823452    .0481625
          9  |   .0299428   .0269687     1.11   0.268    -.0231143        .083
         10  |  -.0808011   .0608099    -1.33   0.185     -.200436    .0388338
         11  |   .0515032   .0297113     1.73   0.084    -.0069497    .1099561
         12  |    .002235   .0166447     0.13   0.893    -.0305112    .0349812
             |
  year_group |
          5  |  -.1670795   .0011642  -143.52   0.000    -.1693698   -.1647891
          6  |   .0981879   .0676103     1.45   0.147    -.0348258    .2312016
          7  |  -.0365658   .0469753    -0.78   0.437     -.128983    .0558514
          8  |  -.0403813   .0422183    -0.96   0.340    -.1234398    .0426773
          9  |  -.0362879   .0462439    -0.78   0.433    -.1272663    .0546904
         10  |  -.0672434   .0426777    -1.58   0.116    -.1512058     .016719
         11  |  -.0362324   .0463358    -0.78   0.435    -.1273915    .0549267
         12  |  -.0406272   .0453153    -0.90   0.371    -.1297787    .0485243
         13  |  -.0617849   .0446942    -1.38   0.168    -.1497144    .0261446
             |
       _cons |   .3402925   .0458757     7.42   0.000     .2500385    .4305464
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,324    .2999523    .4924615          0   2.947993
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(19, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9567
                                                    Adj R-squared     = 0.9415
                                                    Root MSE          = 0.1233

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0305813   .0258251    -1.18   0.237    -.0813885     .020226
             |
 scale_group |
          2  |  -.0460241   .0844002    -0.55   0.586    -.2120695    .1200213
          3  |          0  (omitted)
          4  |   .0259863   .0190519     1.36   0.174    -.0114955    .0634681
          5  |   .0107041   .0209537     0.51   0.610    -.0305194    .0519276
          6  |   .0257364   .0279605     0.92   0.358    -.0292719    .0807447
          7  |   .0223986   .0332895     0.67   0.502    -.0430938    .0878909
          8  |   .0223986   .0332895     0.67   0.502    -.0430938    .0878909
          9  |   .0116839   .0295156     0.40   0.692     -.046384    .0697518
         10  |   .0013484   .0266882     0.05   0.960    -.0511569    .0538537
         11  |    .021063   .0399902     0.53   0.599     -.057612    .0997381
         12  |  -.0154313   .0767036    -0.20   0.841    -.1663347    .1354721
             |
  year_group |
          5  |  -.3444858   1.94e-08 -1.8e+07   0.000    -.3444858   -.3444857
          6  |  -.7279868   .1038073    -7.01   0.000    -.9322129   -.5237606
          7  |   -.839732   .1110186    -7.56   0.000    -1.058145   -.6213187
          8  |  -.8452235   .1104915    -7.65   0.000      -1.0626   -.6278471
          9  |  -.8469756   .1082027    -7.83   0.000    -1.059849   -.6341021
         10  |  -.8536121   .1066353    -8.00   0.000    -1.063402   -.6438222
         11  |  -.8102959   .1078715    -7.51   0.000    -1.022518   -.5980741
         12  |  -.8267308   .1072413    -7.71   0.000    -1.037713   -.6157487
         13  |  -.8331667    .107852    -7.73   0.000     -1.04535   -.6209832
             |
       _cons |   1.156841   .1096072    10.55   0.000     .9412046    1.372478
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,324    .3050904    .5046327          0   3.042426
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(19, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9460
                                                    Adj R-squared     = 0.9270
                                                    Root MSE          = 0.1210

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0677703   .0234877     2.89   0.004     .0215616    .1139791
             |
 scale_group |
          2  |   .0402341   .0485101     0.83   0.407    -.0552027     .135671
          3  |          0  (omitted)
          4  |  -.0010852   .0223928    -0.05   0.961    -.0451399    .0429694
          5  |   .0135577   .0221099     0.61   0.540    -.0299405    .0570558
          6  |  -.0201479   .0446601    -0.45   0.652    -.1080104    .0677146
          7  |  -.0324151    .037974    -0.85   0.394    -.1071235    .0422934
          8  |  -.0351349    .037974    -0.93   0.356    -.1098434    .0395735
          9  |   .0055388   .0372739     0.15   0.882    -.0677924      .07887
         10  |  -.0879198    .045924    -1.91   0.056    -.1782688    .0024291
         11  |  -.0206073   .0297986    -0.69   0.490    -.0792319    .0380173
         12  |   .0274185   .0340793     0.80   0.422    -.0396278    .0944648
             |
  year_group |
          5  |   -.121923   .0010373  -117.54   0.000    -.1239638   -.1198823
          6  |   .1440189   .1028401     1.40   0.162    -.0583045    .3463422
          7  |  -.0348483   .0829326    -0.42   0.675    -.1980065    .1283099
          8  |  -.0042657   .0756001    -0.06   0.955    -.1529982    .1444668
          9  |  -.0192125   .0769834    -0.25   0.803    -.1706664    .1322414
         10  |  -.0394348   .0770771    -0.51   0.609     -.191073    .1122035
         11  |   -.072654   .0784143    -0.93   0.355    -.2269231    .0816151
         12  |  -.0876225   .0783731    -1.12   0.264    -.2418104    .0665655
         13  |  -.0644739   .0784532    -0.82   0.412    -.2188195    .0898718
             |
       _cons |   .2773727   .0785551     3.53   0.000     .1228266    .4319189
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,324    .2590151    .4390831          0   1.680581

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(824 missing values generated)
(824 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,166
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 317)        =   4.97
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7631
                                                    Adj R-squared     = 0.6714
                                                    Root MSE          = 0.2375

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0145276   .0585234     0.25   0.804    -.1006158     .129671
             |
 scale_group |
          2  |    .051491    .081156     0.63   0.526    -.1081814    .2111635
          3  |          0  (omitted)
          4  |   .1720424   .0377367     4.56   0.000     .0977964    .2462884
          5  |   .0603405   .0802099     0.75   0.452    -.0974706    .2181516
          6  |   .1298054    .066569     1.95   0.052    -.0011675    .2607782
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0773579   .0645436     1.20   0.232    -.0496301    .2043459
         10  |          0  (empty)
         11  |    .255398   .0575817     4.44   0.000     .1421075    .3686886
         12  |   .0443655   .0714605     0.62   0.535    -.0962313    .1849624
             |
  year_group |
          5  |   .0313201    .005841     5.36   0.000      .019828    .0428122
          6  |   .0005885   .1058198     0.01   0.996    -.2076093    .2087863
          7  |   .1290302   .1096132     1.18   0.240    -.0866311    .3446915
          8  |   .1339212   .0908346     1.47   0.141    -.0447937    .3126361
          9  |   .1702906   .0941471     1.81   0.071    -.0149416    .3555228
         10  |   .1874624   .0912891     2.05   0.041     .0078534    .3670714
         11  |   .2666863   .1062283     2.51   0.013     .0576846     .475688
         12  |   .2364511   .0983514     2.40   0.017     .0429471    .4299551
         13  |   .1975378   .1031261     1.92   0.056    -.0053604     .400436
             |
       _cons |  -.0977017   .1038467    -0.94   0.348    -.3020176    .1066142
------------------------------------------------------------------------------
(824 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,166         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,166    .2303501    .4200479          0   3.179765
(824 missing values generated)
(824 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,166
Absorbed variable: factor_pair                    No. of categories =      309
                                                  F(17, 317)        = 3.25e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8226
                                                  Adj R-squared     =   0.7539
                                                  Root MSE          =   0.2183

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0102785   .0585244    -0.18   0.861    -.1254237    .1048668
             |
 scale_group |
          2  |   .0233816   .0558021     0.42   0.675    -.0864077    .1331709
          3  |          0  (omitted)
          4  |    .140092   .0327389     4.28   0.000     .0756789     .204505
          5  |   .0988891   .0464245     2.13   0.034       .00755    .1902282
          6  |    .109248   .0444362     2.46   0.014     .0218208    .1966751
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0780511   .0381745     2.04   0.042     .0029438    .1531585
         10  |          0  (empty)
         11  |   .0631981    .043503     1.45   0.147     -.022393    .1487892
         12  |   .0836783    .049696     1.68   0.093    -.0140973    .1814539
             |
  year_group |
          5  |  -.3589979   4.83e-08 -7.4e+06   0.000     -.358998   -.3589978
          6  |  -.2591448   .1503605    -1.72   0.086    -.5549754    .0366858
          7  |  -.2165192   .1263258    -1.71   0.088    -.4650622    .0320239
          8  |  -.1791557   .1230736    -1.46   0.146       -.4213    .0629886
          9  |  -.1806519   .1224401    -1.48   0.141    -.4215498    .0602461
         10  |  -.1001963   .1206712    -0.83   0.407    -.3376141    .1372214
         11  |   .0086371   .1292868     0.07   0.947    -.2457315    .2630057
         12  |   -.104262   .1253595    -0.83   0.406    -.3509038    .1423798
         13  |   .0394798   .1382517     0.29   0.775     -.232527    .3114866
             |
       _cons |   .2474981   .1289962     1.92   0.056    -.0062989     .501295
------------------------------------------------------------------------------
(824 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,166         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,166     .245304    .4409482          0   2.973485
(824 missing values generated)
(824 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,166
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 317)        =   3.04
                                                    Prob > F          = 0.0001
                                                    R-squared         = 0.7602
                                                    Adj R-squared     = 0.6674
                                                    Root MSE          = 0.2168

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0082222   .0403399    -0.20   0.839      -.08759    .0711456
             |
 scale_group |
          2  |  -.0826114   .0774775    -1.07   0.287    -.2350466    .0698238
          3  |          0  (omitted)
          4  |   .0041566   .0419179     0.10   0.921    -.0783159    .0866292
          5  |  -.0518102   .0535493    -0.97   0.334    -.1571672    .0535468
          6  |  -.0337647   .0518127    -0.65   0.515    -.1357048    .0681754
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0558332   .0735866     0.76   0.449    -.0889467    .2006131
         10  |          0  (empty)
         11  |  -.0215176   .0512063    -0.42   0.675    -.1222648    .0792297
         12  |  -.0847767   .0629717    -1.35   0.179    -.2086719    .0391186
             |
  year_group |
          5  |   .2590769   .1249728     2.07   0.039      .013196    .5049578
          6  |   -.166649   .1726236    -0.97   0.335    -.5062818    .1729837
          7  |  -.2480182   .1626169    -1.53   0.128    -.5679629    .0719266
          8  |  -.2744308   .1569937    -1.75   0.081     -.583312    .0344504
          9  |  -.2950059   .1586096    -1.86   0.064    -.6070663    .0170546
         10  |  -.2493434    .156463    -1.59   0.112    -.5571805    .0584936
         11  |  -.2918675   .1581604    -1.85   0.066    -.6030442    .0193091
         12  |  -.2844108    .159207    -1.79   0.075    -.5976466    .0288251
         13  |  -.2940876   .1590033    -1.85   0.065    -.6069226    .0187475
             |
       _cons |   .5446488   .1614445     3.37   0.001     .2270108    .8622869
------------------------------------------------------------------------------
(824 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,166         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,166    .2552877     .395417          0   2.461541
(824 missing values generated)
(824 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,166
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 317)        =   1.83
                                                    Prob > F          = 0.0240
                                                    R-squared         = 0.6377
                                                    Adj R-squared     = 0.4975
                                                    Root MSE          = 0.1921

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0460188   .0391273    -1.18   0.240    -.1230008    .0309632
             |
 scale_group |
          2  |  -.1089431   .1935837    -0.56   0.574    -.4898143    .2719282
          3  |          0  (omitted)
          4  |   .0395196   .0218384     1.81   0.071    -.0034469    .0824861
          5  |   .0630471   .0290823     2.17   0.031     .0058285    .1202658
          6  |   .0730948   .0434093     1.68   0.093    -.0123119    .1585016
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0392518     .03792    -1.04   0.301    -.1138584    .0353548
         10  |          0  (empty)
         11  |   .0314781   .0363931     0.86   0.388    -.0401245    .1030806
         12  |  -.1019446   .1751504    -0.58   0.561    -.4465489    .2426596
             |
  year_group |
          5  |   .1068658   .1186955     0.90   0.369    -.1266647    .3403963
          6  |   .1685015   .2085662     0.81   0.420    -.2418475    .5788505
          7  |   .0733917   .1851122     0.40   0.692     -.290812    .4375955
          8  |   .0387801   .1805412     0.21   0.830    -.3164302    .3939905
          9  |  -.0094642   .1821686    -0.05   0.959    -.3678765    .3489481
         10  |  -.0286248   .1824277    -0.16   0.875    -.3875469    .3302972
         11  |  -.0240968   .1834134    -0.13   0.896    -.3849582    .3367645
         12  |  -.0309698   .1838388    -0.17   0.866    -.3926682    .3307285
         13  |  -.0285725   .1848673    -0.15   0.877    -.3922944    .3351495
             |
       _cons |    .153358   .1946042     0.79   0.431     -.229521     .536237
------------------------------------------------------------------------------
(824 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,166         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,166    .1274285    .2851018          0   2.597551
(824 missing values generated)
(824 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,166
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 317)        =   4.07
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7982
                                                    Adj R-squared     = 0.7201
                                                    Root MSE          = 0.2506

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0479729   .0470291     1.02   0.308    -.0445557    .1405015
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1692304   .0871643     1.94   0.053    -.0022633     .340724
          4  |  -.1013358    .029899    -3.39   0.001    -.1601613   -.0425103
          5  |  -.0085746   .0429413    -0.20   0.842    -.0930606    .0759114
          6  |  -.1369934   .0578197    -2.37   0.018    -.2507522   -.0232345
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0022032   .0857314     0.03   0.980    -.1664712    .1708776
         10  |          0  (empty)
         11  |  -.1216017   .0479635    -2.54   0.012    -.2159687   -.0272348
         12  |   .0300091    .051921     0.58   0.564    -.0721442    .1321624
             |
  year_group |
          5  |   .0303373   .1300673     0.23   0.816     -.225567    .2862415
          6  |   .4793827   .3035955     1.58   0.115     -.117934    1.076699
          7  |   .0601516    .259218     0.23   0.817    -.4498536    .5701568
          8  |   .0937589   .2380561     0.39   0.694    -.3746106    .5621285
          9  |   .1537059   .2421557     0.63   0.526    -.3227295    .6301413
         10  |   .1454523   .2402747     0.61   0.545    -.3272822    .6181868
         11  |  -.0248091    .243515    -0.10   0.919    -.5039189    .4543006
         12  |   .0014319   .2423436     0.01   0.995    -.4753733    .4782372
         13  |   .0255958   .2435107     0.11   0.916    -.4535056    .5046973
             |
       _cons |   .2240483   .2388309     0.94   0.349    -.2458456    .6939422
------------------------------------------------------------------------------
(824 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,166         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,166    .2722867      .47917          0   3.694895
(824 missing values generated)
(824 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,166
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 317)        =   2.33
                                                    Prob > F          = 0.0023
                                                    R-squared         = 0.9715
                                                    Adj R-squared     = 0.9604
                                                    Root MSE          = 0.1006

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .012088   .0254447     0.48   0.635    -.0379738    .0621497
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0152464   .0355967    -0.43   0.669    -.0852821    .0547893
          4  |   .0178288   .0210156     0.85   0.397    -.0235188    .0591764
          5  |  -.0196035   .0276794    -0.71   0.479    -.0740621    .0348551
          6  |   .0457365   .0443004     1.03   0.303    -.0414235    .1328966
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0223094   .0279327     0.80   0.425    -.0326475    .0772663
         10  |          0  (empty)
         11  |   .0309359   .0228868     1.35   0.177    -.0140934    .0759652
         12  |   .0122985   .0203859     0.60   0.547    -.0278103    .0524073
             |
  year_group |
          5  |  -.1411061   .0330891    -4.26   0.000    -.2062082   -.0760041
          6  |   .0098678    .078438     0.13   0.900    -.1444571    .1641928
          7  |   .0460232   .0720115     0.64   0.523    -.0956576     .187704
          8  |   .0401837   .0673048     0.60   0.551    -.0922369    .1726043
          9  |   .0355891   .0695268     0.51   0.609    -.1012032    .1723815
         10  |   .0194543   .0695411     0.28   0.780    -.1173662    .1562747
         11  |   .0314153   .0740898     0.42   0.672    -.1143546    .1771852
         12  |   .0299461   .0724193     0.41   0.680    -.1125372    .1724293
         13  |   .0402194   .0755397     0.53   0.595    -.1084031     .188842
             |
       _cons |   .2794244   .0746584     3.74   0.000     .1325359     .426313
------------------------------------------------------------------------------
(824 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,166         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,166    .3140905    .4993258          0   2.852946
(824 missing values generated)
(824 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,166
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 317)        =   3.27
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9443
                                                    Adj R-squared     = 0.9227
                                                    Root MSE          = 0.1331

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0328529   .0339838    -0.97   0.334    -.0997152    .0340094
             |
 scale_group |
          2  |  -.0205861   .1013016    -0.20   0.839    -.2198946    .1787223
          3  |          0  (omitted)
          4  |   .0466093   .0215307     2.16   0.031     .0042482    .0889704
          5  |    .046669   .0280986     1.66   0.098    -.0086144    .1019524
          6  |   .0264793   .0391474     0.68   0.499    -.0505422    .1035008
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0597479   .0410388     1.46   0.146    -.0209949    .1404906
         10  |          0  (empty)
         11  |   .0448151   .0327079     1.37   0.172    -.0195369     .109167
         12  |   -.013264   .0854284    -0.16   0.877    -.1813423    .1548144
             |
  year_group |
          5  |   -.224088   .0476969    -4.70   0.000    -.3179305   -.1302455
          6  |  -.4990418   .1282925    -3.89   0.000    -.7514542   -.2466294
          7  |  -.6358958   .1229722    -5.17   0.000    -.8778406   -.3939509
          8  |   -.625454   .1139826    -5.49   0.000     -.849712    -.401196
          9  |  -.5983994   .1108321    -5.40   0.000     -.816459   -.3803399
         10  |  -.5836123    .110613    -5.28   0.000    -.8012406    -.365984
         11  |  -.5496575   .1135764    -4.84   0.000    -.7731164   -.3261986
         12  |  -.5443658   .1135515    -4.79   0.000    -.7677756    -.320956
         13  |   -.546476   .1148234    -4.76   0.000    -.7723883   -.3205637
             |
       _cons |   .8590595   .1184183     7.25   0.000     .6260744    1.092045
------------------------------------------------------------------------------
(824 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,166         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,166    .2974901    .4801979          0   2.649157
(824 missing values generated)
(824 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,166
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 317)        =   1.24
                                                    Prob > F          = 0.2336
                                                    R-squared         = 0.9080
                                                    Adj R-squared     = 0.8724
                                                    Root MSE          = 0.1753

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0254072   .0376204     0.68   0.500      -.04861    .0994245
             |
 scale_group |
          2  |  -.1326019   .1172671    -1.13   0.259     -.363322    .0981182
          3  |          0  (omitted)
          4  |  -.0229314   .0293954    -0.78   0.436    -.0807661    .0349034
          5  |  -.0218337   .0329111    -0.66   0.508    -.0865854    .0429179
          6  |  -.0302931   .0652011    -0.46   0.643    -.1585748    .0979885
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0405072   .0431153     0.94   0.348    -.0443211    .1253356
         10  |          0  (empty)
         11  |  -.0229608   .0362843    -0.63   0.527    -.0943492    .0484276
         12  |  -.0468046   .1011535    -0.46   0.644    -.2458216    .1522124
             |
  year_group |
          5  |  -.0718443   .0712129    -1.01   0.314     -.211954    .0682655
          6  |   .1704677   .1104318     1.54   0.124    -.0468043    .3877396
          7  |   .0376358   .1031063     0.37   0.715    -.1652234    .2404949
          8  |   .0613785   .0941974     0.65   0.515    -.1239526    .2467096
          9  |   .0441036   .0959287     0.46   0.646    -.1446338    .2328409
         10  |   .0333056   .0961546     0.35   0.729    -.1558761    .2224874
         11  |   .0182608   .0994685     0.18   0.854    -.1774411    .2139626
         12  |    .014926   .0994118     0.15   0.881    -.1806642    .2105162
         13  |   .0253458   .1009981     0.25   0.802    -.1733655    .2240571
             |
       _cons |   .2973468   .1102782     2.70   0.007     .0803772    .5143164
------------------------------------------------------------------------------
(824 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,166         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,166    .2990975    .4828353          0   2.327794

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(18, 311)        =  63.69
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7920
                                                    Adj R-squared     = 0.7177
                                                    Root MSE          = 0.2310

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0050977   .0535679    -0.10   0.924    -.1104991    .1003037
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0720739   .0691726    -1.04   0.298    -.2081794    .0640315
          4  |   .3181258   .0717245     4.44   0.000     .1769991    .4592525
          5  |   .2949688   .0773944     3.81   0.000     .1426859    .4472517
          6  |   .3511907   .0843541     4.16   0.000     .1852139    .5171675
          7  |          0  (empty)
          8  |    .363977   .0848398     4.29   0.000     .1970444    .5309096
          9  |   .3214605   .0927246     3.47   0.001     .1390135    .5039074
         10  |          0  (empty)
         11  |    .398126   .0882081     4.51   0.000     .2245658    .5716861
         12  |    .014451   .0415215     0.35   0.728    -.0672476    .0961495
             |
  year_group |
          5  |   .0472262   .0014244    33.16   0.000     .0444235    .0500289
          6  |   .0963112   .1418045     0.68   0.498    -.1827064    .3753288
          7  |   .2290106   .1650878     1.39   0.166    -.0958198    .5538409
          8  |   .1363369   .1485406     0.92   0.359    -.1559346    .4286085
          9  |    .150588   .1416159     1.06   0.288    -.1280585    .4292344
         10  |   .2425328   .1418045     1.71   0.088    -.0364848    .5215505
         11  |   .2892515    .150085     1.93   0.055    -.0060589     .584562
         12  |    .279709    .145764     1.92   0.056    -.0070993    .5665173
         13  |   .2625417   .1500482     1.75   0.081    -.0326964    .5577798
             |
       _cons |  -.2187064   .1522638    -1.44   0.152    -.5183039     .080891
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,224    .2493707    .4379989          0   2.816428
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(17, 311)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8178
                                                    Adj R-squared     = 0.7527
                                                    Root MSE          = 0.2399

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0214597   .0641188     0.33   0.738    -.1047018    .1476211
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0373769   .0672622    -0.56   0.579    -.1697234    .0949696
          4  |   .1066816   .0301807     3.53   0.000     .0472974    .1660658
          5  |   .0962648   .0467475     2.06   0.040     .0042834    .1882462
          6  |   .0128775   .0756304     0.17   0.865    -.1359345    .1616895
          7  |          0  (empty)
          8  |   .1335503   .0579623     2.30   0.022     .0195025    .2475981
          9  |   .0873017   .0412945     2.11   0.035     .0060497    .1685536
         10  |          0  (empty)
         11  |   .0781648   .0647763     1.21   0.228    -.0492905    .2056201
         12  |   .0112087   .0489475     0.23   0.819    -.0851014    .1075189
             |
  year_group |
          5  |  -.4814581          .        .       .            .           .
          6  |  -.1749002   .1473607    -1.19   0.236    -.4648503    .1150499
          7  |  -.2110033   .1480033    -1.43   0.155    -.5022177    .0802112
          8  |  -.1307279   .1484218    -0.88   0.379    -.4227658      .16131
          9  |  -.1673875   .1478317    -1.13   0.258    -.4582643    .1234893
         10  |  -.0658288   .1473607    -0.45   0.655    -.3557789    .2241213
         11  |  -.0547835   .1540847    -0.36   0.722    -.3579637    .2483967
         12  |  -.0325836   .1531056    -0.21   0.832    -.3338375    .2686702
         13  |   .0941126    .173995     0.54   0.589    -.2482437    .4364688
             |
       _cons |   .2581782    .155392     1.66   0.098    -.0475744    .5639309
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,224    .2618363    .4643965          0   4.525237
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(18, 311)        =   4.65
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7948
                                                    Adj R-squared     = 0.7214
                                                    Root MSE          = 0.1897

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0259089   .0377124     0.69   0.493    -.0482949    .1001126
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0572837   .0585259    -0.98   0.328    -.1724405     .057873
          4  |   .0352702   .0168306     2.10   0.037      .002154    .0683864
          5  |   .0059027   .0286007     0.21   0.837    -.0503725     .062178
          6  |   .0137644   .0474085     0.29   0.772    -.0795175    .1070463
          7  |          0  (empty)
          8  |  -.0131937   .0429225    -0.31   0.759     -.097649    .0712615
          9  |  -.0063931   .0358384    -0.18   0.859    -.0769096    .0641233
         10  |          0  (empty)
         11  |   .0658891   .0464061     1.42   0.157    -.0254205    .1571987
         12  |  -.1023123   .0513374    -1.99   0.047     -.203325   -.0012997
             |
  year_group |
          5  |   .1032165    .057979     1.78   0.076    -.0108642    .2172971
          6  |  -.3825574   .1148843    -3.33   0.001    -.6086062   -.1565086
          7  |  -.3723319   .1151415    -3.23   0.001    -.5988867   -.1457771
          8  |  -.3419776   .1190559    -2.87   0.004    -.5762344   -.1077208
          9  |  -.4172667   .1165073    -3.58   0.000     -.646509   -.1880244
         10  |  -.4150687   .1148843    -3.61   0.000    -.6411175     -.18902
         11  |  -.3844234   .1168409    -3.29   0.001    -.6143221   -.1545247
         12  |  -.3314303   .1210239    -2.74   0.007    -.5695595   -.0933012
         13  |  -.3399588   .1193224    -2.85   0.005      -.57474   -.1051776
             |
       _cons |   .5908076   .1199482     4.93   0.000      .354795    .8268201
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,224    .2386215    .3717542          0   2.133132
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(18, 311)        =   1.45
                                                    Prob > F          = 0.1060
                                                    R-squared         = 0.5915
                                                    Adj R-squared     = 0.4455
                                                    Root MSE          = 0.1981

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0312261   .0358298    -0.87   0.384    -.1017257    .0392734
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1021182   .1491822     0.68   0.494    -.1914159    .3956523
          4  |   .0115376   .0221422     0.52   0.603    -.0320298    .0551051
          5  |   .0102062   .0300741     0.34   0.735    -.0489682    .0693805
          6  |  -.0155938   .0568062    -0.27   0.784    -.1273669    .0961792
          7  |          0  (empty)
          8  |  -.0854645    .045896    -1.86   0.064    -.1757704    .0048414
          9  |  -.0171391   .0325833    -0.53   0.599    -.0812507    .0469725
         10  |          0  (empty)
         11  |   .0075897   .0314464     0.24   0.809     -.054285    .0694643
         12  |  -.0906142    .059998    -1.51   0.132    -.2086675    .0274392
             |
  year_group |
          5  |    .040076   .1489438     0.27   0.788    -.2529889    .3331409
          6  |   .1911663    .299811     0.64   0.524    -.3987481    .7810808
          7  |   .0405012   .3022646     0.13   0.893     -.554241    .6352433
          8  |  -.0390004     .30036    -0.13   0.897    -.6299952    .5519944
          9  |  -.0318957   .2997316    -0.11   0.915    -.6216539    .5578625
         10  |  -.0633447    .299811    -0.21   0.833    -.6532592    .5265697
         11  |  -.0359367   .3002097    -0.12   0.905    -.6266357    .5547624
         12  |  -.0471542   .3000878    -0.16   0.875    -.6376134     .543305
         13  |  -.0671967    .300029    -0.22   0.823    -.6575401    .5231467
             |
       _cons |   .1956295   .2980254     0.66   0.512    -.3907716    .7820306
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,224    .1296456    .2754184          0   2.616869
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(18, 311)        =  15.75
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7645
                                                    Adj R-squared     = 0.6803
                                                    Root MSE          = 0.2743

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0396853   .0526535     0.75   0.452    -.0639168    .1432873
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1257461   .0942181     1.33   0.183    -.0596394    .3111315
          4  |   .0272115   .0303616     0.90   0.371    -.0325285    .0869516
          5  |   .0930796   .0433717     2.15   0.033     .0077405    .1784188
          6  |  -.0264216   .0911851    -0.29   0.772    -.2058393     .152996
          7  |          0  (empty)
          8  |   .0726505   .0610362     1.19   0.235    -.0474457    .1927468
          9  |  -.0609971   .0821125    -0.74   0.458    -.2225635    .1005692
         10  |          0  (empty)
         11  |   -.079478   .0546887    -1.45   0.147    -.1870846    .0281286
         12  |   .0570403   .0661322     0.86   0.389    -.0730828    .1871633
             |
  year_group |
          5  |    .122382   .1080138     1.13   0.258    -.0901482    .3349122
          6  |   .5158718   .2834601     1.82   0.070    -.0418704    1.073614
          7  |   .0176281   .3026569     0.06   0.954     -.577886    .6131421
          8  |   .1615898   .2900015     0.56   0.578    -.4090232    .7322029
          9  |   .1553224   .2864117     0.54   0.588    -.4082273    .7188721
         10  |   .1126271   .2834601     0.40   0.691    -.4451151    .6703693
         11  |   .0150923   .2866031     0.05   0.958    -.5488339    .5790186
         12  |   .0286617   .2869702     0.10   0.921     -.535987    .5933103
         13  |   .0356465   .2863974     0.12   0.901    -.5278751    .5991681
             |
       _cons |   .1576925   .2830448     0.56   0.578    -.3992324    .7146175
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,224    .2795121    .4769077          0    3.57606
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(18, 311)        =   2.76
                                                    Prob > F          = 0.0002
                                                    R-squared         = 0.9773
                                                    Adj R-squared     = 0.9692
                                                    Root MSE          = 0.0886

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0177093   .0169526    -1.04   0.297    -.0510655    .0156469
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0103326   .0179398     0.58   0.565    -.0249662    .0456313
          4  |  -.0037243   .0187814    -0.20   0.843     -.040679    .0332304
          5  |  -.0038242   .0192514    -0.20   0.843    -.0417038    .0340553
          6  |  -.0216286   .0250302    -0.86   0.388    -.0708785    .0276213
          7  |          0  (empty)
          8  |  -.0264913   .0214084    -1.24   0.217    -.0686149    .0156323
          9  |   .0162152   .0220259     0.74   0.462    -.0271234    .0595538
         10  |          0  (empty)
         11  |   .0156226    .023966     0.65   0.515    -.0315334    .0627786
         12  |   .0104216   .0175804     0.59   0.554      -.02417    .0450132
             |
  year_group |
          5  |  -.1163447   .0335158    -3.47   0.001    -.1822911   -.0503983
          6  |   .0704162   .0757359     0.93   0.353    -.0786033    .2194357
          7  |  -.0044687   .0770453    -0.06   0.954    -.1560647    .1471273
          8  |    .023828   .0760661     0.31   0.754    -.1258413    .1734973
          9  |   .0317644   .0764056     0.42   0.678    -.1185729    .1821017
         10  |   .0084573   .0757359     0.11   0.911    -.1405622    .1574767
         11  |   .0055042   .0779479     0.07   0.944    -.1478677    .1588761
         12  |   .0223952   .0784212     0.29   0.775     -.131908    .1766983
         13  |   .0209443   .0792316     0.26   0.792    -.1349535    .1768422
             |
       _cons |   .3280634   .0778264     4.22   0.000     .1749305    .4811963
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,224    .3150153    .4911768          0   2.780897
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(18, 311)        =   6.56
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9475
                                                    Adj R-squared     = 0.9288
                                                    Root MSE          = 0.1349

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0081873   .0333495    -0.25   0.806    -.0738065    .0574318
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1299015   .0846247     1.54   0.126    -.0366079    .2964109
          4  |   .0802193   .0348843     2.30   0.022     .0115802    .1488584
          5  |   .0733038   .0373057     1.96   0.050    -.0000996    .1467073
          6  |   .0896992   .0461005     1.95   0.053    -.0010091    .1804076
          7  |          0  (empty)
          8  |   .0813677   .0452967     1.80   0.073     -.007759    .1704944
          9  |   .1238921   .0414936     2.99   0.003     .0422484    .2055359
         10  |          0  (empty)
         11  |   .1239588   .0466833     2.66   0.008     .0321038    .2158138
         12  |   .0302359   .0803338     0.38   0.707    -.1278307    .1883025
             |
  year_group |
          5  |  -.2622092   .0575622    -4.56   0.000    -.3754698   -.1489486
          6  |  -.7285648   .0889663    -8.19   0.000    -.9036167   -.5535129
          7  |  -.7960834   .0968084    -8.22   0.000    -.9865656   -.6056012
          8  |  -.7824991   .0885396    -8.84   0.000    -.9567116   -.6082866
          9  |   -.788033   .0904955    -8.71   0.000    -.9660939   -.6099721
         10  |  -.7546416   .0889663    -8.48   0.000    -.9296935   -.5795897
         11  |  -.7138295   .0917144    -7.78   0.000    -.8942886   -.5333703
         12  |  -.7216508   .0928783    -7.77   0.000    -.9044002   -.5389015
         13  |  -.7407119   .0930746    -7.96   0.000    -.9238475   -.5575763
             |
       _cons |    .999565   .0971409    10.29   0.000     .8084285    1.190701
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,224    .3036355    .4905623          0   2.495878
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(18, 311)        =   2.53
                                                    Prob > F          = 0.0007
                                                    R-squared         = 0.7762
                                                    Adj R-squared     = 0.6962
                                                    Root MSE          = 0.2894

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0118189   .0544691    -0.22   0.828    -.1189935    .0953557
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2285876    .131436     1.74   0.083    -.0300285    .4872038
          4  |   .0453178   .0647825     0.70   0.485    -.0821496    .1727852
          5  |     .06364   .0695772     0.91   0.361    -.0732616    .2005415
          6  |   .0532283   .0969819     0.55   0.584    -.1375954     .244052
          7  |          0  (empty)
          8  |  -.0230379   .0842051    -0.27   0.785    -.1887217    .1426459
          9  |   .0742429   .0939751     0.79   0.430    -.1106644    .2591503
         10  |          0  (empty)
         11  |  -.0459426   .0847536    -0.54   0.588    -.2127055    .1208204
         12  |   .0485322   .0500311     0.97   0.333    -.0499101    .1469745
             |
  year_group |
          5  |  -.1705664   .0370701    -4.60   0.000    -.2435064   -.0976265
          6  |  -.0983184   .1925591    -0.51   0.610    -.4772018     .280565
          7  |  -.0621866   .2100752    -0.30   0.767    -.4755351    .3511618
          8  |   .0042123   .1992447     0.02   0.983    -.3878258    .3962504
          9  |  -.0030568   .1932349    -0.02   0.987    -.3832699    .3771563
         10  |   .0105811   .1925591     0.05   0.956    -.3683023    .3894645
         11  |  -.0382861   .1950122    -0.20   0.844    -.4219961     .345424
         12  |   .0321004   .1972803     0.16   0.871    -.3560725    .4202733
         13  |   .1118798   .1956445     0.57   0.568    -.2730745     .496834
             |
       _cons |   .3124392   .2000982     1.56   0.119    -.0812782    .7061565
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,224    .3526082    .5240702          0   2.544153

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,248
Absorbed variable: factor_pair                    No. of categories =      311
                                                  F(18, 314)        = 8.60e+09
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8078
                                                  Adj R-squared     =   0.7392
                                                  Root MSE          =   0.2313

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0059202   .0657043     0.09   0.928    -.1233562    .1351965
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.3313871   .2621223    -1.26   0.207    -.8471253    .1843511
          4  |  -.0981565   .0666682    -1.47   0.142    -.2293293    .0330163
          5  |  -.2208338   .0703098    -3.14   0.002    -.3591717   -.0824959
          6  |  -.1771485   .0846207    -2.09   0.037    -.3436437   -.0106532
          7  |  -.0072477   1.84e-08 -3.9e+05   0.000    -.0072478   -.0072477
          8  |          0  (omitted)
          9  |  -.2432128   .0889886    -2.73   0.007    -.4183021   -.0681235
         10  |   .0988199   .0985982     1.00   0.317    -.0951768    .2928166
         11  |  -.1306824   .0757792    -1.72   0.086    -.2797816    .0184169
         12  |   .0635768   .0331471     1.92   0.056    -.0016417    .1287954
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1735503   .1038939    -1.67   0.096    -.3779665    .0308658
          7  |   -.073917    .116926    -0.63   0.528    -.3039745    .1561404
          8  |  -.0928386   .0850666    -1.09   0.276    -.2602112    .0745339
          9  |  -.0630371   .0606415    -1.04   0.299     -.182352    .0562779
         10  |  -.0388357   .0808358    -0.48   0.631     -.197884    .1202126
         11  |    -.03218   .0914786    -0.35   0.725    -.2121685    .1478084
         12  |  -.0077707   .0883349    -0.09   0.930    -.1815738    .1660323
         13  |  -.0009846   .0877127    -0.01   0.991    -.1735635    .1715942
             |
       _cons |   .3843697   .0852459     4.51   0.000     .2166444    .5520951
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,248    .2424316    .4528837          0    3.39112
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8321
                                                    Adj R-squared     = 0.7721
                                                    Root MSE          = 0.2480

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0188708   .0725587    -0.26   0.795    -.1616335    .1238919
             |
 scale_group |
          1  |          0  (empty)
          2  |   .2660437   .1001399     2.66   0.008     .0690136    .4630738
          3  |          0  (omitted)
          4  |  -.0288683   .0421592    -0.68   0.494    -.1118184    .0540819
          5  |  -.0560033   .0373528    -1.50   0.135    -.1294966    .0174901
          6  |  -.1038617   .0569466    -1.82   0.069    -.2159069    .0081835
          7  |          0  (omitted)
          8  |  -2.98e-08          .        .       .            .           .
          9  |  -.0295537   .0489719    -0.60   0.547    -.1259082    .0668008
         10  |   .0374711   .0595538     0.63   0.530    -.0797039    .1546461
         11  |  -.0335159   .0536676    -0.62   0.533    -.1391094    .0720776
         12  |   .3021864   .0968402     3.12   0.002     .1116486    .4927242
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3438013   .2184053    -1.57   0.116    -.7735241    .0859216
          7  |   -.447318   .1898132    -2.36   0.019    -.8207845   -.0738514
          8  |   -.312674   .1861706    -1.68   0.094    -.6789735    .0536255
          9  |  -.3305848   .1839176    -1.80   0.073    -.6924514    .0312819
         10  |  -.2097426   .1868155    -1.12   0.262     -.577311    .1578257
         11  |  -.1246097   .1946766    -0.64   0.523    -.5076453    .2584258
         12  |  -.2453816   .1905354    -1.29   0.199     -.620269    .1295058
         13  |  -.2040451   .2007522    -1.02   0.310    -.5990347    .1909445
             |
       _cons |   .4939305   .1892934     2.61   0.010     .1214867    .8663744
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,248    .2775382    .5168509          0    3.66905
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 314)        =   3.76
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7463
                                                    Adj R-squared     = 0.6557
                                                    Root MSE          = 0.2290

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .000253   .0473409     0.01   0.996    -.0928924    .0933984
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .0439953   .1127749     0.39   0.697    -.1778947    .2658852
          4  |   .1080539   .0346114     3.12   0.002     .0399543    .1761535
          5  |   .0695326    .031812     2.19   0.030      .006941    .1321242
          6  |   .0278626   .0581831     0.48   0.632    -.0866155    .1423407
          7  |   1.49e-08   1.26e-08     1.18   0.239    -9.94e-09    3.97e-08
          8  |          0  (omitted)
          9  |   .1151598   .0443705     2.60   0.010     .0278587    .2024609
         10  |   .0774705   .0494712     1.57   0.118    -.0198663    .1748074
         11  |   .1061026    .037203     2.85   0.005     .0329038    .1793013
         12  |   .0729172   .0565064     1.29   0.198    -.0382618    .1840963
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2135356   .2115888    -1.01   0.314    -.6298466    .2027754
          7  |   -.218357   .1998387    -1.09   0.275    -.6115492    .1748352
          8  |  -.2221858   .1968549    -1.13   0.260    -.6095073    .1651356
          9  |   -.235626    .189575    -1.24   0.215    -.6086239    .1373719
         10  |  -.2390474   .1925999    -1.24   0.215    -.6179969     .139902
         11  |  -.2653759   .1937436    -1.37   0.172    -.6465756    .1158238
         12  |  -.1798817   .1963289    -0.92   0.360    -.5661682    .2064048
         13  |  -.2039682   .1949179    -1.05   0.296    -.5874785    .1795422
             |
       _cons |   .3833123   .1916466     2.00   0.046     .0062384    .7603862
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,248    .2768315    .4376964          0   2.956165
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5562
                                                    Adj R-squared     = 0.3979
                                                    Root MSE          = 0.2205

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0044323   .0289226    -0.15   0.878     -.061339    .0524744
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0429354   .0744905     0.58   0.565    -.1036282    .1894991
          3  |          0  (omitted)
          4  |   .1493214   .0545908     2.74   0.007     .0419114    .2567314
          5  |   .1518396   .0513411     2.96   0.003     .0508236    .2528556
          6  |     .16765   .0595151     2.82   0.005     .0505512    .2847488
          7  |          0  (omitted)
          8  |   9.84e-15          .        .       .            .           .
          9  |   .0322907   .0589683     0.55   0.584    -.0837322    .1483136
         10  |   .0547982   .0542319     1.01   0.313    -.0519056     .161502
         11  |   .1493001   .0554297     2.69   0.007     .0402396    .2583605
         12  |   .0122605   .0746485     0.16   0.870    -.1346139    .1591349
             |
  year_group |
          5  |          0  (empty)
          6  |   .3506767   .0691988     5.07   0.000     .2145247    .4868286
          7  |    .333609   .1383848     2.41   0.016     .0613303    .6058876
          8  |   .1700387   .0699812     2.43   0.016     .0323474    .3077299
          9  |   .1762849   .0608228     2.90   0.004     .0566132    .2959567
         10  |   .1746309   .0643042     2.72   0.007     .0481094    .3011524
         11  |   .2123332   .0654099     3.25   0.001     .0836362    .3410302
         12  |    .173161   .0657118     2.64   0.009     .0438699     .302452
         13  |   .1348707   .0659311     2.05   0.042     .0051482    .2645933
             |
       _cons |  -.1594783   .0745684    -2.14   0.033    -.3061952   -.0127615
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,248    .1424124    .3051546          0   2.506215
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,248
Absorbed variable: factor_pair                    No. of categories =      311
                                                  F(18, 314)        = 5.76e+08
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7971
                                                  Adj R-squared     =   0.7247
                                                  Root MSE          =   0.2606

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0433947   .0566202     0.77   0.444    -.0680082    .1547976
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.2220783   .0638411    -3.48   0.001    -.3476887   -.0964679
          3  |          0  (omitted)
          4  |  -.0181615   .0548843    -0.33   0.741     -.126149    .0898259
          5  |   .0341804    .060966     0.56   0.575    -.0857731    .1541339
          6  |  -.1264685   .0848918    -1.49   0.137    -.2934972    .0405602
          7  |  -.0048928   4.81e-08 -1.0e+05   0.000    -.0048929   -.0048927
          8  |          0  (omitted)
          9  |   .0171882   .0923101     0.19   0.852    -.1644363    .1988127
         10  |  -.0597931   .0661637    -0.90   0.367    -.1899732     .070387
         11  |  -.0905548   .0565184    -1.60   0.110    -.2017574    .0206479
         12  |  -.1911538   .0503573    -3.80   0.000    -.2902343   -.0920733
             |
  year_group |
          5  |          0  (empty)
          6  |   .2173363    .287044     0.76   0.450    -.3474365    .7821091
          7  |  -.0242655   .2628936    -0.09   0.927    -.5415212    .4929901
          8  |  -.0636679   .2478418    -0.26   0.797    -.5513084    .4239727
          9  |  -.0232556   .2404929    -0.10   0.923    -.4964369    .4499257
         10  |  -.1010596   .2450048    -0.41   0.680    -.5831182    .3809989
         11  |  -.2264504    .245866    -0.92   0.358    -.7102034    .2573026
         12  |  -.2320982   .2454477    -0.95   0.345    -.7150281    .2508318
         13  |  -.1990675   .2454412    -0.81   0.418    -.6819847    .2838498
             |
       _cons |   .4584736   .2426634     1.89   0.060    -.0189781    .9359254
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,248    .2761861    .4904976          0    2.78772
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,248
Absorbed variable: factor_pair                    No. of categories =      311
                                                  F(18, 314)        = 5.67e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9792
                                                  Adj R-squared     =   0.9718
                                                  Root MSE          =   0.0921

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0261778   .0254409     1.03   0.304    -.0238784    .0762341
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0195216   .0241646    -0.81   0.420    -.0670667    .0280235
          3  |          0  (omitted)
          4  |   .0266691   .0157474     1.69   0.091    -.0043147    .0576528
          5  |   .0146162   .0181198     0.81   0.420    -.0210354    .0502678
          6  |   .0824358   .0567204     1.45   0.147    -.0291643    .1940359
          7  |          0  (omitted)
          8  |   .0118337   1.17e-08  1.0e+06   0.000     .0118337    .0118337
          9  |   .0156818   .0251066     0.62   0.533    -.0337166    .0650802
         10  |   .0262334   .0208505     1.26   0.209     -.014791    .0672577
         11  |   .0307093   .0185508     1.66   0.099    -.0057903    .0672089
         12  |  -.0018818   .0224043    -0.08   0.933    -.0459635    .0421998
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0404428   .0937006    -0.43   0.666    -.2248033    .1439177
          7  |  -.0264188   .0820496    -0.32   0.748    -.1878554    .1350178
          8  |   -.032503   .0801676    -0.41   0.685    -.1902366    .1252306
          9  |   -.040932   .0791357    -0.52   0.605    -.1966353    .1147713
         10  |  -.0683244   .0805478    -0.85   0.397     -.226806    .0901573
         11  |  -.0672802   .0835072    -0.81   0.421    -.2315845    .0970241
         12  |  -.0615136   .0820218    -0.75   0.454    -.2228955    .0998682
         13  |  -.0502831    .083643    -0.60   0.548    -.2148548    .1142885
             |
       _cons |   .3726849   .0794143     4.69   0.000     .2164335    .5289362
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,248    .3327049    .5379965          0   3.191555
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9563
                                                    Adj R-squared     = 0.9408
                                                    Root MSE          = 0.1329

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0677614   .0346251    -1.96   0.051     -.135888    .0003653
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.4290334   .1362414    -3.15   0.002    -.6970948   -.1609721
          3  |          0  (omitted)
          4  |   .0260674   .0218533     1.19   0.234    -.0169301    .0690649
          5  |   .0079492   .0222817     0.36   0.722    -.0358911    .0517895
          6  |  -.0005931   .0305851    -0.02   0.985    -.0607706    .0595845
          7  |          0  (omitted)
          8  |  -2.98e-08          .        .       .            .           .
          9  |   .0149758     .03807     0.39   0.694    -.0599286    .0898802
         10  |   .0009468   .0295017     0.03   0.974    -.0570992    .0589928
         11  |   .0454796   .0339058     1.34   0.181    -.0212317    .1121909
         12  |  -.3581431   .1227363    -2.92   0.004    -.5996326   -.1166536
             |
  year_group |
          5  |          0  (empty)
          6  |  -.6377403    .111867    -5.70   0.000    -.8578441   -.4176366
          7  |   -.767718   .1068628    -7.18   0.000    -.9779757   -.5574603
          8  |  -.7467161    .095275    -7.84   0.000    -.9341743   -.5592579
          9  |  -.7672688    .090493    -8.48   0.000    -.9453182   -.5892194
         10  |  -.7581634   .0929983    -8.15   0.000    -.9411419   -.5751849
         11  |  -.7528899   .0930543    -8.09   0.000    -.9359787    -.569801
         12  |  -.7415583   .0931033    -7.96   0.000    -.9247435    -.558373
         13  |  -.7335653   .0940933    -7.80   0.000    -.9186984   -.5484322
             |
       _cons |   1.186609   .0963649    12.31   0.000     .9970061    1.376211
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,248     .322902    .5387078          0   3.308752
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,248
Absorbed variable: factor_pair                    No. of categories =      311
                                                  F(18, 314)        = 2.56e+08
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8406
                                                  Adj R-squared     =   0.7837
                                                  Root MSE          =   0.2411

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .056346   .0454095     1.24   0.216    -.0329993    .1456912
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.1102932   .0717259    -1.54   0.125    -.2514172    .0308309
          4  |    -.02106   .0528311    -0.40   0.690    -.1250078    .0828877
          5  |  -.0047017   .0500009    -0.09   0.925    -.1030809    .0936775
          6  |   .0976592   .0869453     1.12   0.262    -.0734099    .2687283
          7  |          0  (omitted)
          8  |   .0007943   1.17e-08  6.8e+04   0.000     .0007942    .0007943
          9  |   .0064027   .0581543     0.11   0.912    -.1080186    .1208241
         10  |  -.1790677   .0754009    -2.37   0.018    -.3274225   -.0307129
         11  |   .0384973   .0521961     0.74   0.461     -.064201    .1411956
         12  |    .084055   .0507062     1.66   0.098    -.0157119    .1838219
             |
  year_group |
          5  |          0  (empty)
          6  |   .0245085   .0878722     0.28   0.780    -.1483841    .1974012
          7  |   .0609784   .1366798     0.45   0.656    -.2079457    .3299025
          8  |  -.1360354   .0903201    -1.51   0.133    -.3137445    .0416737
          9  |  -.1554221   .0736009    -2.11   0.036    -.3002353   -.0106088
         10  |  -.1612276   .0801844    -2.01   0.045    -.3189943   -.0034609
         11  |  -.1202894   .0831114    -1.45   0.149     -.283815    .0432363
         12  |   -.113525   .0818637    -1.39   0.166    -.2745956    .0475457
         13  |  -.0760275   .0831433    -0.91   0.361    -.2396159     .087561
             |
       _cons |    .428897   .0842544     5.09   0.000     .2631225    .5946715
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,248    .3435367    .5185374          0   2.954213

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(784 missing values generated)
(784 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,206
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7541
                                                    Adj R-squared     = 0.6652
                                                    Root MSE          = 0.2480

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0240652   .0560489     0.43   0.668     -.086207    .1343373
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1261793   .1076452     1.17   0.242    -.0856049    .3379636
          3  |          0  (omitted)
          4  |  -.0897894   .1291764    -0.70   0.488    -.3439348     .164356
          5  |  -.1471595   .1277076    -1.15   0.250    -.3984151    .1040961
          6  |  -.1650187   .1505312    -1.10   0.274    -.4611781    .1311406
          7  |          0  (empty)
          8  |  -.0289736   .0973894    -0.30   0.766    -.2205803    .1626331
          9  |  -.1180685   .1363062    -0.87   0.387    -.3862412    .1501042
         10  |          0  (omitted)
         11  |  -.0623093   .1318897    -0.47   0.637    -.3217929    .1971744
         12  |   .1329981   .1059431     1.26   0.210    -.0754373    .3414335
             |
  year_group |
          5  |   .0126553   .0043064     2.94   0.004     .0041828    .0211278
          6  |  -.4363649   .1557336    -2.80   0.005    -.7427596   -.1299701
          7  |   .2146183   .0900889     2.38   0.018     .0373748    .3918618
          8  |   .0888317   .0458791     1.94   0.054    -.0014322    .1790956
          9  |   .1406657   .0532292     2.64   0.009     .0359411    .2453903
         10  |    .177598   .0043064    41.24   0.000     .1691256    .1860705
         11  |   .2377851   .0484422     4.91   0.000     .1424786    .3330916
         12  |   .2211001   .0411417     5.37   0.000     .1401567    .3020435
         13  |   .1713695   .0501333     3.42   0.001     .0727359    .2700032
             |
       _cons |   .0976142   .1029196     0.95   0.344    -.1048728    .3001012
------------------------------------------------------------------------------
(784 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,206         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,206      .23648    .4274954          0   3.250699
(784 missing values generated)
(784 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,206
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8409
                                                    Adj R-squared     = 0.7834
                                                    Root MSE          = 0.2368

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0149829   .0584029     0.26   0.798    -.0999206    .1298863
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1196004   .0640265     1.87   0.063    -.0063672    .2455679
          3  |          0  (omitted)
          4  |  -.0343964   .0493527    -0.70   0.486    -.1314943    .0627015
          5  |  -.0589218   .0511305    -1.15   0.250    -.1595173    .0416738
          6  |  -.0676823    .092259    -0.73   0.464    -.2491953    .1138308
          7  |          0  (empty)
          8  |  -.0130486   .0475485    -0.27   0.784    -.1065968    .0804996
          9  |  -.0393459   .0539286    -0.73   0.466    -.1454465    .0667547
         10  |          0  (omitted)
         11  |  -.0424422   .0575142    -0.74   0.461    -.1555973     .070713
         12  |   .1375938   .0667127     2.06   0.040     .0063412    .2688463
             |
  year_group |
          5  |  -.4626337   2.47e-08 -1.9e+07   0.000    -.4626337   -.4626336
          6  |  -.5017273   .0833029    -6.02   0.000    -.6656197   -.3378348
          7  |  -.4281155   .0463058    -9.25   0.000    -.5192189   -.3370121
          8  |  -.3367985   .0315765   -10.67   0.000    -.3989229    -.274674
          9  |  -.3192084   .0287013   -11.12   0.000    -.3756761   -.2627406
         10  |  -.2313168          .        .       .            .           .
         11  |  -.1909007   .0432866    -4.41   0.000    -.2760639   -.1057375
         12  |  -.2200822   .0380282    -5.79   0.000       -.2949   -.1452644
         13  |  -.1173698   .0907251    -1.29   0.197    -.2958649    .0611253
             |
       _cons |    .538552   .0474941    11.34   0.000     .4451109    .6319932
------------------------------------------------------------------------------
(784 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,206         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,206    .2899188    .5035376          0   3.588502
(784 missing values generated)
(784 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,206
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7365
                                                    Adj R-squared     = 0.6412
                                                    Root MSE          = 0.2435

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0372971   .0509705     0.73   0.465    -.0629837    .1375779
             |
 scale_group |
          1  |          0  (empty)
          2  |   -.048584   .0907907    -0.54   0.593    -.2272082    .1300402
          3  |          0  (omitted)
          4  |    .027585   .0413843     0.67   0.506    -.0538357    .1090056
          5  |   -.023406   .0442682    -0.53   0.597    -.1105006    .0636886
          6  |  -.0169656   .0704607    -0.24   0.810     -.155592    .1216608
          7  |          0  (empty)
          8  |  -.0597313   .0402056    -1.49   0.138    -.1388329    .0193702
          9  |   .0633225   .0620996     1.02   0.309    -.0588541    .1854991
         10  |          0  (omitted)
         11  |   .0603459   .0492791     1.22   0.222    -.0366073     .157299
         12  |   -.028846   .0806259    -0.36   0.721    -.1874718    .1297797
             |
  year_group |
          5  |   .1933887   .0924298     2.09   0.037     .0115397    .3752377
          6  |   .0202925   .1153965     0.18   0.861    -.2067418    .2473269
          7  |  -.1275613    .112177    -1.14   0.256    -.3482615    .0931389
          8  |  -.0915601   .1015723    -0.90   0.368    -.2913963     .108276
          9  |  -.1499766   .0997844    -1.50   0.134    -.3462953    .0463422
         10  |  -.1215585   .0924298    -1.32   0.189    -.3034075    .0602904
         11  |  -.1582746   .0966384    -1.64   0.102    -.3484038    .0318547
         12  |  -.0677899   .0995498    -0.68   0.496    -.2636471    .1280673
         13  |  -.0963735   .0991928    -0.97   0.332    -.2915282    .0987811
             |
       _cons |   .3612679   .1040086     3.47   0.001     .1566384    .5658973
------------------------------------------------------------------------------
(784 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,206         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,206    .2845496    .4275349          0   2.345561
(784 missing values generated)
(784 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,206
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6047
                                                    Adj R-squared     = 0.4617
                                                    Root MSE          = 0.1824

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0553589   .0399144    -1.39   0.166    -.1338876    .0231698
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.3009575   .2124262    -1.42   0.158    -.7188909    .1169759
          3  |          0  (omitted)
          4  |   .0566519   .0343922     1.65   0.100    -.0110122     .124316
          5  |   .0479793   .0404276     1.19   0.236     -.031559    .1275177
          6  |   .0227053   .0443848     0.51   0.609    -.0646186    .1100293
          7  |          0  (empty)
          8  |  -.0642471   .0432845    -1.48   0.139    -.1494062     .020912
          9  |  -.0314992   .0514644    -0.61   0.541    -.1327517    .0697534
         10  |          0  (omitted)
         11  |   .0858948   .0381283     2.25   0.025     .0108801    .1609096
         12  |  -.2946979   .1868404    -1.58   0.116     -.662293    .0728973
             |
  year_group |
          5  |   .1286115   .1509169     0.85   0.395    -.1683066    .4255297
          6  |  -.0151072   .2344956    -0.06   0.949    -.4764605    .4462461
          7  |  -.1146851   .1607135    -0.71   0.476    -.4308774    .2015073
          8  |  -.1734831   .1574518    -1.10   0.271    -.4832582    .1362919
          9  |  -.2085254   .1527811    -1.36   0.173    -.5091113    .0920604
         10  |  -.2468252   .1509169    -1.64   0.103    -.5437433    .0500929
         11  |  -.2130501   .1520809    -1.40   0.162    -.5122583    .0861581
         12  |   -.230747   .1531078    -1.51   0.133    -.5319756    .0704817
         13  |  -.2671363   .1543579    -1.73   0.084    -.5708243    .0365517
             |
       _cons |   .3874126   .1670695     2.32   0.021     .0587153      .71611
------------------------------------------------------------------------------
(784 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,206         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,206    .1044934    .2397178          0   2.695475
(784 missing values generated)
(784 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,206
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7724
                                                    Adj R-squared     = 0.6901
                                                    Root MSE          = 0.2885

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0383525   .0501386     0.76   0.445    -.0602917    .1369966
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0490063   .1056395    -0.46   0.643    -.2568444    .1588319
          3  |          0  (omitted)
          4  |    .067709   .0590823     1.15   0.253    -.0485312    .1839493
          5  |   .1427707   .0660536     2.16   0.031      .012815    .2727265
          6  |  -.0172015   .0628649    -0.27   0.785    -.1408837    .1064807
          7  |          0  (empty)
          8  |   .0980007    .058397     1.68   0.094    -.0168913    .2128926
          9  |   .0768886   .1017577     0.76   0.450    -.1233124    .2770897
         10  |          0  (omitted)
         11  |   .0051105   .0571258     0.09   0.929    -.1072803    .1175014
         12  |   .0365884   .0901014     0.41   0.685    -.1406796    .2138564
             |
  year_group |
          5  |   .0886308   .0916495     0.97   0.334     -.091683    .2689446
          6  |    1.15062   .4665661     2.47   0.014     .2326843    2.068555
          7  |   .2570667     .14959     1.72   0.087     -.037241    .5513743
          8  |   .2734971   .1241377     2.20   0.028     .0292652    .5177291
          9  |   .2722306    .103641     2.63   0.009     .0683245    .4761368
         10  |   .2923585   .0916495     3.19   0.002     .1120447    .4726723
         11  |   .1386844   .0993387     1.40   0.164    -.0567574    .3341262
         12  |   .1639984   .0999518     1.64   0.102    -.0326497    .3606465
         13  |   .2288768    .099872     2.29   0.023     .0323858    .4253678
             |
       _cons |  -.0081503   .1076119    -0.08   0.940    -.2198689    .2035684
------------------------------------------------------------------------------
(784 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,206         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,206    .2832932    .4949841          0   4.075506
(784 missing values generated)
(784 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,206
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9674
                                                    Adj R-squared     = 0.9556
                                                    Root MSE          = 0.1093

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0045424   .0201037     0.23   0.821    -.0350102     .044095
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0245949   .0239291     1.03   0.305    -.0224838    .0716736
          3  |          0  (omitted)
          4  |   .0225408   .0274654     0.82   0.412    -.0314953    .0765769
          5  |  -.0037678   .0270574    -0.14   0.889    -.0570013    .0494656
          6  |   .0970722   .0842305     1.15   0.250    -.0686453    .2627897
          7  |          0  (empty)
          8  |   .0104782   .0299247     0.35   0.726    -.0483965     .069353
          9  |    .004308   .0284254     0.15   0.880     -.051617     .060233
         10  |          0  (omitted)
         11  |   .0081177   .0289326     0.28   0.779    -.0488051    .0650405
         12  |   .0119276   .0205441     0.58   0.562    -.0284914    .0523467
             |
  year_group |
          5  |   -.096814   .0237312    -4.08   0.000    -.1435036   -.0501245
          6  |  -.0311117   .0404578    -0.77   0.442    -.1107094    .0484861
          7  |  -.0627907   .0295303    -2.13   0.034    -.1208895   -.0046919
          8  |  -.0466216   .0289089    -1.61   0.108    -.1034978    .0102547
          9  |  -.0561414   .0307343    -1.83   0.069    -.1166089    .0043262
         10  |  -.0847105   .0237312    -3.57   0.000    -.1314001    -.038021
         11  |  -.0636749   .0332782    -1.91   0.057    -.1291474    .0017976
         12  |  -.0589232   .0322811    -1.83   0.069     -.122434    .0045876
         13  |  -.0484313   .0377866    -1.28   0.201    -.1227737    .0259111
             |
       _cons |   .3853207   .0359428    10.72   0.000     .3146058    .4560357
------------------------------------------------------------------------------
(784 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,206         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,206    .3173476    .5004687          0   2.886895
(784 missing values generated)
(784 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,206
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9589
                                                    Adj R-squared     = 0.9441
                                                    Root MSE          = 0.1209

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0260464   .0298106    -0.87   0.383    -.0846965    .0326038
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0278874   .1538137     0.18   0.856      -.27473    .3305049
          3  |          0  (omitted)
          4  |   .0257918   .0201832     1.28   0.202    -.0139171    .0655008
          5  |   .0481601   .0235382     2.05   0.042     .0018503    .0944699
          6  |    .038807   .0294823     1.32   0.189    -.0191973    .0968114
          7  |          0  (empty)
          8  |   .0184877     .02493     0.74   0.459    -.0305604    .0675358
          9  |   .0591779   .0355937     1.66   0.097    -.0108501    .1292059
         10  |          0  (omitted)
         11  |   .0550131   .0276591     1.99   0.048     .0005958    .1094303
         12  |   .0941583    .138692     0.68   0.498    -.1787084     .367025
             |
  year_group |
          5  |  -.1731664    .023966    -7.23   0.000    -.2203178   -.1260149
          6  |  -.5722424   .0618412    -9.25   0.000    -.6939106   -.4505742
          7  |  -.5068762   .0347857   -14.57   0.000    -.5753146   -.4384379
          8  |  -.5301549   .0357715   -14.82   0.000    -.6005328   -.4597771
          9  |  -.5001047   .0316492   -15.80   0.000    -.5623722   -.4378373
         10  |  -.4843132    .023966   -20.21   0.000    -.5314647   -.4371617
         11  |   -.480277   .0297482   -16.14   0.000    -.5388045   -.4217495
         12  |  -.4554339   .0331856   -13.72   0.000    -.5207243   -.3901436
         13  |  -.4673156   .0345873   -13.51   0.000    -.5353637   -.3992675
             |
       _cons |   .7844785   .0544558    14.41   0.000     .6773407    .8916164
------------------------------------------------------------------------------
(784 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,206         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,206    .3166264    .4995241          0   2.697251
(784 missing values generated)
(784 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,206
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7662
                                                    Adj R-squared     = 0.6817
                                                    Root MSE          = 0.3000

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0371074   .0659877     0.56   0.574    -.0927188    .1669335
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.2844651   .1408196    -2.02   0.044    -.5615175   -.0074126
          3  |          0  (omitted)
          4  |   .1244825   .1113228     1.12   0.264    -.0945372    .3435022
          5  |   .1299326   .1134123     1.15   0.253     -.093198    .3530632
          6  |   .2291897   .1203277     1.90   0.058    -.0075464    .4659258
          7  |          0  (empty)
          8  |   .1298452   .0888034     1.46   0.145    -.0448692    .3045595
          9  |   .2171217   .1281932     1.69   0.091    -.0350892    .4693326
         10  |          0  (omitted)
         11  |   .2026744   .1109429     1.83   0.069    -.0155979    .4209466
         12  |  -.1601744   .1330581    -1.20   0.230    -.4219567     .101608
             |
  year_group |
          5  |  -.3126461   .0486469    -6.43   0.000    -.4083554   -.2169367
          6  |   -.355412   .1736884    -2.05   0.042    -.6971316   -.0136924
          7  |  -.3356237    .110157    -3.05   0.003    -.5523496   -.1188977
          8  |   -.415688   .0876009    -4.75   0.000    -.5880365   -.2433395
          9  |  -.4853659   .0667227    -7.27   0.000     -.616638   -.3540938
         10  |  -.4676466   .0486469    -9.61   0.000    -.5633559   -.3719372
         11  |  -.4682862   .0644404    -7.27   0.000     -.595068   -.3415043
         12  |  -.4656598   .0698155    -6.67   0.000    -.6030169   -.3283027
         13  |  -.4121079   .0784059    -5.26   0.000    -.5663658   -.2578499
             |
       _cons |   .7288638   .1060724     6.87   0.000     .5201739    .9375536
------------------------------------------------------------------------------
(784 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,206         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,206    .3459854    .5218767          0   2.499551

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(16, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7433
                                                    Adj R-squared     = 0.6532
                                                    Root MSE          = 0.2485

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0324466   .0706181    -0.46   0.646    -.1713745    .1064813
             |
 scale_group |
          2  |   .3209332   .1888578     1.70   0.090    -.0506091    .6924756
          3  |          0  (omitted)
          4  |   .0311571   .0819371     0.38   0.704    -.1300388    .1923531
          5  |  -.0497808    .092436    -0.54   0.591    -.2316312    .1320697
          6  |          0  (omitted)
          7  |   .0698455   .1017388     0.69   0.493    -.1303066    .2699976
          8  |          0  (empty)
          9  |  -.0323601   .1003361    -0.32   0.747    -.2297526    .1650324
         10  |          0  (empty)
         11  |   .0806884   .0808713     1.00   0.319    -.0784107    .2397875
         12  |   .3544476   .1885557     1.88   0.061    -.0165006    .7253957
             |
  year_group |
          5  |   .1473092          .        .       .            .           .
          6  |  -.2049834   .1642999    -1.25   0.213    -.5282128    .1182459
          7  |  -.0238576   .1423305    -0.17   0.867    -.3038662     .256151
          8  |  -.0801604    .133165    -0.60   0.548    -.3421377    .1818168
          9  |   -.038731   .1284096    -0.30   0.763    -.2913528    .2138909
         10  |  -.0033902   .1350376    -0.03   0.980    -.2690513    .2622709
         11  |   .0769023   .1450372     0.53   0.596    -.2084313    .3622359
         12  |   .0733325   .1396458     0.53   0.600    -.2013945    .3480594
         13  |   .0607503   .1453137     0.42   0.676    -.2251272    .3466279
             |
       _cons |   .1481544   .1464044     1.01   0.312    -.1398689    .4361776
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,210    .2294982    .4162685          0   3.143824
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,210
Absorbed variable: factor_pair                    No. of categories =      298
                                                  F(17, 324)        = 1.04e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8438
                                                  Adj R-squared     =   0.7890
                                                  Root MSE          =   0.2153

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0561983   .0615319    -0.91   0.362    -.1772509    .0648542
             |
 scale_group |
          2  |    .225397     .11398     1.98   0.049     .0011627    .4496313
          3  |          0  (omitted)
          4  |   .0518259   .0441886     1.17   0.242     -.035107    .1387587
          5  |    .006805   .0499945     0.14   0.892    -.0915498    .1051598
          6  |          0  (omitted)
          7  |   .0029342   .0569262     0.05   0.959    -.1090574    .1149257
          8  |          0  (empty)
          9  |    .046048   .0483773     0.95   0.342    -.0491254    .1412213
         10  |          0  (empty)
         11  |   .0468276   .0418928     1.12   0.264    -.0355887    .1292438
         12  |   .2600665    .110012     2.36   0.019     .0436385    .4764945
             |
  year_group |
          5  |  -.4055818   9.63e-08 -4.2e+06   0.000     -.405582   -.4055816
          6  |  -.3331466   .1594612    -2.09   0.037    -.6468567   -.0194366
          7  |  -.3804424   .1204517    -3.16   0.002    -.6174085   -.1434762
          8  |  -.2975507   .1137079    -2.62   0.009    -.5212496   -.0738517
          9  |   -.293024   .1137725    -2.58   0.010    -.5168501   -.0691979
         10  |  -.2032803   .1163226    -1.75   0.081    -.4321233    .0255627
         11  |  -.1315554   .1239351    -1.06   0.289    -.3753746    .1122637
         12  |  -.2424972   .1207237    -2.01   0.045    -.4799986   -.0049959
         13  |  -.1522283   .1312904    -1.16   0.247    -.4105176     .106061
             |
       _cons |   .4517763    .129292     3.49   0.001     .1974184    .7061342
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,210      .26667    .4614444          0   2.972645
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(16, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8226
                                                    Adj R-squared     = 0.7603
                                                    Root MSE          = 0.1887

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0083733     .04235     0.20   0.843    -.0749425     .091689
             |
 scale_group |
          2  |  -.1555107   .0294504    -5.28   0.000    -.2134488   -.0975727
          3  |          0  (omitted)
          4  |   .0531967    .028852     1.84   0.066    -.0035641    .1099576
          5  |   .0323464   .0309158     1.05   0.296    -.0284747    .0931675
          6  |  -.0171636   .0515333    -0.33   0.739    -.1185458    .0842185
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0768283   .0382159     2.01   0.045     .0016456    .1520109
         10  |          0  (empty)
         11  |   .0752403   .0370332     2.03   0.043     .0023845    .1480961
         12  |  -.1353584   .0159673    -8.48   0.000     -.166771   -.1039458
             |
  year_group |
          5  |   .1491687          .        .       .            .           .
          6  |  -.1962696   .1070489    -1.83   0.068    -.4068682    .0143291
          7  |  -.2229178   .0906626    -2.46   0.014    -.4012795    -.044556
          8  |  -.1595992   .0846095    -1.89   0.060    -.3260525    .0068541
          9  |  -.2204042   .0819596    -2.69   0.008    -.3816443   -.0591641
         10  |  -.1992849   .0838143    -2.38   0.018    -.3641739   -.0343959
         11  |  -.2288245   .0849768    -2.69   0.007    -.3960004   -.0616486
         12  |  -.1717241   .0895657    -1.92   0.056    -.3479278    .0044797
         13  |  -.1826238   .0859798    -2.12   0.034    -.3517729   -.0134747
             |
       _cons |    .431667   .0837108     5.16   0.000     .2669818    .5963523
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,210    .2377105     .381133          0   3.164011
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,210
Absorbed variable: factor_pair                    No. of categories =      298
                                                  F(17, 324)        = 7.27e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.6818
                                                  Adj R-squared     =   0.5702
                                                  Root MSE          =   0.1778

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0064714   .0296776    -0.22   0.828    -.0648564    .0519137
             |
 scale_group |
          2  |   .0220551   .0574417     0.38   0.701    -.0909507    .1350609
          3  |          0  (omitted)
          4  |     .02745   .0426804     0.64   0.521    -.0565156    .1114157
          5  |   .0245148   .0467743     0.52   0.601    -.0675048    .1165345
          6  |          0  (omitted)
          7  |  -.0391506   .0469715    -0.83   0.405    -.1315582     .053257
          8  |          0  (empty)
          9  |  -.0469224    .045215    -1.04   0.300    -.1358745    .0420296
         10  |          0  (empty)
         11  |   .0721399    .058032     1.24   0.215    -.0420272    .1863069
         12  |   .0102873   .0544728     0.19   0.850    -.0968777    .1174523
             |
  year_group |
          5  |   .1068893   9.62e-08  1.1e+06   0.000     .1068891    .1068895
          6  |   .3080917   .0635437     4.85   0.000     .1830814     .433102
          7  |   .2810826   .0875624     3.21   0.001       .10882    .4533452
          8  |   .1668592   .0747157     2.23   0.026     .0198701    .3138484
          9  |   .1757629   .0709261     2.48   0.014     .0362291    .3152967
         10  |   .1932649   .0722772     2.67   0.008     .0510731    .3354567
         11  |   .2099085   .0739634     2.84   0.005     .0643993    .3554177
         12  |   .1771456   .0736839     2.40   0.017     .0321863    .3221049
         13  |   .1489809   .0743756     2.00   0.046     .0026607    .2953011
             |
       _cons |  -.0895786   .0761923    -1.18   0.241    -.2394726    .0603154
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,210    .1204116     .273539          0   2.516419
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,210
Absorbed variable: factor_pair                    No. of categories =      298
                                                  F(17, 324)        = 1.14e+11
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7915
                                                  Adj R-squared     =   0.7184
                                                  Root MSE          =   0.2598

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0492108   .0509963     0.96   0.335    -.0511149    .1495366
             |
 scale_group |
          2  |  -.1518998   .0470575    -3.23   0.001    -.2444767   -.0593229
          3  |          0  (omitted)
          4  |  -.0120978   .0441483    -0.27   0.784    -.0989514    .0747558
          5  |   .0639276   .0611072     1.05   0.296    -.0562895    .1841446
          6  |  -.0209695   .0558406    -0.38   0.708    -.1308253    .0888864
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |    .091204   .0722781     1.26   0.208    -.0509896    .2333976
         10  |          0  (empty)
         11  |  -.0234645    .043844    -0.54   0.593    -.1097194    .0627904
         12  |  -.1164465   .0251469    -4.63   0.000    -.1659183   -.0669747
             |
  year_group |
          5  |  -.0797862   5.74e-08 -1.4e+06   0.000    -.0797864   -.0797861
          6  |   .1847436   .1900923     0.97   0.332    -.1892275    .5587146
          7  |   -.158005   .1317725    -1.20   0.231    -.4172426    .1012326
          8  |  -.0829589   .1102617    -0.75   0.452    -.2998781    .1339604
          9  |   .0138775   .1002942     0.14   0.890    -.1834325    .2111876
         10  |  -.0848872    .109121    -0.78   0.437    -.2995623    .1297879
         11  |  -.1964854   .1111622    -1.77   0.078    -.4151763    .0222055
         12  |  -.2010348   .1112862    -1.81   0.072    -.4199696    .0179001
         13  |  -.1724454   .1116721    -1.54   0.124    -.3921395    .0472486
             |
       _cons |   .3905514    .106221     3.68   0.000     .1815814    .5995214
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,210    .2768364    .5051871          0   3.654724
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,210
Absorbed variable: factor_pair                    No. of categories =      298
                                                  F(17, 324)        = 2.25e+11
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9685
                                                  Adj R-squared     =   0.9575
                                                  Root MSE          =   0.1052

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0272139   .0189956     1.43   0.153    -.0101565    .0645842
             |
 scale_group |
          2  |   .0388344   .0202055     1.92   0.055    -.0009161    .0785849
          3  |          0  (omitted)
          4  |  -.0275728   .0477669    -0.58   0.564    -.1215451    .0663996
          5  |  -.0626763   .0538348    -1.16   0.245    -.1685862    .0432337
          6  |          0  (omitted)
          7  |  -.0891967   .0504065    -1.77   0.078    -.1883621    .0099687
          8  |          0  (empty)
          9  |  -.0307487   .0611897    -0.50   0.616     -.151128    .0896306
         10  |          0  (empty)
         11  |  -.0330556   .0449454    -0.74   0.463    -.1214773     .055366
         12  |   .0294793   .0152653     1.93   0.054    -.0005525     .059511
             |
  year_group |
          5  |  -.1371555   7.01e-08 -2.0e+06   0.000    -.1371556   -.1371554
          6  |  -.0043431    .060311    -0.07   0.943    -.1229937    .1143076
          7  |  -.0452212    .043554    -1.04   0.300    -.1309056    .0404632
          8  |  -.0435737   .0406857    -1.07   0.285    -.1236153    .0364678
          9  |   -.043319   .0407989    -1.06   0.289    -.1235833    .0369453
         10  |  -.0751998   .0432125    -1.74   0.083    -.1602124    .0098127
         11  |  -.0462625   .0483721    -0.96   0.340    -.1414255    .0489004
         12  |  -.0502214   .0487054    -1.03   0.303    -.1460401    .0455973
         13  |   -.071411    .047881    -1.49   0.137    -.1656079    .0227858
             |
       _cons |   .3934782   .0537447     7.32   0.000     .2877456    .4992108
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,210    .3085213    .4943024          0   3.149978
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(16, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9503
                                                    Adj R-squared     = 0.9329
                                                    Root MSE          = 0.1286

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0651912   .0255797    -2.55   0.011    -.1155144   -.0148679
             |
 scale_group |
          2  |  -.0957628   .0996167    -0.96   0.337      -.29174    .1002144
          3  |          0  (omitted)
          4  |   .0309421   .0296697     1.04   0.298    -.0274275    .0893116
          5  |   .0098268   .0340727     0.29   0.773    -.0572049    .0768585
          6  |          0  (omitted)
          7  |    .011727   .0325527     0.36   0.719    -.0523144    .0757683
          8  |          0  (empty)
          9  |   .0352803   .0396324     0.89   0.374     -.042689    .1132497
         10  |          0  (empty)
         11  |  -.0130454   .0323517    -0.40   0.687    -.0766913    .0506005
         12  |  -.0705577   .0942809    -0.75   0.455    -.2560378    .1149223
             |
  year_group |
          5  |  -.2569373          .        .       .            .           .
          6  |  -.6435507   .1437916    -4.48   0.000    -.9264338   -.3606676
          7  |  -.8132375   .1495215    -5.44   0.000    -1.107393    -.519082
          8  |  -.7840561   .1489024    -5.27   0.000    -1.076994   -.4911186
          9  |   -.794172    .146569    -5.42   0.000    -1.082519   -.5058249
         10  |  -.7799837   .1473155    -5.29   0.000    -1.069799    -.490168
         11  |  -.7502592   .1474248    -5.09   0.000     -1.04029   -.4602286
         12  |  -.7639221   .1476576    -5.17   0.000    -1.054411   -.4734333
         13  |  -.7399401   .1473718    -5.02   0.000    -1.029867   -.4500136
             |
       _cons |   1.120383   .1438493     7.79   0.000     .8373864     1.40338
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,210    .3008603    .4809543          0   3.171389
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,210
Absorbed variable: factor_pair                    No. of categories =      298
                                                  F(17, 324)        = 1.15e+09
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8189
                                                  Adj R-squared     =   0.7554
                                                  Root MSE          =   0.2489

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0371157   .0528853     0.70   0.483    -.0669263    .1411577
             |
 scale_group |
          2  |   .1529558   .0756471     2.02   0.044     .0041343    .3017773
          3  |          0  (omitted)
          4  |  -.0824076   .0489333    -1.68   0.093    -.1786746    .0138595
          5  |  -.1234906   .0582883    -2.12   0.035    -.2381619   -.0088194
          6  |          0  (omitted)
          7  |  -.1550872   .0576028    -2.69   0.007    -.2684099   -.0417644
          8  |          0  (empty)
          9  |   .0593495   .0744912     0.80   0.426     -.087198    .2058971
         10  |          0  (empty)
         11  |  -.1449398   .0659484    -2.20   0.029     -.274681   -.0151986
         12  |   .2144508   .0657091     3.26   0.001     .0851804    .3437212
             |
  year_group |
          5  |  -.0097446   6.97e-08 -1.4e+05   0.000    -.0097448   -.0097445
          6  |   -.044351   .1066756    -0.42   0.678    -.2542152    .1655132
          7  |  -.1259341   .1056126    -1.19   0.234    -.3337071     .081839
          8  |  -.1011689   .0942658    -1.07   0.284    -.2866191    .0842814
          9  |  -.0824397   .0856637    -0.96   0.337     -.250967    .0860875
         10  |  -.0787665     .09375    -0.84   0.401    -.2632021    .1056691
         11  |  -.0909141   .0972298    -0.94   0.350    -.2821955    .1003674
         12  |  -.1120679   .1028784    -1.09   0.277    -.3144619    .0903262
         13  |  -.0805977   .0985604    -0.82   0.414     -.274497    .1133015
             |
       _cons |    .434476   .0955587     4.55   0.000     .2464821    .6224699
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,210    .3263834    .4889356          0   2.681081

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    296
                                                    F(17, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7958
                                                    Adj R-squared     = 0.7277
                                                    Root MSE          = 0.2106

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0172491    .046529    -0.37   0.711    -.1087905    .0742924
             |
 scale_group |
          2  |   .1683027   .0870405     1.93   0.054    -.0029412    .3395465
          3  |          0  (omitted)
          4  |    .117483   .0494604     2.38   0.018     .0201743    .2147916
          5  |   .0861459   .0573741     1.50   0.134    -.0267322    .1990239
          6  |   .0878198   .0554717     1.58   0.114    -.0213156    .1969552
          7  |   .1878531     .08684     2.16   0.031     .0170037    .3587024
          8  |   .1942755     .08684     2.24   0.026     .0234262    .3651249
          9  |   .1229864   .0618873     1.99   0.048     .0012291    .2447438
         10  |          0  (empty)
         11  |   .1836156   .0572291     3.21   0.001     .0710229    .2962084
         12  |   .1594268   .0791357     2.01   0.045     .0037348    .3151187
             |
  year_group |
          5  |   .0148129   .0014035    10.55   0.000     .0120516    .0175742
          6  |  -.2212332   .1462027    -1.51   0.131    -.5088732    .0664067
          7  |   .0240506   .0996035     0.24   0.809    -.1719098    .2200111
          8  |   .0349374   .0817254     0.43   0.669    -.1258496    .1957244
          9  |   .0612011   .0759639     0.81   0.421    -.0882506    .2106527
         10  |   .1237528   .0767595     1.61   0.108    -.0272642    .2747699
         11  |    .208181   .0877976     2.37   0.018     .0354476    .3809144
         12  |   .1748903   .0817612     2.14   0.033      .014033    .3357476
         13  |   .1252608   .0899676     1.39   0.165    -.0517418    .3022635
             |
       _cons |  -.0299772   .0945291    -0.32   0.751    -.2159542    .1559999
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         765           0        765        765

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,258    .2191477     .406446          0   3.075185
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    296
                                                    F(17, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8206
                                                    Adj R-squared     = 0.7609
                                                    Root MSE          = 0.2291

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0043036   .0557561     0.08   0.939    -.1053912    .1139985
             |
 scale_group |
          2  |   .0594622   .0652424     0.91   0.363     -.068896    .1878203
          3  |          0  (omitted)
          4  |   .1731024   .0423562     4.09   0.000     .0897706    .2564341
          5  |    .104504   .0582179     1.80   0.074    -.0100343    .2190423
          6  |   .1262724   .0564383     2.24   0.026     .0152355    .2373093
          7  |   .1472804   .0781661     1.88   0.060    -.0065039    .3010648
          8  |   .1472804   .0781661     1.88   0.060    -.0065039    .3010648
          9  |   .1319477   .0482198     2.74   0.007     .0370798    .2268155
         10  |          0  (empty)
         11  |     .14543   .0529255     2.75   0.006      .041304     .249556
         12  |   .0688513   .0583178     1.18   0.239    -.0458834    .1835859
             |
  year_group |
          5  |   -.307418   2.29e-08 -1.3e+07   0.000    -.3074181    -.307418
          6  |   -.203044    .117907    -1.72   0.086    -.4350147    .0289268
          7  |  -.2721822   .0842676    -3.23   0.001    -.4379707   -.1063937
          8  |   -.236605   .0818641    -2.89   0.004    -.3976648   -.0755451
          9  |  -.2101083   .0774395    -2.71   0.007    -.3624631   -.0577535
         10  |  -.1452845   .0770655    -1.89   0.060    -.2969036    .0063345
         11  |  -.0865337   .0863767    -1.00   0.317    -.2564717    .0834042
         12  |  -.1752423   .0833497    -2.10   0.036    -.3392248   -.0112597
         13  |  -.0960076   .1005678    -0.95   0.340    -.2938651      .10185
             |
       _cons |   .3006449   .0948239     3.17   0.002      .114088    .4872019
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         765           0        765        765

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,258    .2592945    .4637757          0   3.742222
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    296
                                                    F(17, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8078
                                                    Adj R-squared     = 0.7438
                                                    Root MSE          = 0.1968

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0200104   .0349549     0.57   0.567      -.04876    .0887808
             |
 scale_group |
          2  |   .0459226   .1015433     0.45   0.651    -.1538543    .2456994
          3  |          0  (omitted)
          4  |   .0007783   .0275457     0.03   0.977    -.0534152    .0549719
          5  |  -.0142633   .0376525    -0.38   0.705     -.088341    .0598145
          6  |  -.0584412   .0488179    -1.20   0.232    -.1544857    .0376034
          7  |  -.0634169   .0531982    -1.19   0.234    -.1680793    .0412455
          8  |  -.0634169   .0531982    -1.19   0.234    -.1680793    .0412455
          9  |   .0597328   .0598058     1.00   0.319    -.0579294     .177395
         10  |          0  (empty)
         11  |    .014924   .0375012     0.40   0.691    -.0588559     .088704
         12  |  -.0401848   .0500204    -0.80   0.422    -.1385953    .0582256
             |
  year_group |
          5  |   .0476497    .026523     1.80   0.073    -.0045318    .0998312
          6  |  -.1910421   .0617753    -3.09   0.002    -.3125792   -.0695051
          7  |   -.087084   .0516361    -1.69   0.093    -.1886732    .0145052
          8  |   .0096662   .0589718     0.16   0.870    -.1063552    .1256876
          9  |   -.124277   .0388326    -3.20   0.002    -.2006765   -.0478775
         10  |  -.1178832   .0417985    -2.82   0.005    -.2001177   -.0356486
         11  |  -.1171049   .0444546    -2.63   0.009    -.2045652   -.0296446
         12  |   -.121523   .0458743    -2.65   0.008    -.2117763   -.0312698
         13  |  -.1049852   .0466513    -2.25   0.025    -.1967673   -.0132032
             |
       _cons |   .3492161   .0549128     6.36   0.000     .2411803    .4572518
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         765           0        765        765

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,258    .2518424    .4062573          0   2.949898
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    296
                                                    F(17, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6484
                                                    Adj R-squared     = 0.5314
                                                    Root MSE          = 0.1790

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0052398    .039105     0.13   0.893    -.0716957    .0821753
             |
 scale_group |
          2  |  -.1480925    .152288    -0.97   0.332    -.4477047    .1515196
          3  |          0  (omitted)
          4  |   .0065174   .0278291     0.23   0.815    -.0482337    .0612684
          5  |   .0042727   .0392986     0.11   0.913    -.0730436     .081589
          6  |   .0243553   .0397531     0.61   0.541    -.0538552    .1025658
          7  |  -.1706502   .0760807    -2.24   0.026    -.3203319   -.0209686
          8  |  -.1706502   .0760807    -2.24   0.026    -.3203319   -.0209686
          9  |  -.0406837   .0367685    -1.11   0.269    -.1130222    .0316548
         10  |          0  (empty)
         11  |   .0173055   .0356791     0.49   0.628    -.0528896    .0875007
         12  |   -.170832   .1466823    -1.16   0.245    -.4594154    .1177515
             |
  year_group |
          5  |   .0057128   .0815526     0.07   0.944    -.1547342    .1661598
          6  |   .3423151   .1830452     1.87   0.062    -.0178089    .7024391
          7  |    .032629   .1476185     0.22   0.825    -.2577963    .3230544
          8  |   .0021048   .1480013     0.01   0.989    -.2890736    .2932832
          9  |  -.0067854   .1439544    -0.05   0.962    -.2900019    .2764311
         10  |  -.0306155   .1441538    -0.21   0.832    -.3142244    .2529934
         11  |  -.0358683   .1453424    -0.25   0.805    -.3218157     .250079
         12  |  -.0268025   .1446678    -0.19   0.853    -.3114226    .2578176
         13  |  -.0140185   .1460369    -0.10   0.924    -.3013322    .2732952
             |
       _cons |   .1633371   .1574286     1.04   0.300    -.1463886    .4730629
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         765           0        765        765

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,258    .1091471    .2694194          0   2.744518
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    296
                                                    F(17, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8185
                                                    Adj R-squared     = 0.7581
                                                    Root MSE          = 0.2341

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0473857   .0405944     1.17   0.244    -.0324799    .1272512
             |
 scale_group |
          2  |  -.0957895   .0852962    -1.12   0.262    -.2636015    .0720226
          3  |          0  (omitted)
          4  |  -.0292325   .0419299    -0.70   0.486    -.1117257    .0532607
          5  |    .013858   .0566035     0.24   0.807    -.0975041    .1252201
          6  |  -.0967838   .0629065    -1.54   0.125    -.2205465    .0269788
          7  |  -.0023898   .0818976    -0.03   0.977    -.1635156     .158736
          8  |   .0161479   .0818976     0.20   0.844    -.1449779    .1772737
          9  |   -.019977    .068811    -0.29   0.772    -.1553561    .1154022
         10  |          0  (empty)
         11  |  -.0901297   .0524735    -1.72   0.087    -.1933664     .013107
         12  |   .0197744   .0527188     0.38   0.708    -.0839448    .1234936
             |
  year_group |
          5  |   .1262076   .0827799     1.52   0.128    -.0366541    .2890693
          6  |   .3825373   .1984483     1.93   0.055    -.0078908    .7729655
          7  |  -.0812763   .1384466    -0.59   0.558    -.3536569    .1911042
          8  |   .1086684   .1403801     0.77   0.439    -.1675161    .3848529
          9  |   .1526075   .1200966     1.27   0.205    -.0836711    .3888861
         10  |   .1010371   .1235843     0.82   0.414    -.1421032    .3441774
         11  |  -.0296514   .1261294    -0.24   0.814    -.2777991    .2184963
         12  |  -.0234376   .1266082    -0.19   0.853    -.2725271    .2256519
         13  |   .0154065   .1286923     0.12   0.905    -.2377834    .2685963
             |
       _cons |   .2218173   .1293079     1.72   0.087    -.0325837    .4762183
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         765           0        765        765

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,258    .2662945    .4998516          0   3.590473
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    296
                                                    F(17, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9726
                                                    Adj R-squared     = 0.9635
                                                    Root MSE          = 0.0954

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0001672   .0189007    -0.01   0.993    -.0373525    .0370181
             |
 scale_group |
          2  |  -.0063708   .0219966    -0.29   0.772     -.049647    .0369055
          3  |          0  (omitted)
          4  |   .0272761   .0195045     1.40   0.163    -.0110972    .0656494
          5  |   .0328115   .0209931     1.56   0.119    -.0084904    .0741134
          6  |   .0852677   .0581188     1.47   0.143    -.0290755    .1996109
          7  |  -.0181595   .0401737    -0.45   0.652    -.0971974    .0608783
          8  |  -.0097066   .0401737    -0.24   0.809    -.0887444    .0693313
          9  |   .0100743    .028251     0.36   0.722    -.0455069    .0656556
         10  |          0  (empty)
         11  |    .044199   .0274086     1.61   0.108    -.0097247    .0981227
         12  |    .003046   .0193366     0.16   0.875     -.034997    .0410889
             |
  year_group |
          5  |  -.0733861   .0233995    -3.14   0.002    -.1194224   -.0273499
          6  |   .0939243   .0663042     1.42   0.158    -.0365229    .2243715
          7  |  -.0508234   .0371671    -1.37   0.172    -.1239462    .0222994
          8  |  -.0296422   .0352661    -0.84   0.401    -.0990248    .0397405
          9  |  -.0348639   .0329227    -1.06   0.290    -.0996361    .0299083
         10  |  -.0556694   .0340473    -1.64   0.103    -.1226541    .0113153
         11  |  -.0375076   .0365567    -1.03   0.306    -.1094294    .0344142
         12  |  -.0421144   .0366481    -1.15   0.251    -.1142161    .0299874
         13  |  -.0396977   .0401296    -0.99   0.323     -.118649    .0392535
             |
       _cons |   .3383917   .0387401     8.73   0.000     .2621743    .4146091
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         765           0        765        765

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,258    .3078098    .4944252          0   3.380473
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    296
                                                    F(17, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9538
                                                    Adj R-squared     = 0.9384
                                                    Root MSE          = 0.1185

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0228293   .0244687    -0.93   0.352    -.0709691    .0253105
             |
 scale_group |
          2  |  -.0716342    .098086    -0.73   0.466     -.264609    .1213406
          3  |          0  (omitted)
          4  |   .0311837   .0211771     1.47   0.142    -.0104803    .0728477
          5  |   .0294452   .0280707     1.05   0.295    -.0257813    .0846716
          6  |    .039048   .0277922     1.40   0.161    -.0156306    .0937265
          7  |   .0388682   .0400084     0.97   0.332    -.0398446    .1175809
          8  |   .0388682   .0400084     0.97   0.332    -.0398446    .1175809
          9  |   .0467418   .0365912     1.28   0.202    -.0252479    .1187316
         10  |          0  (empty)
         11  |   .0695051   .0336108     2.07   0.039      .003379    .1356312
         12  |    .014565   .0895939     0.16   0.871    -.1617025    .1908325
             |
  year_group |
          5  |  -.1291039   .0287947    -4.48   0.000    -.1857548    -.072453
          6  |  -.3772902   .0739733    -5.10   0.000    -.5228257   -.2317547
          7  |  -.5329823   .0696498    -7.65   0.000    -.6700117   -.3959528
          8  |  -.5326282   .0663336    -8.03   0.000    -.6631332   -.4021232
          9  |  -.5066184   .0637197    -7.95   0.000    -.6319809   -.3812559
         10  |  -.4996168   .0643716    -7.76   0.000    -.6262619   -.3729717
         11  |  -.4684331   .0653847    -7.16   0.000    -.5970712    -.339795
         12  |  -.4774797   .0654246    -7.30   0.000    -.6061965    -.348763
         13  |  -.4553319   .0665675    -6.84   0.000    -.5862971   -.3243667
             |
       _cons |   .7800356   .0713572    10.93   0.000      .639647    .9204241
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         765           0        765        765

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,258    .2967692    .4731914          0   3.208982
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    296
                                                    F(17, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7681
                                                    Adj R-squared     = 0.6909
                                                    Root MSE          = 0.2919

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0272889   .0588444     0.46   0.643     -.088482    .1430597
             |
 scale_group |
          2  |  -.2778637   .1394874    -1.99   0.047    -.5522919   -.0034355
          3  |          0  (omitted)
          4  |   .0690951   .0418877     1.65   0.100     -.013315    .1515052
          5  |   .1094261   .0601491     1.82   0.070    -.0089115    .2277637
          6  |   .0720035   .0610898     1.18   0.239    -.0481849     .192192
          7  |   .0993868   .0921342     1.08   0.282    -.0818786    .2806522
          8  |   .0944045   .0921342     1.02   0.306    -.0868608    .2756699
          9  |   .1697967    .088126     1.93   0.055    -.0035829    .3431763
         10  |          0  (empty)
         11  |   .1206269   .0684061     1.76   0.079    -.0139556    .2552093
         12  |  -.1697109   .1329311    -1.28   0.203    -.4312402    .0918185
             |
  year_group |
          5  |  -.0604182   .0974831    -0.62   0.536     -.252207    .1313707
          6  |  -.0264265   .3262668    -0.08   0.935    -.6683254    .6154723
          7  |   -.224391    .181265    -1.24   0.217    -.5810126    .1322305
          8  |  -.1915055   .1754558    -1.09   0.276    -.5366981    .1536871
          9  |  -.2365245    .159259    -1.49   0.138    -.5498516    .0768025
         10  |  -.2479127   .1611367    -1.54   0.125    -.5649339    .0691085
         11  |  -.2677595   .1651213    -1.62   0.106    -.5926199    .0571009
         12  |  -.2227706   .1647471    -1.35   0.177    -.5468948    .1013536
         13  |  -.2020425   .1691484    -1.19   0.233    -.5348259    .1307409
             |
       _cons |   .5558458   .1749254     3.18   0.002     .2116967     .899995
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         765           0        765        765

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,258    .3461233    .5252301          0   3.611202

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7392
                                                    Adj R-squared     = 0.6491
                                                    Root MSE          = 0.2404

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0308751    .050742    -0.61   0.543     -.130697    .0689468
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .048387   .1041655     0.46   0.643    -.1565321    .2533061
          4  |   .0956105   .0417681     2.29   0.023     .0134425    .1777786
          5  |   .0108553   .0690913     0.16   0.875    -.1250642    .1467748
          6  |   .0586749   .0613486     0.96   0.340     -.062013    .1793627
          7  |   .1194007   .0692866     1.72   0.086    -.0169031    .2557045
          8  |   .1265756   .0692866     1.83   0.069    -.0097282    .2628794
          9  |   .0897407   .0711713     1.26   0.208    -.0502706    .2297521
         10  |          0  (empty)
         11  |   .1626689   .0604074     2.69   0.007     .0438329     .281505
         12  |   .0468372   .0610428     0.77   0.443     -.073249    .1669234
             |
  year_group |
          5  |          0  (empty)
          6  |   -.529484   .1203061    -4.40   0.000    -.7661555   -.2928125
          7  |   .0591248   .1056574     0.56   0.576    -.1487291    .2669788
          8  |  -.0094378   .0645733    -0.15   0.884    -.1364693    .1175937
          9  |   .0164485   .0478623     0.34   0.731    -.0777084    .1106054
         10  |   .0721436    .057807     1.25   0.213     -.041577    .1858642
         11  |   .0980332   .0825084     1.19   0.236    -.0642811    .2603474
         12  |   .1208137   .0706073     1.71   0.088    -.0180881    .2597155
         13  |   .0834297   .0724755     1.15   0.251    -.0591474    .2260068
             |
       _cons |    .101566   .0753256     1.35   0.178     -.046618      .24975
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,294    .2180817    .4001341          0   3.409703
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8440
                                                    Adj R-squared     = 0.7901
                                                    Root MSE          = 0.1983

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0232499   .0468285     0.50   0.620    -.0688733    .1153731
             |
 scale_group |
          2  |  -.0365408   .0717057    -0.51   0.611    -.1776036    .1045219
          3  |          0  (omitted)
          4  |   .1235564   .0256821     4.81   0.000     .0730334    .1740793
          5  |    .107502   .0415311     2.59   0.010        .0258    .1892039
          6  |   .0903031    .056077     1.61   0.108    -.0200141    .2006204
          7  |   .1366095   .0504188     2.71   0.007     .0374234    .2357955
          8  |   .1366095   .0504188     2.71   0.007     .0374234    .2357955
          9  |   .1122364   .0325064     3.45   0.001     .0482883    .1761845
         10  |          0  (empty)
         11  |   .0792108     .03553     2.23   0.026     .0093146    .1491069
         12  |   .0024853   .0544422     0.05   0.964    -.1046159    .1095865
             |
  year_group |
          5  |          0  (empty)
          6  |   -.416992   .0756982    -5.51   0.000     -.565909   -.2680749
          7  |  -.4230308   .0556288    -7.60   0.000    -.5324662   -.3135953
          8  |  -.3221425   .0421841    -7.64   0.000     -.405129    -.239156
          9  |  -.3271226   .0367879    -8.89   0.000    -.3994934   -.2547518
         10  |  -.2456181    .040079    -6.13   0.000    -.3244632    -.166773
         11  |  -.1761498   .0542204    -3.25   0.001    -.2828146   -.0694849
         12  |  -.2463716   .0483926    -5.09   0.000    -.3415717   -.1511715
         13  |  -.1669374   .0732183    -2.28   0.023    -.3109759    -.022899
             |
       _cons |   .4070734    .059072     6.89   0.000     .2908642    .5232826
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,294    .2424726    .4301935          0   3.307528
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7764
                                                    Adj R-squared     = 0.6991
                                                    Root MSE          = 0.1900

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0177803   .0274849     0.65   0.518    -.0362894    .0718499
             |
 scale_group |
          2  |  -.0632178   .0915429    -0.69   0.490    -.2433052    .1168695
          3  |          0  (omitted)
          4  |   -.007228   .0287407    -0.25   0.802     -.063768    .0493121
          5  |  -.0522407    .036654    -1.43   0.155    -.1243481    .0198667
          6  |  -.0730378   .0479322    -1.52   0.129    -.1673322    .0212566
          7  |  -.0639459   .0417932    -1.53   0.127    -.1461634    .0182717
          8  |  -.0639459   .0417932    -1.53   0.127    -.1461634    .0182717
          9  |  -.0271241   .0490017    -0.55   0.580    -.1235224    .0692742
         10  |          0  (empty)
         11  |  -.0061699   .0401679    -0.15   0.878    -.0851901    .0728503
         12  |  -.0714429   .0654922    -1.09   0.276    -.2002822    .0573964
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0145456   .0932801    -0.16   0.876    -.1980503    .1689592
          7  |  -.0902073   .0994508    -0.91   0.365    -.2858515    .1054368
          8  |   -.034063   .0912082    -0.37   0.709    -.2134918    .1453658
          9  |  -.0922345    .084731    -1.09   0.277     -.258921    .0744521
         10  |  -.0913124   .0867692    -1.05   0.293    -.2620087    .0793839
         11  |  -.1295667    .088483    -1.46   0.144    -.3036345     .044501
         12  |  -.1169018   .0884878    -1.32   0.187    -.2909789    .0571753
         13  |  -.0879194   .0885938    -0.99   0.322    -.2622052    .0863664
             |
       _cons |   .3499039    .092229     3.79   0.000     .1684668     .531341
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,294    .2401442    .3673351          0   2.806186
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5693
                                                    Adj R-squared     = 0.4205
                                                    Root MSE          = 0.1937

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0167694   .0352526    -0.48   0.635      -.08612    .0525811
             |
 scale_group |
          2  |   .0187394   .1777019     0.11   0.916    -.3308437    .3683226
          3  |          0  (omitted)
          4  |   .0234239   .0222247     1.05   0.293    -.0202976    .0671453
          5  |   .0278935   .0337983     0.83   0.410     -.038596    .0943829
          6  |   .0491962   .0464991     1.06   0.291     -.042279    .1406713
          7  |  -.0807425   .0409697    -1.97   0.050      -.16134   -.0001451
          8  |  -.0807425   .0409697    -1.97   0.050      -.16134   -.0001451
          9  |  -.0763776   .0382989    -1.99   0.047     -.151721   -.0010342
         10  |          0  (empty)
         11  |   .0587443   .0445731     1.32   0.188    -.0289418    .1464305
         12  |  -.1000391    .177419    -0.56   0.573    -.4490659    .2489876
             |
  year_group |
          5  |          0  (empty)
          6  |   .2703038   .1364831     1.98   0.048     .0018082    .5387994
          7  |   .1833523   .1083491     1.69   0.092    -.0297968    .3965014
          8  |   .0820031   .0945529     0.87   0.386    -.1040056    .2680118
          9  |   .0799652    .089017     0.90   0.370    -.0951531    .2550834
         10  |   .0651904   .0910509     0.72   0.475     -.113929    .2443098
         11  |   .0724962   .0928866     0.78   0.436    -.1102344    .2552269
         12  |   .0591034   .0923831     0.64   0.523    -.1226367    .2408435
         13  |   .0831766   .0937678     0.89   0.376    -.1012875    .2676408
             |
       _cons |   .0496775   .1076335     0.46   0.645     -.162064     .261419
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,294    .1181889     .260645          0   2.735769
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8151
                                                    Adj R-squared     = 0.7512
                                                    Root MSE          = 0.2200

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .021854   .0351136     0.62   0.534     -.047223    .0909311
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0866452   .0621794     1.39   0.164     -.035677    .2089674
          4  |  -.0206588   .0236641    -0.87   0.383    -.0672119    .0258943
          5  |   .0376828   .0360566     1.05   0.297    -.0332493    .1086149
          6  |  -.0860508   .0356351    -2.41   0.016    -.1561538   -.0159479
          7  |   .0010472   .0524483     0.02   0.984    -.1021315    .1042258
          8  |   .0155299   .0524483     0.30   0.767    -.0876487    .1187086
          9  |  -.0056181   .0889129    -0.06   0.950    -.1805316    .1692953
         10  |          0  (empty)
         11  |  -.0835919    .043574    -1.92   0.056    -.1693127    .0021289
         12  |   .1248883   .0468086     2.67   0.008     .0328044    .2169723
             |
  year_group |
          5  |          0  (empty)
          6  |   .5202179   .3234794     1.61   0.109    -.1161454    1.156581
          7  |    .156401   .1788446     0.87   0.382    -.1954302    .5082322
          8  |   .1677234   .1540448     1.09   0.277    -.1353205    .4707673
          9  |   .1873647   .1453992     1.29   0.198    -.0986712    .4734006
         10  |   .1703567   .1486906     1.15   0.253    -.1221542    .4628676
         11  |   .0649108    .149859     0.43   0.665    -.2298985    .3597201
         12  |   .0432875   .1498292     0.29   0.773    -.2514632    .3380383
         13  |   .0497552   .1501154     0.33   0.741    -.2455586    .3450689
             |
       _cons |   .1149878   .1493285     0.77   0.442    -.1787779    .4087535
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,294    .2470833    .4374008          0   2.861457
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9740
                                                    Adj R-squared     = 0.9650
                                                    Root MSE          = 0.0901

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0020351   .0161536     0.13   0.900    -.0297431    .0338133
             |
 scale_group |
          2  |  -.0079899    .022947    -0.35   0.728    -.0531322    .0371525
          3  |          0  (omitted)
          4  |    .025773   .0193769     1.33   0.184    -.0123462    .0638922
          5  |  -.0063132   .0208249    -0.30   0.762    -.0472808    .0346545
          6  |   .0957469   .0536318     1.79   0.075    -.0097599    .2012538
          7  |  -.0075435   .0246035    -0.31   0.759    -.0559446    .0408576
          8  |     .00004   .0246035     0.00   0.999     -.048361    .0484411
          9  |  -.0020743   .0238479    -0.09   0.931    -.0489889    .0448403
         10  |          0  (empty)
         11  |   .0318481   .0201431     1.58   0.115    -.0077784    .0714746
         12  |   .0006272   .0205479     0.03   0.976    -.0397956      .04105
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0456891   .0320318    -1.43   0.155    -.1087035    .0173253
          7  |  -.0600092   .0256226    -2.34   0.020    -.1104152   -.0096032
          8  |   -.068443   .0242555    -2.82   0.005    -.1161596   -.0207265
          9  |  -.0695221   .0220104    -3.16   0.002     -.112822   -.0262222
         10  |  -.0937777   .0248957    -3.77   0.000    -.1427536   -.0448017
         11  |  -.0671829   .0333297    -2.02   0.045    -.1327506   -.0016153
         12  |  -.0777337   .0299515    -2.60   0.010    -.1366557   -.0188117
         13  |  -.0935674   .0282063    -3.32   0.001    -.1490562   -.0380786
             |
       _cons |   .3645128   .0327809    11.12   0.000     .3000247    .4290008
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,294    .2864917    .4738999          0   3.045839
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9578
                                                    Adj R-squared     = 0.9432
                                                    Root MSE          = 0.1131

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0372282   .0257718    -1.44   0.150    -.0879277    .0134714
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1094164   .0794889     1.38   0.170    -.0469578    .2657906
          4  |   .0242306   .0138397     1.75   0.081    -.0029954    .0514567
          5  |   .0210271   .0184814     1.14   0.256    -.0153303    .0573844
          6  |   .0255428   .0232782     1.10   0.273    -.0202511    .0713368
          7  |   .0124218   .0250514     0.50   0.620    -.0368604     .061704
          8  |   .0124218   .0250514     0.50   0.620    -.0368604     .061704
          9  |   .0401576   .0257803     1.56   0.120    -.0105586    .0908738
         10  |          0  (empty)
         11  |   .0224758    .035451     0.63   0.527     -.047265    .0922165
         12  |   .0307214   .0452301     0.68   0.497    -.0582573    .1197002
             |
  year_group |
          5  |          0  (empty)
          6  |   -.645592   .0887891    -7.27   0.000     -.820262    -.470922
          7  |   -.592208   .0744597    -7.95   0.000    -.7386886   -.4457275
          8  |  -.6207092   .0736631    -8.43   0.000    -.7656226   -.4757958
          9  |  -.6153181    .071867    -8.56   0.000    -.7566981   -.4739381
         10  |  -.5998967    .073734    -8.14   0.000    -.7449495   -.4548438
         11  |   -.586963   .0744041    -7.89   0.000    -.7333341   -.4405919
         12  |  -.6013959   .0746428    -8.06   0.000    -.7482365   -.4545553
         13  |  -.5665994   .0771678    -7.34   0.000    -.7184074   -.4147913
             |
       _cons |   .8832622   .0744402    11.87   0.000     .7368201    1.029704
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,294    .2901578      .47566          0   3.184312
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9442
                                                    Adj R-squared     = 0.9249
                                                    Root MSE          = 0.1203

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |     .01095   .0237104     0.46   0.645    -.0356942    .0575943
             |
 scale_group |
          2  |  -.1729355    .138153    -1.25   0.212    -.4447164    .0988454
          3  |          0  (omitted)
          4  |   .0190771   .0251809     0.76   0.449      -.03046    .0686142
          5  |   .0237243   .0290738     0.82   0.415     -.033471    .0809195
          6  |    .042552   .0420124     1.01   0.312    -.0400967    .1252006
          7  |   .0089847   .0350188     0.26   0.798    -.0599058    .0778752
          8  |   .0096158   .0350188     0.27   0.784    -.0592746    .0785063
          9  |   -.006333   .0412013    -0.15   0.878     -.087386    .0747199
         10  |          0  (empty)
         11  |   .0087722   .0303697     0.29   0.773    -.0509724    .0685168
         12  |  -.1201747   .1330497    -0.90   0.367    -.3819161    .1415667
             |
  year_group |
          5  |          0  (empty)
          6  |   .1536022   .1092689     1.41   0.161    -.0613564    .3685608
          7  |   .0310481   .0737646     0.42   0.674     -.114065    .1761613
          8  |    .017689   .0660113     0.27   0.789    -.1121715    .1475495
          9  |   .0179962   .0624861     0.29   0.774    -.1049292    .1409216
         10  |   -.005905    .063904    -0.09   0.926    -.1316199    .1198099
         11  |  -.0165224   .0659312    -0.25   0.802    -.1462253    .1131804
         12  |  -.0232431   .0663671    -0.35   0.726    -.1538035    .1073173
         13  |  -.0204818   .0662028    -0.31   0.757     -.150719    .1097554
             |
       _cons |   .2812875   .0795293     3.54   0.000     .1248339    .4377411
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,294    .2602256    .4381805          0   2.097421

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(658 missing values generated)
(658 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,332
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(19, 320)        =   6.16
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7891
                                                    Adj R-squared     = 0.7162
                                                    Root MSE          = 0.2129

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0242339   .0485222    -0.50   0.618    -.1196966    .0712288
             |
 scale_group |
          2  |   .0783889   .1264775     0.62   0.536    -.1704435    .3272213
          3  |          0  (omitted)
          4  |   .0729612   .0514083     1.42   0.157    -.0281798    .1741022
          5  |   .0082255   .0356297     0.23   0.818    -.0618726    .0783237
          6  |   .1651276   .0655596     2.52   0.012     .0361453      .29411
          7  |          0  (empty)
          8  |   .2604882   .0721146     3.61   0.000     .1186095    .4023669
          9  |  -.0379438   .0655612    -0.58   0.563    -.1669292    .0910416
         10  |   .1923119    .126893     1.52   0.131    -.0573379    .4419617
         11  |   .1812222   .0669124     2.71   0.007     .0495783     .312866
         12  |   .0829525   .1313418     0.63   0.528    -.1754501     .341355
             |
  year_group |
          5  |   .0441032   .0058114     7.59   0.000     .0326698    .0555366
          6  |  -.2715017   .1404655    -1.93   0.054    -.5478541    .0048508
          7  |  -.0326768   .0932499    -0.35   0.726    -.2161372    .1507835
          8  |  -.0045647   .0529155    -0.09   0.931     -.108671    .0995415
          9  |  -.0471712   .0417071    -1.13   0.259    -.1292258    .0348835
         10  |   .0373088   .0517211     0.72   0.471    -.0644476    .1390652
         11  |   .0805354   .0633861     1.27   0.205    -.0441708    .2052416
         12  |   .0964879   .0630137     1.53   0.127    -.0274855    .2204614
         13  |   .0986604   .0736118     1.34   0.181    -.0461637    .2434846
             |
       _cons |   .1213103   .0755529     1.61   0.109     -.027333    .2699535
------------------------------------------------------------------------------
(658 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,332         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,332    .2217505    .4014743          0   2.733646
(658 missing values generated)
(658 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,332
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(18, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8352
                                                    Adj R-squared     = 0.7782
                                                    Root MSE          = 0.1894

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.022777   .0496764    -0.46   0.647    -.1205106    .0749565
             |
 scale_group |
          2  |   .0842896   .0733883     1.15   0.252    -.0600948     .228674
          3  |          0  (omitted)
          4  |   .0561355   .0291736     1.92   0.055    -.0012607    .1135318
          5  |   .0133522   .0281721     0.47   0.636    -.0420739    .0687782
          6  |  -.0025427   .0505617    -0.05   0.960     -.102018    .0969326
          7  |          0  (empty)
          8  |   .0619241    .049654     1.25   0.213    -.0357653    .1596135
          9  |    .023135    .030702     0.75   0.452    -.0372683    .0835384
         10  |   .0591088   .0543731     1.09   0.278    -.0478652    .1660828
         11  |   .0397276   .0434508     0.91   0.361    -.0457577     .125213
         12  |   .1275088   .0769596     1.66   0.099    -.0239018    .2789194
             |
  year_group |
          5  |  -.4136204          .        .       .            .           .
          6  |  -.5429125   .0478191   -11.35   0.000    -.6369921   -.4488329
          7  |  -.5043089   .0359658   -14.02   0.000    -.5750682   -.4335495
          8  |  -.4168966   .0162538   -25.65   0.000    -.4488744   -.3849189
          9  |  -.4119823   .0082699   -49.82   0.000    -.4282525   -.3957121
         10  |   -.354254   .0211253   -16.77   0.000     -.395816    -.312692
         11  |  -.3244933   .0341691    -9.50   0.000    -.3917179   -.2572688
         12  |  -.3668965   .0321952   -11.40   0.000    -.4302374   -.3035555
         13  |  -.3106896   .0623434    -4.98   0.000    -.4333444   -.1880349
             |
       _cons |   .5556228   .0454869    12.22   0.000     .4661317    .6451139
------------------------------------------------------------------------------
(658 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,332         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,332    .2274755    .4036289          0   2.935107
(658 missing values generated)
(658 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,332
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(19, 320)        =   9.04
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7831
                                                    Adj R-squared     = 0.7080
                                                    Root MSE          = 0.1826

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0103543    .034781    -0.30   0.766    -.0787825     .058074
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0210393   .0714073    -0.29   0.768    -.1615263    .1194478
          4  |   .1492602   .0484144     3.08   0.002     .0540095    .2445109
          5  |   .1196055   .0446653     2.68   0.008     .0317309    .2074802
          6  |   .1066587   .0565301     1.89   0.060    -.0045589    .2178762
          7  |          0  (empty)
          8  |   .0868551   .0541154     1.60   0.109    -.0196117    .1933219
          9  |   .1017166   .0586626     1.73   0.084    -.0136966    .2171297
         10  |   .2602196     .07464     3.49   0.001     .1133725    .4070666
         11  |   .1385029    .056422     2.45   0.015      .027498    .2495078
         12  |  -.0076738   .0489343    -0.16   0.875    -.1039474    .0885999
             |
  year_group |
          5  |   .2716894    .061476     4.42   0.000     .1507412    .3926376
          6  |   .0782209   .0998039     0.78   0.434    -.1181338    .2745755
          7  |   .0080827   .0885419     0.09   0.927     -.166115    .1822805
          8  |  -.0240554    .079503    -0.30   0.762    -.1804699    .1323592
          9  |  -.0498819   .0754755    -0.66   0.509    -.1983727     .098609
         10  |  -.0573069   .0790776    -0.72   0.469    -.2128846    .0982708
         11  |  -.0508101   .0797271    -0.64   0.524    -.2076655    .1060453
         12  |  -.0003294   .0833147    -0.00   0.997    -.1642433    .1635844
         13  |  -.0049527   .0809002    -0.06   0.951     -.164116    .1542107
             |
       _cons |   .1573523   .0848188     1.86   0.064    -.0095205    .3242251
------------------------------------------------------------------------------
(658 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,332         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,332    .2251421    .3513112          0   2.379743
(658 missing values generated)
(658 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,332
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(19, 320)        =  35.52
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5386
                                                    Adj R-squared     = 0.3790
                                                    Root MSE          = 0.2228

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0126004   .0347896     0.36   0.717    -.0558448    .0810456
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1034271   .0448679    -2.31   0.022    -.1917005   -.0151538
          4  |   .0404544    .037619     1.08   0.283    -.0335573    .1144662
          5  |     .06775   .0253547     2.67   0.008     .0178671     .117633
          6  |   .0517609   .0649273     0.80   0.426    -.0759774    .1794993
          7  |          0  (empty)
          8  |  -.0869717   .0409856    -2.12   0.035    -.1676069   -.0063365
          9  |  -.0501784   .0420331    -1.19   0.233    -.1328745    .0325177
         10  |  -.0958299   .0587534    -1.63   0.104    -.2114216    .0197619
         11  |   .0814531   .0549763     1.48   0.139    -.0267076    .1896137
         12  |   -.079735   .0433197    -1.84   0.067    -.1649623    .0054924
             |
  year_group |
          5  |   .1220391   .0053463    22.83   0.000     .1115209    .1325574
          6  |   .3872741   .1328275     2.92   0.004     .1259487    .6485995
          7  |   .2711627   .1350359     2.01   0.045     .0054923     .536833
          8  |   .1990451   .1158021     1.72   0.087    -.0287845    .4268747
          9  |    .176852   .1108435     1.60   0.112     -.041222     .394926
         10  |   .1911706   .1145041     1.67   0.096    -.0341053    .4164465
         11  |   .2555596   .1164653     2.19   0.029     .0264253    .4846939
         12  |   .2056601   .1149394     1.79   0.075    -.0204723    .4317926
         13  |   .2363335   .1168028     2.02   0.044     .0065351    .4661319
             |
       _cons |  -.0979513   .1177886    -0.83   0.406    -.3296891    .1337865
------------------------------------------------------------------------------
(658 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,332         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,332    .1380596    .2803935          0   2.669286
(658 missing values generated)
(658 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,332
Absorbed variable: factor_pair                    No. of categories =      324
                                                  F(19, 320)        = 3.90e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8288
                                                  Adj R-squared     =   0.7696
                                                  Root MSE          =   0.2215

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0306277   .0392292     0.78   0.436    -.0465519    .1078073
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1481275   .1066401     1.39   0.166    -.0616769    .3579318
          4  |  -.0387705     .03953    -0.98   0.327    -.1165419    .0390009
          5  |   .0184274   .0234305     0.79   0.432    -.0276699    .0645246
          6  |  -.1263686   .0507478    -2.49   0.013    -.2262101   -.0265272
          7  |          0  (empty)
          8  |  -.0450223   .0498417    -0.90   0.367    -.1430811    .0530365
          9  |   .0301061   .0791202     0.38   0.704    -.1255553    .1857676
         10  |  -.0826283   .0645746    -1.28   0.202    -.2096727    .0444161
         11  |  -.1332477   .0483485    -2.76   0.006    -.2283688   -.0381265
         12  |   .0721901   .0604236     1.19   0.233    -.0466875    .1910678
             |
  year_group |
          5  |  -.1212882   1.41e-08 -8.6e+06   0.000    -.1212882   -.1212882
          6  |   .1367867   .1592001     0.86   0.391    -.1764243    .4499977
          7  |  -.0671239   .0870711    -0.77   0.441     -.238428    .1041801
          8  |   .0267654   .0487216     0.55   0.583    -.0690897    .1226205
          9  |     .03443   .0403643     0.85   0.394     -.044983    .1138429
         10  |  -.0229546   .0533853    -0.43   0.667    -.1279851    .0820758
         11  |   -.123376   .0575112    -2.15   0.033    -.2365238   -.0102283
         12  |  -.1029805   .0579913    -1.78   0.077    -.2170728    .0111118
         13  |  -.1310727   .0610325    -2.15   0.032    -.2511482   -.0109971
             |
       _cons |   .3187261    .057531     5.54   0.000     .2055393     .431913
------------------------------------------------------------------------------
(658 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,332         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,332    .2709259    .4709229          0   2.662275
(658 missing values generated)
(658 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,332
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(19, 320)        = 132.66
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9833
                                                    Adj R-squared     = 0.9775
                                                    Root MSE          = 0.0707

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0053187   .0112173     0.47   0.636    -.0167502    .0273876
             |
 scale_group |
          2  |  -.0374428   .0177167    -2.11   0.035    -.0722986   -.0025869
          3  |          0  (omitted)
          4  |   .0181652   .0157695     1.15   0.250    -.0128598    .0491903
          5  |   .0030327    .007825     0.39   0.699    -.0123623    .0184276
          6  |   .0299121   .0253484     1.18   0.239    -.0199585    .0797827
          7  |          0  (empty)
          8  |  -.0214354   .0191527    -1.12   0.264    -.0591166    .0162458
          9  |   .0444952   .0216325     2.06   0.041     .0019352    .0870552
         10  |   -.032747   .0312613    -1.05   0.296    -.0942507    .0287567
         11  |   .0354935   .0156494     2.27   0.024     .0047047    .0662823
         12  |  -.0309532   .0133954    -2.31   0.021    -.0573074    -.004599
             |
  year_group |
          5  |  -.1776723   .0035716   -49.75   0.000     -.184699   -.1706455
          6  |  -.0410134   .0872618    -0.47   0.639    -.2126927    .1306659
          7  |   -.082936   .0452538    -1.83   0.068    -.1719685    .0060965
          8  |  -.0821836   .0427015    -1.92   0.055    -.1661947    .0018275
          9  |  -.0875557   .0414251    -2.11   0.035    -.1690555   -.0060558
         10  |  -.0961765   .0422326    -2.28   0.023    -.1792652   -.0130878
         11  |  -.0991863   .0432691    -2.29   0.023     -.184314   -.0140585
         12  |  -.0902285   .0450458    -2.00   0.046    -.1788517   -.0016052
         13  |  -.1220469   .0438982    -2.78   0.006    -.2084123   -.0356814
             |
       _cons |   .3973366   .0446959     8.89   0.000     .3094017    .4852715
------------------------------------------------------------------------------
(658 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,332         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,332    .2940689    .4647862          0   2.916173
(658 missing values generated)
(658 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,332
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(18, 320)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9382
                                                    Adj R-squared     = 0.9169
                                                    Root MSE          = 0.1345

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0435638   .0285144    -1.53   0.128    -.0996631    .0125355
             |
 scale_group |
          2  |  -.2649364   .1030339    -2.57   0.011    -.4676459   -.0622269
          3  |          0  (omitted)
          4  |  -.0018273   .0223996    -0.08   0.935    -.0458963    .0422418
          5  |  -.0214362   .0150535    -1.42   0.155    -.0510526    .0081801
          6  |  -.0297023   .0396823    -0.75   0.455    -.1077734    .0483689
          7  |          0  (empty)
          8  |  -.0153296   .0297362    -0.52   0.607    -.0738327    .0431736
          9  |  -.0249454   .0417885    -0.60   0.551    -.1071602    .0572695
         10  |  -.0453331    .035361    -1.28   0.201    -.1149024    .0242363
         11  |   -.005996   .0463091    -0.13   0.897    -.0971048    .0851127
         12  |  -.1847426   .0969679    -1.91   0.058    -.3755177    .0060326
             |
  year_group |
          5  |  -.2259429          .        .       .            .           .
          6  |  -.6218303   .1810031    -3.44   0.001    -.9779368   -.2657239
          7  |  -.7100469   .1636219    -4.34   0.000    -1.031957   -.3881363
          8  |   -.704092   .1622746    -4.34   0.000    -1.023352   -.3848321
          9  |  -.6970919   .1581014    -4.41   0.000    -1.008141   -.3860425
         10  |  -.7067878    .159883    -4.42   0.000    -1.021342   -.3922332
         11  |  -.6823925   .1602695    -4.26   0.000    -.9977074   -.3670776
         12  |  -.6709589    .160798    -4.17   0.000    -.9873137   -.3546042
         13  |   -.681549   .1633817    -4.17   0.000    -1.002987   -.3601111
             |
       _cons |   1.059263   .1625767     6.52   0.000     .7394086    1.379117
------------------------------------------------------------------------------
(658 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,332         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,332    .2799878    .4624083          0   2.858521
(658 missing values generated)
(658 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,332
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(19, 320)        =   9.27
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8056
                                                    Adj R-squared     = 0.7383
                                                    Root MSE          = 0.2461

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0404802   .0472593     0.86   0.392    -.0524979    .1334584
             |
 scale_group |
          2  |  -.2116115   .1161112    -1.82   0.069    -.4400493    .0168262
          3  |          0  (omitted)
          4  |   .0509428   .0435789     1.17   0.243    -.0347946    .1366803
          5  |    .070352    .028904     2.43   0.015     .0134862    .1272178
          6  |   .1872178   .0809545     2.31   0.021     .0279475    .3464882
          7  |          0  (empty)
          8  |  -.0290181   .0587975    -0.49   0.622    -.1446965    .0866603
          9  |   .1567898   .0645078     2.43   0.016     .0298769    .2837028
         10  |  -.1001312   .0874284    -1.15   0.253    -.2721383    .0718759
         11  |   .1556395   .0723158     2.15   0.032     .0133651     .297914
         12  |  -.0606293   .1132118    -0.54   0.593    -.2833628    .1621041
             |
  year_group |
          5  |  -.1568602   .0157464    -9.96   0.000    -.1878397   -.1258807
          6  |  -.1468078   .1338248    -1.10   0.273    -.4100954    .1164798
          7  |   -.127981   .1229363    -1.04   0.299    -.3698464    .1138844
          8  |   -.121241   .1019768    -1.19   0.235    -.3218707    .0793887
          9  |    -.19477   .0966967    -2.01   0.045    -.3850116   -.0045284
         10  |  -.1610082   .1016739    -1.58   0.114     -.361042    .0390255
         11  |  -.1647745   .1041279    -1.58   0.115    -.3696363    .0400873
         12  |  -.1090613   .1065884    -1.02   0.307    -.3187639    .1006413
         13  |  -.1558261   .1086228    -1.43   0.152    -.3695311     .057879
             |
       _cons |   .4144112   .1143298     3.62   0.000     .1894781    .6393442
------------------------------------------------------------------------------
(658 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,332         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,332    .3097551    .4776269          0   2.642233

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(718 missing values generated)
(718 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,272
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7574
                                                    Adj R-squared     = 0.6685
                                                    Root MSE          = 0.2303

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0083533   .0466954    -0.18   0.858    -.1002126    .0835059
             |
 scale_group |
          2  |   .1188781     .08557     1.39   0.166    -.0494551    .2872114
          3  |   .0124953   .0848398     0.15   0.883    -.1544015    .1793922
          4  |   .0534323   .0422617     1.26   0.207     -.029705    .1365697
          5  |   -.028385   .0847624    -0.33   0.738    -.1951296    .1383596
          6  |   .0294746   .0848842     0.35   0.729    -.1375096    .1964588
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   -.043747   .0845384    -0.52   0.605    -.2100511     .122557
         10  |   .0408819   .0996977     0.41   0.682    -.1552436    .2370073
         11  |   .1164008   .0710209     1.64   0.102    -.0233116    .2561132
         12  |          0  (omitted)
             |
  year_group |
          5  |   .0638383          .        .       .            .           .
          6  |   -.160758   .1051796    -1.53   0.127    -.3676674    .0461514
          7  |  -.0239401   .1111985    -0.22   0.830      -.24269    .1948097
          8  |   -.024268   .0889132    -0.27   0.785    -.1991781     .150642
          9  |   .0219817   .0809777     0.27   0.786    -.1373177    .1812811
         10  |   .0513663   .0903008     0.57   0.570    -.1262735     .229006
         11  |   .0824705   .0977961     0.84   0.400    -.1099141    .2748551
         12  |   .0983539   .0977208     1.01   0.315    -.0938826    .2905904
         13  |   .0433619    .103827     0.42   0.676    -.1608867    .2476104
             |
       _cons |    .146218   .1028648     1.42   0.156    -.0561377    .3485737
------------------------------------------------------------------------------
(718 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,272         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,272    .2331446    .4124999          0   3.008808
(718 missing values generated)
(718 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,272
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8253
                                                    Adj R-squared     = 0.7613
                                                    Root MSE          = 0.2333

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0367332   .0540021    -0.68   0.497    -.1429662    .0694998
             |
 scale_group |
          2  |   .0710636   .0893562     0.80   0.427     -.104718    .2468451
          3  |          0  (omitted)
          4  |   .1102574   .0484158     2.28   0.023     .0150138     .205501
          5  |   .0811861   .0631711     1.29   0.200    -.0430842    .2054564
          6  |   .0440546   .0785391     0.56   0.575    -.1104475    .1985567
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0908295   .0572187     1.59   0.113    -.0217312    .2033901
         10  |   .1019772   .0572948     1.78   0.076    -.0107333    .2146876
         11  |   .0659817   .0663499     0.99   0.321    -.0645419    .1965053
         12  |   .0160813   .0858897     0.19   0.852     -.152881    .1850436
             |
  year_group |
          5  |  -.4261756   9.76e-08 -4.4e+06   0.000    -.4261758   -.4261754
          6  |  -.3427471   .1968991    -1.74   0.083    -.7300872    .0445929
          7  |  -.4194351   .1206175    -3.48   0.001     -.656714   -.1821561
          8  |  -.3240492   .1124054    -2.88   0.004    -.5451732   -.1029252
          9  |  -.3058653   .1132426    -2.70   0.007    -.5286361   -.0830944
         10  |  -.2305095   .1153112    -2.00   0.046    -.4573497   -.0036693
         11  |  -.1755478   .1266457    -1.39   0.167    -.4246854    .0735897
         12  |  -.2543991    .122659    -2.07   0.039     -.495694   -.0131043
         13  |  -.1071264    .143321    -0.75   0.455    -.3890676    .1748148
             |
       _cons |    .461647    .127352     3.62   0.000     .2111202    .7121739
------------------------------------------------------------------------------
(718 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,272         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,272     .274916    .4749676          0   3.668535
(718 missing values generated)
(718 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,272
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7691
                                                    Adj R-squared     = 0.6844
                                                    Root MSE          = 0.1831

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0256571   .0259955     0.99   0.324    -.0254813    .0767955
             |
 scale_group |
          2  |   .0853074   .0834661     1.02   0.308    -.0788871    .2495019
          3  |  -.0303323   .0770723    -0.39   0.694     -.181949    .1212845
          4  |  -.0370447   .0209185    -1.77   0.078    -.0781957    .0041062
          5  |  -.0699134   .0374966    -1.86   0.063    -.1436767    .0038499
          6  |  -.0875559   .0437616    -2.00   0.046    -.1736437   -.0014681
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0430491   .0626072    -0.69   0.492      -.16621    .0801118
         10  |   .0901829   .0571784     1.58   0.116    -.0222985    .2026644
         11  |  -.0450727   .0352348    -1.28   0.202    -.1143867    .0242412
         12  |          0  (omitted)
             |
  year_group |
          5  |   .0301374          .        .       .            .           .
          6  |  -.3740323   .1147113    -3.26   0.001    -.5996925   -.1483721
          7  |  -.2582188   .0889084    -2.90   0.004    -.4331195   -.0833182
          8  |  -.2954163    .076765    -3.85   0.000    -.4464285   -.1444041
          9  |  -.3460279   .0758471    -4.56   0.000    -.4952343   -.1968215
         10  |  -.3480975    .077901    -4.47   0.000    -.5013444   -.1948506
         11  |  -.3851422   .0784699    -4.91   0.000    -.5395083   -.2307762
         12  |   -.366278   .0799162    -4.58   0.000    -.5234891   -.2090668
         13  |   -.314093   .0810716    -3.87   0.000    -.4735772   -.1546089
             |
       _cons |   .5722462   .0789256     7.25   0.000     .4169837    .7275088
------------------------------------------------------------------------------
(718 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,272         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,272    .2188378    .3401565          0   2.806889
(718 missing values generated)
(718 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,272
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6292
                                                    Adj R-squared     = 0.4932
                                                    Root MSE          = 0.1945

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0038819   .0278186     0.14   0.889     -.050843    .0586067
             |
 scale_group |
          2  |  -.0918279   .2146544    -0.43   0.669    -.5140962    .3304404
          3  |          0  (omitted)
          4  |   .0899519   .0227822     3.95   0.000     .0451348     .134769
          5  |   .1005326   .0437409     2.30   0.022     .0144855    .1865797
          6  |   .0749725    .035856     2.09   0.037     .0044365    .1455085
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0124823   .0432789     0.29   0.773     -.072656    .0976206
         10  |   .0280302     .04635     0.60   0.546    -.0631495    .1192099
         11  |   .1423134   .0390363     3.65   0.000     .0655211    .2191058
         12  |   -.265101   .1981134    -1.34   0.182    -.6548298    .1246279
             |
  year_group |
          5  |  -.0779544   3.80e-08 -2.1e+06   0.000    -.0779545   -.0779543
          6  |   .2440006   .1011679     2.41   0.016      .044983    .4430182
          7  |   .1090388   .1270479     0.86   0.391      -.14089    .3589676
          8  |  -.0082657   .1129008    -0.07   0.942    -.2303643    .2138329
          9  |  -.0099503    .109979    -0.09   0.928    -.2263011    .2064005
         10  |  -.0256212   .1107781    -0.23   0.817    -.2435441    .1923016
         11  |    .020153   .1118525     0.18   0.857    -.1998833    .2401893
         12  |  -.0102457   .1120831    -0.09   0.927    -.2307356    .2102442
         13  |  -.0136732   .1120783    -0.12   0.903    -.2341537    .2068074
             |
       _cons |   .1058739   .1244067     0.85   0.395    -.1388591    .3506068
------------------------------------------------------------------------------
(718 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,272         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,272     .141147    .2925113          0   2.614096
(718 missing values generated)
(718 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,272
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7866
                                                    Adj R-squared     = 0.7084
                                                    Root MSE          = 0.2414

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0251167   .0366463     0.69   0.494    -.0469739    .0972073
             |
 scale_group |
          2  |   -.180426   .1170063    -1.54   0.124    -.4106008    .0497488
          3  |          0  (omitted)
          4  |  -.0305484   .0316463    -0.97   0.335    -.0928029    .0317062
          5  |  -.0002501   .0566388    -0.00   0.996    -.1116699    .1111697
          6  |  -.1148006   .0647664    -1.77   0.077    -.2422091    .0126079
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0004075   .0791039     0.01   0.996    -.1552059    .1560208
         10  |  -.1628095   .0713669    -2.28   0.023    -.3032025   -.0224165
         11  |  -.0895783   .0500196    -1.79   0.074     -.187977    .0088203
         12  |  -.1268895   .1194671    -1.06   0.289    -.3619053    .1081263
             |
  year_group |
          5  |   .2515035          .        .       .            .           .
          6  |   .5505693   .2078748     2.65   0.008     .1416378    .9595007
          7  |   .1233354   .1208321     1.02   0.308    -.1143655    .3610363
          8  |   .2653023   .1084175     2.45   0.015     .0520233    .4785813
          9  |   .2845148   .0967797     2.94   0.004     .0941296    .4748999
         10  |   .2233169   .1046004     2.13   0.034     .0175469    .4290869
         11  |   .1340321   .1054771     1.27   0.205    -.0734624    .3415267
         12  |   .1474786     .10706     1.38   0.169    -.0631299    .3580871
         13  |   .1427725   .1082586     1.32   0.188    -.0701938    .3557389
             |
       _cons |    .109143   .1074529     1.02   0.311    -.1022384    .3205243
------------------------------------------------------------------------------
(718 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,272         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,272    .2613585    .4538029          0   2.904758
(718 missing values generated)
(718 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,272
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9776
                                                    Adj R-squared     = 0.9693
                                                    Root MSE          = 0.0864

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0156495   .0146342    -1.07   0.286    -.0444379     .013139
             |
 scale_group |
          2  |   .0118382   .0217632     0.54   0.587    -.0309743    .0546507
          3  |  -.0033004   .0157308    -0.21   0.834     -.034246    .0276452
          4  |   .0022049   .0167526     0.13   0.895    -.0307509    .0351606
          5  |  -.0206323   .0245823    -0.84   0.402    -.0689905     .027726
          6  |  -.0020244   .0388051    -0.05   0.958    -.0783617     .074313
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0274411   .0250174     1.10   0.273     -.021773    .0766553
         10  |  -.0418336   .0382092    -1.09   0.274    -.1169988    .0333316
         11  |   .0018549   .0227984     0.08   0.935     -.042994    .0467039
         12  |          0  (omitted)
             |
  year_group |
          5  |  -.0811185          .        .       .            .           .
          6  |   .1650527   .0944674     1.75   0.082    -.0207837     .350889
          7  |    .006968   .0511222     0.14   0.892    -.0935996    .1075356
          8  |   .0094774   .0480358     0.20   0.844    -.0850186    .1039734
          9  |   .0087317   .0472166     0.18   0.853    -.0841528    .1016162
         10  |  -.0066765   .0490589    -0.14   0.892    -.1031852    .0898322
         11  |  -.0043724   .0541481    -0.08   0.936    -.1108925    .1021478
         12  |  -.0180113   .0511763    -0.35   0.725    -.1186854    .0826627
         13  |   .0167423   .0553041     0.30   0.762    -.0920519    .1255366
             |
       _cons |   .3157901   .0525132     6.01   0.000      .212486    .4190941
------------------------------------------------------------------------------
(718 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,272         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,272    .3031871    .4918322          0   3.171712
(718 missing values generated)
(718 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,272
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9441
                                                    Adj R-squared     = 0.9236
                                                    Root MSE          = 0.1352

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0212442   .0242092    -0.88   0.381    -.0688686    .0263801
             |
 scale_group |
          2  |  -.0228912   .0577911    -0.40   0.692     -.136578    .0907956
          3  |     .15588   .0670317     2.33   0.021     .0240153    .2877448
          4  |   .0387869   .0205188     1.89   0.060    -.0015776    .0791514
          5  |   .0410628   .0291009     1.41   0.159    -.0161846    .0983102
          6  |   .0585762   .0343571     1.70   0.089     -.009011    .1261635
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0037445   .0323531     0.12   0.908    -.0599005    .0673896
         10  |   .0231002   .0308112     0.75   0.454    -.0375116    .0837119
         11  |   .0706901    .042991     1.64   0.101    -.0138819    .1552622
         12  |          0  (omitted)
             |
  year_group |
          5  |  -.1841499          .        .       .            .           .
          6  |  -.7977037   .1873376    -4.26   0.000    -1.166234   -.4291731
          7  |   -1.09559   .2424434    -4.52   0.000    -1.572525   -.6186551
          8  |  -1.065465   .2485481    -4.29   0.000    -1.554409   -.5765209
          9  |  -1.081502   .2433061    -4.45   0.000    -1.560134   -.6028704
         10  |  -1.068409   .2446026    -4.37   0.000    -1.549591   -.5872262
         11  |  -1.029622   .2447042    -4.21   0.000    -1.511004   -.5482394
         12  |  -1.059549   .2451483    -4.32   0.000    -1.541805   -.5772934
         13  |  -1.057928   .2466938    -4.29   0.000    -1.543224   -.5726317
             |
       _cons |   1.331734   .2418741     5.51   0.000     .8559186    1.807548
------------------------------------------------------------------------------
(718 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,272         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,272    .2954085    .4887655          0   3.334906
(718 missing values generated)
(718 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,272
Absorbed variable: factor_pair                      No. of categories =    324
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8232
                                                    Adj R-squared     = 0.7584
                                                    Root MSE          = 0.2427

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0592247    .045875     1.29   0.198    -.0310206      .14947
             |
 scale_group |
          2  |  -.0757545   .0448658    -1.69   0.092    -.1640144    .0125055
          3  |     .13171   .1070699     1.23   0.220    -.0789181    .3423381
          4  |   .1025232   .0313763     3.27   0.001     .0407997    .1642466
          5  |   .0707026   .0538127     1.31   0.190    -.0351578    .1765631
          6  |   .1298803   .0660089     1.97   0.050     .0000276    .2597331
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0840695   .0720976     1.17   0.244    -.0577609    .2258999
         10  |   .0212373   .0597186     0.36   0.722    -.0962413    .1387158
         11  |   .1584985   .0597374     2.65   0.008     .0409831    .2760139
         12  |          0  (omitted)
             |
  year_group |
          5  |   .0417989          .        .       .            .           .
          6  |   .1496101   .1096609     1.36   0.173    -.0661149     .365335
          7  |  -.0452775   .1514856    -0.30   0.765      -.34328     .252725
          8  |  -.0926389   .1432053    -0.65   0.518    -.3743524    .1890746
          9  |  -.0872844    .134686    -0.65   0.517    -.3522388    .1776701
         10  |  -.0757704   .1387695    -0.55   0.585    -.3487579     .197217
         11  |  -.0820349   .1393657    -0.59   0.557    -.3561952    .1921254
         12  |   -.119085    .140924    -0.85   0.399    -.3963108    .1581407
         13  |  -.0352005   .1440118    -0.24   0.807    -.3185007    .2480997
             |
       _cons |    .316284   .1413957     2.24   0.026     .0381302    .5944378
------------------------------------------------------------------------------
(718 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,272         785           0        785        785

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,272    .3331214    .4900431          0   2.757871

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 325)        =   3.20
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7532
                                                    Adj R-squared     = 0.6708
                                                    Root MSE          = 0.2359

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0175833   .0538006    -0.33   0.744    -.1234248    .0882581
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0793073   .0665042    -1.19   0.234    -.2101404    .0515258
          4  |   -.047466   .0967294    -0.49   0.624    -.2377609    .1428288
          5  |  -.1459326   .0906454    -1.61   0.108    -.3242584    .0323932
          6  |  -.0783966   .0822907    -0.95   0.341    -.2402863    .0834931
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   -.130265    .098174    -1.33   0.185    -.3234018    .0628717
         10  |          0  (empty)
         11  |    .008132   .0853505     0.10   0.924    -.1597771    .1760412
         12  |  -.0028967    .038456    -0.08   0.940    -.0785508    .0727574
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2614242   .2561932    -1.02   0.308    -.7654306    .2425822
          7  |   .0583173   .1367613     0.43   0.670    -.2107318    .3273665
          8  |   .0475318   .1073512     0.44   0.658    -.1636592    .2587228
          9  |    .064727   .1078954     0.60   0.549    -.1475346    .2769886
         10  |   .1061195   .1128005     0.94   0.348    -.1157918    .3280309
         11  |   .2154852   .1171791     1.84   0.067    -.0150401    .4460106
         12  |   .2047623   .1173863     1.74   0.082    -.0261705    .4356951
         13  |   .2084846   .1205693     1.73   0.085    -.0287103    .4456794
             |
       _cons |   .1328242    .127268     1.04   0.297    -.1175488    .3831973
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,264    .2106189    .4034835          0    3.12282
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 325)        =  15.53
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8408
                                                    Adj R-squared     = 0.7877
                                                    Root MSE          = 0.2054

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0346025   .0545745    -0.63   0.526    -.1419665    .0727614
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0449381   .0553889    -0.81   0.418    -.1539042     .064028
          4  |   .0250247   .0300807     0.83   0.406    -.0341528    .0842022
          5  |  -.0453204    .030969    -1.46   0.144    -.1062454    .0156047
          6  |  -.0225878   .0561526    -0.40   0.688    -.1330563    .0878807
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0159718    .032672     0.49   0.625    -.0483034    .0802471
         10  |          0  (empty)
         11  |   .0012119   .0490618     0.02   0.980    -.0953069    .0977307
         12  |   .0100871    .030323     0.33   0.740    -.0495671    .0697414
             |
  year_group |
          5  |          0  (empty)
          6  |  -.4957089   .0551344    -8.99   0.000    -.6041743   -.3872435
          7  |  -.4784588    .042413   -11.28   0.000    -.5618975   -.3950201
          8  |  -.3969884   .0333139   -11.92   0.000    -.4625265   -.3314502
          9  |  -.3956463   .0303896   -13.02   0.000    -.4554315   -.3358611
         10  |  -.2880324   .0347116    -8.30   0.000    -.3563201   -.2197447
         11  |  -.2675591   .0435112    -6.15   0.000    -.3531582   -.1819599
         12  |   -.359725    .041757    -8.61   0.000    -.4418732   -.2775768
         13  |  -.2919959   .0701009    -4.17   0.000    -.4299046   -.1540872
             |
       _cons |   .5931342   .0440262    13.47   0.000      .506522    .6797465
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,264    .2356797    .4409649          0   3.576817
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 325)        =   2.23
                                                    Prob > F          = 0.0045
                                                    R-squared         = 0.7297
                                                    Adj R-squared     = 0.6395
                                                    Root MSE          = 0.2315

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.021633   .0361309    -0.60   0.550    -.0927128    .0494469
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0288148   .0777031     0.37   0.711    -.1240496    .1816793
          4  |   .1596353    .038273     4.17   0.000     .0843412    .2349294
          5  |    .091134   .0342693     2.66   0.008     .0237164    .1585517
          6  |    .085655   .0450357     1.90   0.058    -.0029432    .1742532
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .1327581   .0523514     2.54   0.012     .0297678    .2357485
         10  |          0  (empty)
         11  |    .136119   .0414666     3.28   0.001     .0545422    .2176959
         12  |  -.0307147   .0481023    -0.64   0.524     -.125346    .0639165
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0865888   .1239524    -0.70   0.485    -.3304391    .1572616
          7  |   .0027014   .0907074     0.03   0.976    -.1757465    .1811492
          8  |   -.054233   .0782276    -0.69   0.489    -.2081295    .0996635
          9  |  -.0582841   .0735184    -0.79   0.428    -.2029162     .086348
         10  |  -.0618091    .075868    -0.81   0.416    -.2110635    .0874454
         11  |  -.1095797   .0778992    -1.41   0.160    -.2628299    .0436706
         12  |  -.0919271   .0811249    -1.13   0.258    -.2515233    .0676691
         13  |  -.1001881   .0795875    -1.26   0.209    -.2567597    .0563836
             |
       _cons |   .2403432   .0773695     3.11   0.002     .0881349    .3925516
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,264    .2753816    .4344175          0   3.275571
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 325)        =   1.82
                                                    Prob > F          = 0.0276
                                                    R-squared         = 0.5170
                                                    Adj R-squared     = 0.3559
                                                    Root MSE          = 0.2363

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0537508   .0427049    -1.26   0.209    -.1377637    .0302621
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0610059   .1531518     0.40   0.691    -.2402881    .3622998
          4  |   .1650974   .0611649     2.70   0.007     .0447682    .2854265
          5  |   .1741296   .0552632     3.15   0.002     .0654109    .2828484
          6  |   .2346895   .0667411     3.52   0.000     .1033905    .3659886
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0446074   .0632175     0.71   0.481    -.0797597    .1689745
         10  |          0  (empty)
         11  |   .2044358   .0600959     3.40   0.001     .0862097    .3226619
         12  |  -.0260787   .0452097    -0.58   0.564    -.1150193    .0628619
             |
  year_group |
          5  |          0  (empty)
          6  |   .1713625   .1391976     1.23   0.219    -.1024795    .4452045
          7  |   .2674071   .1335846     2.00   0.046     .0046073    .5302068
          8  |   .1368124   .1000462     1.37   0.172    -.0600075    .3336322
          9  |   .0551172   .0987597     0.56   0.577    -.1391718    .2494062
         10  |   .0853677   .0985368     0.87   0.387    -.1084829    .2792182
         11  |    .096357   .1019084     0.95   0.345    -.1041263    .2968404
         12  |    .104856   .1010178     1.04   0.300    -.0938753    .3035874
         13  |   .0978748   .1028585     0.95   0.342    -.1044778    .3002273
             |
       _cons |  -.0646055   .1068975    -0.60   0.546    -.2749039    .1456929
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,264    .1186468    .2751391          0   2.588906
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 325)        =   3.50
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7711
                                                    Adj R-squared     = 0.6947
                                                    Root MSE          = 0.2542

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0795411   .0527604     1.51   0.133     -.024254    .1833362
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0994929   .0835407     1.19   0.235    -.0648558    .2638417
          4  |  -.1232499   .0578066    -2.13   0.034    -.2369722   -.0095276
          5  |  -.0528817   .0653611    -0.81   0.419     -.181466    .0757026
          6  |  -.2185666    .083463    -2.62   0.009    -.3827624   -.0543707
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |  -.0379747   .0824534    -0.46   0.645    -.2001844    .1242351
         10  |          0  (empty)
         11  |  -.1884147   .0576802    -3.27   0.001    -.3018883   -.0749411
         12  |  -.0088819   .0518131    -0.17   0.864    -.1108133    .0930494
             |
  year_group |
          5  |          0  (empty)
          6  |   .0088347   .1257892     0.07   0.944    -.2386292    .2562986
          7  |   .0416801   .1457274     0.29   0.775    -.2450081    .3283683
          8  |   .0781755   .1266179     0.62   0.537    -.1709186    .3272696
          9  |   .1575492   .1164725     1.35   0.177     -.071586    .3866844
         10  |   .0164077   .1189958     0.14   0.890    -.2176916     .250507
         11  |  -.0775148   .1225462    -0.63   0.527    -.3185987    .1635691
         12  |  -.0752662   .1230976    -0.61   0.541    -.3174349    .1669025
         13  |  -.0030259   .1246107    -0.02   0.981    -.2481712    .2421194
             |
       _cons |   .3033672   .1213009     2.50   0.013     .0647331    .5420013
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,264    .2589894    .4653893          0   3.029918
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 325)        =   1.62
                                                    Prob > F          = 0.0616
                                                    R-squared         = 0.9722
                                                    Adj R-squared     = 0.9629
                                                    Root MSE          = 0.0913

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .020509   .0200091     1.02   0.306    -.0188546    .0598726
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0193334   .0307922     0.63   0.531    -.0412438    .0799105
          4  |    .025313   .0233222     1.09   0.279    -.0205687    .0711946
          5  |   .0054834   .0252135     0.22   0.828     -.044119    .0550857
          6  |   .0389766   .0434097     0.90   0.370    -.0464228     .124376
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0179715    .027741     0.65   0.518     -.036603    .0725461
         10  |          0  (empty)
         11  |   .0119941   .0228953     0.52   0.601    -.0330475    .0570358
         12  |   .0314163   .0239806     1.31   0.191    -.0157604     .078593
             |
  year_group |
          5  |          0  (empty)
          6  |   .0746835   .1402465     0.53   0.595     -.201222    .3505891
          7  |  -.0838562    .031054    -2.70   0.007    -.1449485   -.0227639
          8  |  -.0655193   .0290605    -2.25   0.025    -.1226897   -.0083489
          9  |  -.0684146   .0281412    -2.43   0.016    -.1237766   -.0130526
         10  |  -.0941698   .0290306    -3.24   0.001    -.1512814   -.0370582
         11  |  -.0649007   .0335065    -1.94   0.054    -.1308178    .0010163
         12  |  -.0948178   .0304984    -3.11   0.002    -.1548169   -.0348186
         13  |  -.0783516   .0340052    -2.30   0.022    -.1452498   -.0114535
             |
       _cons |   .3611538   .0322778    11.19   0.000      .297654    .4246535
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,264    .2962471    .4647059          0   2.796634
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 325)        =   2.55
                                                    Prob > F          = 0.0010
                                                    R-squared         = 0.9264
                                                    Adj R-squared     = 0.9018
                                                    Root MSE          = 0.1487

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0161366   .0353804    -0.46   0.649      -.08574    .0534669
             |
 scale_group |
          2  |   .0640715   .1237368     0.52   0.605    -.1793547    .3074977
          3  |          0  (omitted)
          4  |  -.0030663   .0333633    -0.09   0.927    -.0687016     .062569
          5  |  -.0218057   .0286647    -0.76   0.447    -.0781974     .034586
          6  |   -.015899   .0367117    -0.43   0.665    -.0881216    .0563236
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |  -.0261238   .0397677    -0.66   0.512    -.1043584    .0521108
         10  |          0  (empty)
         11  |  -.0264051    .040378    -0.65   0.514    -.1058402    .0530301
         12  |  -.0275431   .0839653    -0.33   0.743    -.1927273     .137641
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5804557   .2211915    -2.62   0.009    -1.015604   -.1453078
          7  |  -.7767729   .1492543    -5.20   0.000    -1.070399   -.4831464
          8  |  -.7539956   .1454522    -5.18   0.000    -1.040142   -.4678488
          9  |  -.7383682   .1434879    -5.15   0.000     -1.02065   -.4560859
         10  |  -.7517908   .1410865    -5.33   0.000    -1.029349   -.4742328
         11  |  -.7098937   .1446004    -4.91   0.000    -.9943647   -.4254227
         12  |    -.70423    .144086    -4.89   0.000     -.987689   -.4207711
         13  |  -.7066406   .1471045    -4.80   0.000    -.9960379   -.4172433
             |
       _cons |    1.04124   .1419509     7.34   0.000     .7619816    1.320499
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,264    .2915047    .4682224          0   2.822855
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 325)        =   1.98
                                                    Prob > F          = 0.0142
                                                    R-squared         = 0.8430
                                                    Adj R-squared     = 0.7906
                                                    Root MSE          = 0.2237

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0200051   .0433965    -0.46   0.645    -.1053785    .0653684
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0362718   .1167837     0.31   0.756    -.1934756    .2660192
          4  |   .0377285   .0521269     0.72   0.470    -.0648202    .1402771
          5  |   .0597453   .0545946     1.09   0.275    -.0476581    .1671487
          6  |   .0505075   .0625007     0.81   0.420    -.0724495    .1734644
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0578379   .0653476     0.89   0.377    -.0707198    .1863956
         10  |          0  (empty)
         11  |   .0325884   .0537922     0.61   0.545    -.0732364    .1384133
         12  |   .0872202   .0435478     2.00   0.046     .0015489    .1728914
             |
  year_group |
          5  |          0  (empty)
          6  |  -.4216877   .2138475    -1.97   0.049    -.8423879   -.0009876
          7  |  -.2771352   .1426626    -1.94   0.053    -.5577938    .0035235
          8  |  -.2563538   .1131478    -2.27   0.024    -.4789484   -.0337592
          9  |  -.3632134   .1102552    -3.29   0.001    -.5801173   -.1463095
         10  |  -.2683083   .1114127    -2.41   0.017    -.4874895   -.0491272
         11  |  -.3128764   .1133815    -2.76   0.006    -.5359307   -.0898222
         12  |  -.3362119   .1131793    -2.97   0.003    -.5588685   -.1135553
         13  |  -.2519113   .1151578    -2.19   0.029    -.4784601   -.0253625
             |
       _cons |   .5813801   .1147512     5.07   0.000     .3556313     .807129
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,264    .3125324    .4870987          0   2.635098

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7891
                                                    Adj R-squared     = 0.7157
                                                    Root MSE          = 0.2298

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0108882   .0616024     0.18   0.860    -.1103001    .1320765
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1423088   .0750795     1.90   0.059    -.0053927    .2900103
          4  |    .085321   .0466747     1.83   0.068    -.0065006    .1771426
          5  |   .0010252   .0856129     0.01   0.990    -.1673984    .1694487
          6  |   .0361209   .0861748     0.42   0.675    -.1334079    .2056498
          7  |   .1453779   .0940599     1.55   0.123    -.0396631    .3304189
          8  |          0  (empty)
          9  |  -.0416888   .0908252    -0.46   0.647    -.2203664    .1369887
         10  |   .0754378   .0931803     0.81   0.419    -.1078728    .2587484
         11  |   .1957909   .0677434     2.89   0.004     .0625215    .3290603
         12  |   .0893342   .0468798     1.91   0.058    -.0028908    .1815593
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |          0  (omitted)
          7  |   .3160875    .127355     2.48   0.014     .0655462    .5666288
          8  |   .2504357   .1231353     2.03   0.043     .0081956    .4926758
          9  |   .3006707   .1269257     2.37   0.018     .0509739    .5503676
         10  |   .3182898   .1210321     2.63   0.009     .0801872    .5563923
         11  |   .3802538   .1227716     3.10   0.002     .1387292    .6217784
         12  |   .3729057   .1188953     3.14   0.002     .1390068    .6068046
         13  |   .3956588   .1206266     3.28   0.001      .158354    .6329636
             |
       _cons |  -.1840351   .1197161    -1.54   0.125    -.4195487    .0514786
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         782           0        782        782

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,284    .2349761    .4346828          0   3.618275
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8368
                                                    Adj R-squared     = 0.7800
                                                    Root MSE          = 0.2178

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0068721   .0442704     0.16   0.877    -.0802196    .0939638
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0711543   .0449683     1.58   0.115    -.0173103     .159619
          4  |    .038585   .0398893     0.97   0.334    -.0398879    .1170579
          5  |  -.0170132   .0426683    -0.40   0.690    -.1009531    .0669268
          6  |   .0344835    .057577     0.60   0.550    -.0787859    .1477529
          7  |   .0171885   .0562561     0.31   0.760    -.0934824    .1278594
          8  |          0  (empty)
          9  |   .0031614   .0480645     0.07   0.948    -.0913943     .097717
         10  |   .0418406   .0470215     0.89   0.374    -.0506632    .1343444
         11  |    .041988   .0440834     0.95   0.342    -.0447359    .1287119
         12  |   .0584841   .0393385     1.49   0.138    -.0189052    .1358734
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |          0  (omitted)
          7  |  -.0176433   .1123353    -0.16   0.875    -.2386369    .2033504
          8  |     .03594   .1109706     0.32   0.746    -.1823689    .2542489
          9  |   .0565082   .1057553     0.53   0.593    -.1515409    .2645572
         10  |   .1245972   .1065715     1.17   0.243    -.0850574    .3342518
         11  |   .1567762   .1125082     1.39   0.164    -.0645575    .3781099
         12  |   .0858799    .105363     0.82   0.416    -.1213973    .2931571
         13  |    .124474   .1102288     1.13   0.260    -.0923757    .3413236
             |
       _cons |    .116888   .1092022     1.07   0.285     -.097942    .3317179
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         782           0        782        782

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,284    .2409059    .4607481          0   3.307301
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7945
                                                    Adj R-squared     = 0.7231
                                                    Root MSE          = 0.1978

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0317698   .0386516     0.82   0.412    -.0442683    .1078079
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2031784    .072572     2.80   0.005     .0604099    .3459468
          4  |  -.0802792   .0303048    -2.65   0.008    -.1398969   -.0206615
          5  |  -.1054957   .0461723    -2.28   0.023    -.1963289   -.0146625
          6  |  -.1024651   .0494115    -2.07   0.039    -.1996707   -.0052596
          7  |  -.1655607   .0591835    -2.80   0.005    -.2819906   -.0491309
          8  |          0  (empty)
          9  |   -.102558   .0512709    -2.00   0.046    -.2034216   -.0016943
         10  |   .0630089   .0476919     1.32   0.187    -.0308138    .1568315
         11  |  -.0918942   .0400769    -2.29   0.022    -.1707362   -.0130521
         12  |    .131508   .0490309     2.68   0.008     .0350512    .2279648
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |          0  (omitted)
          7  |  -.0629775   .1894173    -0.33   0.740     -.435612     .309657
          8  |   .0326609   .1985782     0.16   0.869    -.3579954    .4233173
          9  |  -.0775607   .1979022    -0.39   0.695    -.4668873    .3117659
         10  |  -.0157607   .1950136    -0.08   0.936    -.3994046    .3678832
         11  |  -.0960399   .1930156    -0.50   0.619    -.4757532    .2836733
         12  |  -.0735271   .1923479    -0.38   0.703    -.4519268    .3048727
         13  |  -.0226162   .1890231    -0.12   0.905    -.3944753    .3492428
             |
       _cons |   .3056714   .1917635     1.59   0.112    -.0715786    .6829215
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         782           0        782        782

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,284    .2438868    .3999966          0   3.011946
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5876
                                                    Adj R-squared     = 0.4442
                                                    Root MSE          = 0.1989

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0411915   .0368039    -1.12   0.264    -.1135948    .0312117
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .132549   .1642791     0.81   0.420    -.1906319    .4557298
          4  |   .0433878   .0315856     1.37   0.170    -.0187495    .1055252
          5  |   .0641428   .0519841     1.23   0.218    -.0381237    .1664094
          6  |    .005393   .0504721     0.11   0.915    -.0938991    .1046851
          7  |  -.0479508   .0611226    -0.78   0.433    -.1681954    .0722938
          8  |          0  (empty)
          9  |  -.0192374   .0465139    -0.41   0.679    -.1107428     .072268
         10  |   .0060135   .0360675     0.17   0.868    -.0649408    .0769679
         11  |   .0737023   .0439482     1.68   0.094    -.0127556    .1601602
         12  |  -.0387531    .032136    -1.21   0.229    -.1019731    .0244669
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |          0  (omitted)
          7  |   -.199572   .1374614    -1.45   0.148    -.4699953    .0708512
          8  |  -.2216094   .1489036    -1.49   0.138    -.5145427    .0713238
          9  |  -.2517962   .1424172    -1.77   0.078     -.531969    .0283766
         10  |  -.2513912   .1432982    -1.75   0.080    -.5332972    .0305147
         11  |  -.2373048   .1435137    -1.65   0.099    -.5196347    .0450251
         12  |  -.2616457   .1420357    -1.84   0.066    -.5410679    .0177764
         13  |  -.2636068   .1414634    -1.86   0.063    -.5419032    .0146895
             |
       _cons |   .3648553    .147201     2.48   0.014     .0752716    .6544389
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         782           0        782        782

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,284    .1254397    .2647777          0    2.67346
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7731
                                                    Adj R-squared     = 0.6942
                                                    Root MSE          = 0.2715

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0420636    .049827     0.84   0.399    -.0559595    .1400867
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0279463    .089827     0.31   0.756    -.1487674    .2046601
          4  |  -.0721564   .0448252    -1.61   0.108    -.1603396    .0160267
          5  |    -.03867    .068352    -0.57   0.572    -.1731367    .0957967
          6  |  -.1474899   .0715907    -2.06   0.040     -.288328   -.0066518
          7  |  -.0604421    .085477    -0.71   0.480    -.2285982     .107714
          8  |          0  (empty)
          9  |    .069317   .0871343     0.80   0.427    -.1020994    .2407334
         10  |  -.1404454   .0842999    -1.67   0.097    -.3062859    .0253951
         11  |  -.1454094   .0562288    -2.59   0.010    -.2560266   -.0347923
         12  |   .0379855   .0721083     0.53   0.599    -.1038707    .1798418
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |          0  (omitted)
          7  |  -.4185578   .4272021    -0.98   0.328    -1.258979    .4218629
          8  |  -.4108509   .4106864    -1.00   0.318    -1.218781    .3970791
          9  |  -.3981297   .4077713    -0.98   0.330    -1.200325    .4040655
         10  |  -.4546571   .4060238    -1.12   0.264    -1.253415    .3441003
         11  |  -.5828756   .4044872    -1.44   0.151     -1.37861    .2128588
         12  |  -.5918545   .4045505    -1.46   0.144    -1.387714    .2040045
         13  |  -.5505616   .4033762    -1.36   0.173    -1.344111    .2429873
             |
       _cons |   .8033036   .4008504     2.00   0.046     .0147236    1.591884
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         782           0        782        782

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,284    .2761962    .4865253          0   3.796682
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9756
                                                    Adj R-squared     = 0.9672
                                                    Root MSE          = 0.0950

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0149327   .0183121     0.82   0.415    -.0210922    .0509576
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0169995   .0204779    -0.83   0.407     -.057285    .0232861
          4  |   .0157101   .0173527     0.91   0.366    -.0184273    .0498476
          5  |    .005427   .0226294     0.24   0.811    -.0390909     .049945
          6  |  -.0120327   .0318136    -0.38   0.706    -.0746186    .0505532
          7  |   -.037485   .0304332    -1.23   0.219    -.0973553    .0223853
          8  |          0  (empty)
          9  |    .047045   .0264274     1.78   0.076    -.0049447    .0990347
         10  |  -.1144495    .070978    -1.61   0.108    -.2540823    .0251832
         11  |   .0302059   .0267315     1.13   0.259    -.0223821    .0827939
         12  |   -.017154   .0169596    -1.01   0.313    -.0505181    .0162101
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |          0  (omitted)
          7  |  -.1383542   .1173015    -1.18   0.239    -.3691175    .0924092
          8  |  -.1340417   .1125549    -1.19   0.235    -.3554673    .0873839
          9  |  -.1248267   .1146335    -1.09   0.277    -.3503415    .1006882
         10  |  -.1414591   .1138497    -1.24   0.215     -.365432    .0825138
         11  |  -.1305073   .1157594    -1.13   0.260    -.3582369    .0972223
         12  |  -.1138089   .1144331    -0.99   0.321    -.3389294    .1113117
         13  |  -.1311462   .1145744    -1.14   0.253    -.3565447    .0942523
             |
       _cons |   .4327878   .1126158     3.84   0.000     .2112424    .6543332
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         782           0        782        782

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,284    .3070276    .5115034          0   2.651416
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9637
                                                    Adj R-squared     = 0.9511
                                                    Root MSE          = 0.1128

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0413055   .0225154    -1.83   0.067    -.0855992    .0029883
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1021946   .0813043     1.26   0.210    -.0577526    .2621418
          4  |    .026393   .0223573     1.18   0.239    -.0175898    .0703757
          5  |   .0177793   .0322119     0.55   0.581    -.0455902    .0811488
          6  |   .0392054   .0304214     1.29   0.198    -.0206415    .0990524
          7  |   .0127758   .0358362     0.36   0.722    -.0577236    .0832752
          8  |          0  (empty)
          9  |    .052564   .0306633     1.71   0.087    -.0077589     .112887
         10  |    .005938   .0238259     0.25   0.803    -.0409339      .05281
         11  |   .0115561   .0400611     0.29   0.773    -.0672547     .090367
         12  |   .0376508   .0460431     0.82   0.414    -.0529283    .1282298
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |          0  (omitted)
          7  |   .0460315    .072614     0.63   0.527    -.0968197    .1888826
          8  |   .0706159   .0730907     0.97   0.335    -.0731731    .2144049
          9  |   .0714429   .0728726     0.98   0.328    -.0719169    .2148028
         10  |   .0916677   .0731053     1.25   0.211    -.0521499    .2354853
         11  |   .1180606   .0733672     1.61   0.109    -.0262723    .2623936
         12  |   .1012988   .0723709     1.40   0.163    -.0410742    .2436717
         13  |   .1042302   .0727895     1.43   0.153    -.0389662    .2474265
             |
       _cons |   .2093229   .0753691     2.78   0.006     .0610518    .3575941
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         782           0        782        782

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,284    .2971143    .5008624          0   2.817474
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 6.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8124
                                                    Adj R-squared     = 0.7471
                                                    Root MSE          = 0.2580

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0285141   .0521642     0.55   0.585    -.0741069     .131135
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2688756   .1420039     1.89   0.059    -.0104841    .5482352
          4  |  -.0180776    .038499    -0.47   0.639    -.0938155    .0576603
          5  |  -.0146845   .0590296    -0.25   0.804    -.1308115    .1014425
          6  |   .0339258   .0666925     0.51   0.611    -.0972762    .1651278
          7  |  -.0626675   .0683439    -0.92   0.360    -.1971182    .0717831
          8  |          0  (empty)
          9  |   .1571936   .0769356     2.04   0.042     .0058408    .3085465
         10  |  -.1167034   .0563404    -2.07   0.039      -.22754   -.0058669
         11  |   -.006827   .0552414    -0.12   0.902    -.1155016    .1018475
         12  |   .1022103    .051456     1.99   0.048     .0009826    .2034379
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |          0  (omitted)
          7  |  -.2983824   .2930282    -1.02   0.309    -.8748473    .2780824
          8  |  -.2974874   .3020568    -0.98   0.325    -.8917139     .296739
          9  |  -.3045022   .2961311    -1.03   0.305    -.8870712    .2780668
         10  |   -.258649   .2967481    -0.87   0.384     -.842432    .3251339
         11  |  -.3024297   .2958029    -1.02   0.307    -.8843531    .2794938
         12  |  -.2758556      .2948    -0.94   0.350     -.855806    .3040948
         13  |  -.2699651   .2936834    -0.92   0.359    -.8477189    .3077887
             |
       _cons |   .5781275   .2935607     1.97   0.050     .0006151     1.15564
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         782           0        782        782

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,284    .3274851    .5026829          0   3.056581

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7617
                                                    Adj R-squared     = 0.6766
                                                    Root MSE          = 0.2076

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0153798   .0547904     0.28   0.779    -.0924114    .1231709
             |
 scale_group |
          2  |   .1006921   .0563419     1.79   0.075    -.0101512    .2115355
          3  |          0  (omitted)
          4  |   .1199922   .0488003     2.46   0.014     .0239857    .2159987
          5  |   .0196391   .0271224     0.72   0.470    -.0337197     .072998
          6  |   .0624716   .0643724     0.97   0.333    -.0641705    .1891137
          7  |   .1663561   .0781356     2.13   0.034     .0126372     .320075
          8  |   .1711027   .0781356     2.19   0.029     .0173838    .3248215
          9  |   .0886968   .0566058     1.57   0.118    -.0226658    .2000594
         10  |          0  (empty)
         11  |   .1744951   .0537357     3.25   0.001      .068779    .2802112
         12  |      .1148   .0548076     2.09   0.037     .0069751    .2226249
             |
  year_group |
          5  |   .0472194   .0011126    42.44   0.000     .0450306    .0494081
          6  |  -.1440822   .0885218    -1.63   0.105    -.3182344    .0300699
          7  |   .0720687   .1394405     0.52   0.606    -.2022577     .346395
          8  |     .06912   .1138643     0.61   0.544    -.1548894    .2931294
          9  |   .1119629   .1170181     0.96   0.339    -.1182509    .3421767
         10  |   .1297527   .1190877     1.09   0.277    -.1045327    .3640382
         11  |   .1474872     .12949     1.14   0.256    -.1072631    .4022375
         12  |   .1460068   .1231405     1.19   0.237    -.0962518    .3882654
         13  |   .1375423   .1247674     1.10   0.271    -.1079171    .3830017
             |
       _cons |  -.0319262    .124612    -0.26   0.798    -.2770798    .2132273
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,282    .1912337    .3556656          0   2.749302
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8331
                                                    Adj R-squared     = 0.7735
                                                    Root MSE          = 0.1947

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0452272   .0529495    -0.85   0.394    -.1493967    .0589423
             |
 scale_group |
          2  |   .1461165   .0599283     2.44   0.015     .0282174    .2640157
          3  |          0  (omitted)
          4  |   .0290525   .0343216     0.85   0.398    -.0384695    .0965746
          5  |   .0200533   .0330824     0.61   0.545     -.045031    .0851375
          6  |   .0440279   .0499059     0.88   0.378    -.0541537    .1422096
          7  |   .0343916   .0569718     0.60   0.546     -.077691    .1464743
          8  |   .0343916   .0569718     0.60   0.546     -.077691    .1464743
          9  |   .0181297   .0398333     0.46   0.649    -.0602357    .0964951
         10  |          0  (empty)
         11  |   .0368646   .0516592     0.71   0.476    -.0647664    .1384956
         12  |   .1153325    .058055     1.99   0.048     .0011187    .2295462
             |
  year_group |
          5  |  -.4096765          .        .       .            .           .
          6  |  -.1794753   .1602837    -1.12   0.264    -.4948071    .1358566
          7  |  -.4106248   .0608955    -6.74   0.000    -.5304267   -.2908229
          8  |   -.329736   .0542652    -6.08   0.000    -.4364939   -.2229781
          9  |  -.3414042   .0528538    -6.46   0.000    -.4453854    -.237423
         10  |  -.2418481   .0539378    -4.48   0.000    -.3479619   -.1357343
         11  |  -.1567906   .0673389    -2.33   0.021    -.2892689   -.0243123
         12  |  -.2171369    .064308    -3.38   0.001    -.3436523   -.0906215
         13  |  -.2213891    .067481    -3.28   0.001    -.3541468   -.0886313
             |
       _cons |   .4535494   .0721883     6.28   0.000     .3115309     .595568
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,282    .2247678    .4012717          0   2.575964
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7601
                                                    Adj R-squared     = 0.6744
                                                    Root MSE          = 0.2091

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0061165   .0480112    -0.13   0.899    -.1005708    .0883377
             |
 scale_group |
          2  |  -.2108767   .0482184    -4.37   0.000    -.3057386   -.1160149
          3  |          0  (omitted)
          4  |   .1648502   .0532557     3.10   0.002     .0600783     .269622
          5  |   .1196912   .0498231     2.40   0.017     .0216724      .21771
          6  |   .0612578   .0609058     1.01   0.315    -.0585643    .1810799
          7  |   .0688131   .0638521     1.08   0.282    -.0568054    .1944316
          8  |   .0688131   .0638521     1.08   0.282    -.0568054    .1944316
          9  |   .1633501   .0644646     2.53   0.012     .0365266    .2901735
         10  |          0  (empty)
         11  |   .1589576    .059667     2.66   0.008     .0415726    .2763426
         12  |  -.1663392   .0423327    -3.93   0.000    -.2496218   -.0830566
             |
  year_group |
          5  |    .107253   .0602341     1.78   0.076    -.0112478    .2257537
          6  |  -.4337473   .0975752    -4.45   0.000    -.6257104   -.2417842
          7  |  -.2684751   .0958927    -2.80   0.005    -.4571282    -.079822
          8  |  -.2218566   .0885874    -2.50   0.013    -.3961377   -.0475755
          9  |  -.2983075   .0825265    -3.61   0.000    -.4606649   -.1359501
         10  |  -.3162925   .0823622    -3.84   0.000    -.4783266   -.1542585
         11  |  -.3374944   .0856338    -3.94   0.000    -.5059647    -.169024
         12  |  -.3262772   .0875092    -3.73   0.000    -.4984372   -.1541171
         13  |  -.3507669   .0873457    -4.02   0.000    -.5226052   -.1789286
             |
       _cons |   .5131017   .0958809     5.35   0.000     .3244719    .7017316
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,282    .2601951    .3806402          0   2.508034
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5536
                                                    Adj R-squared     = 0.3942
                                                    Root MSE          = 0.2067

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0202693   .0378387    -0.54   0.593    -.0947107    .0541721
             |
 scale_group |
          2  |   .1690356   .0932622     1.81   0.071    -.0144424    .3525135
          3  |          0  (omitted)
          4  |   .1734036   .0368035     4.71   0.000     .1009987    .2458084
          5  |    .200814    .025357     7.92   0.000     .1509282    .2506997
          6  |   .2172831   .0497405     4.37   0.000     .1194267    .3151394
          7  |   .0595642   .0492993     1.21   0.228     -.037424    .1565524
          8  |   .0595642   .0492993     1.21   0.228     -.037424    .1565524
          9  |   .0836251   .0530267     1.58   0.116    -.0206963    .1879465
         10  |          0  (empty)
         11  |   .1985598   .0485397     4.09   0.000      .103066    .2940537
         12  |   .1355484   .0862913     1.57   0.117    -.0342156    .3053125
             |
  year_group |
          5  |   .0261802   .1236172     0.21   0.832    -.2170162    .2693767
          6  |   .2808259   .1721279     1.63   0.104    -.0578074    .6194591
          7  |   .1864679   .2153147     0.87   0.387    -.2371284    .6100642
          8  |   .0471321   .2032189     0.23   0.817    -.3526676    .4469319
          9  |   .0366267   .2044464     0.18   0.858     -.365588    .4388413
         10  |   .0481304   .2059845     0.23   0.815    -.3571102    .4533711
         11  |   .0809695   .2057771     0.39   0.694     -.323863    .4858021
         12  |   .0484676   .2057373     0.24   0.814    -.3562867    .4532219
         13  |    .054086   .2062543     0.26   0.793    -.3516854    .4598574
             |
       _cons |  -.0974535   .2097134    -0.46   0.642      -.51003    .3151231
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,282    .1161294    .2575723          0   1.903286
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8234
                                                    Adj R-squared     = 0.7603
                                                    Root MSE          = 0.2236

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0803029   .0505784     1.59   0.113    -.0192017    .1798076
             |
 scale_group |
          2  |  -.1128559   .2145782    -0.53   0.599    -.5350032    .3092915
          3  |          0  (omitted)
          4  |  -.0118776   .0453307    -0.26   0.793    -.1010582    .0773031
          5  |   .0618462   .0308637     2.00   0.046      .001127    .1225654
          6  |  -.0205384   .0689653    -0.30   0.766    -.1562164    .1151396
          7  |   .0892174   .0606537     1.47   0.142    -.0301087    .2085436
          8  |   .0809313   .0606537     1.33   0.183    -.0383948    .2002575
          9  |   .0818397   .1137458     0.72   0.472    -.1419365    .3056158
         10  |          0  (empty)
         11  |  -.0639254   .0557056    -1.15   0.252     -.173517    .0456661
         12  |  -.1136899   .2081801    -0.55   0.585      -.52325    .2958702
             |
  year_group |
          5  |   .0863852   .1264744     0.68   0.495    -.1624324    .3352027
          6  |   .5908961   .4131501     1.43   0.154    -.2219087    1.403701
          7  |   .0699839    .195254     0.36   0.720    -.3141461     .454114
          8  |   .1633911   .1693745     0.96   0.335    -.1698253    .4966075
          9  |   .1260636   .1661071     0.76   0.448    -.2007247     .452852
         10  |   .1271344   .1692723     0.75   0.453     -.205881    .4601498
         11  |  -.0023744   .1703377    -0.01   0.989    -.3374858     .332737
         12  |   .0294874   .1710648     0.17   0.863    -.3070545    .3660293
         13  |   .0517027   .1711953     0.30   0.763     -.285096    .3885014
             |
       _cons |   .1778436   .1823718     0.98   0.330    -.1809429    .5366301
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,282    .2558401    .4570139          0   3.320986
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9749
                                                    Adj R-squared     = 0.9659
                                                    Root MSE          = 0.0868

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0101924   .0277273     0.37   0.713    -.0443566    .0647414
             |
 scale_group |
          2  |   .0014286    .040024     0.04   0.972    -.0773121    .0801693
          3  |          0  (omitted)
          4  |   .0022184   .0211665     0.10   0.917    -.0394232      .04386
          5  |  -.0055579    .016118    -0.34   0.730    -.0372674    .0261516
          6  |   .0004941   .0534259     0.01   0.993    -.1046125    .1056007
          7  |   -.039491   .0324513    -1.22   0.225    -.1033336    .0243515
          8  |  -.0313507   .0324513    -0.97   0.335    -.0951932    .0324918
          9  |  -.0110691   .0194666    -0.57   0.570    -.0493665    .0272282
         10  |          0  (empty)
         11  |   .0014216   .0219526     0.06   0.948    -.0417665    .0446097
         12  |   .0112938   .0367204     0.31   0.759    -.0609476    .0835352
             |
  year_group |
          5  |  -.1096312   .0312747    -3.51   0.001     -.171159   -.0481033
          6  |   .0759653    .061627     1.23   0.219    -.0452757    .1972062
          7  |  -.0317656   .0498122    -0.64   0.524     -.129763    .0662318
          8  |  -.0281355   .0490157    -0.57   0.566    -.1245659    .0682949
          9  |  -.0106799   .0487533    -0.22   0.827     -.106594    .0852342
         10  |  -.0521217   .0486918    -1.07   0.285    -.1479147    .0436714
         11  |  -.0321639   .0553882    -0.58   0.562     -.141131    .0768033
         12  |  -.0367604   .0520044    -0.71   0.480    -.1390705    .0655496
         13  |  -.0541216   .0516315    -1.05   0.295    -.1556982    .0474549
             |
       _cons |   .3391872   .0554749     6.11   0.000     .2300493     .448325
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,282    .2769435    .4436483          0   2.403188
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9507
                                                    Adj R-squared     = 0.9331
                                                    Root MSE          = 0.1153

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0331446    .032525    -1.02   0.309    -.0971323     .030843
             |
 scale_group |
          2  |  -.0609659    .101524    -0.60   0.549    -.2606977    .1387658
          3  |          0  (omitted)
          4  |  -.0130772   .0194378    -0.67   0.502     -.051318    .0251635
          5  |  -.0038684   .0149906    -0.26   0.797    -.0333599    .0256232
          6  |  -.0025216   .0266307    -0.09   0.925    -.0549131    .0498699
          7  |  -.0176831   .0333409    -0.53   0.596    -.0832759    .0479096
          8  |  -.0176831   .0333409    -0.53   0.596    -.0832759    .0479096
          9  |   .0075201   .0239061     0.31   0.753    -.0395111    .0545514
         10  |          0  (empty)
         11  |  -.0191432   .0299601    -0.64   0.523    -.0780848    .0397985
         12  |  -.0873412   .1012906    -0.86   0.389    -.2866138    .1119314
             |
  year_group |
          5  |  -.1869816   .0491284    -3.81   0.000    -.2836338   -.0903295
          6  |  -.6167166   .1236812    -4.99   0.000    -.8600389   -.3733942
          7  |  -.6412662   .1400447    -4.58   0.000    -.9167811   -.3657513
          8  |  -.6534621   .1407333    -4.64   0.000    -.9303318   -.3765925
          9  |  -.6634013   .1405658    -4.72   0.000    -.9399414   -.3868612
         10  |  -.6592648   .1378271    -4.78   0.000     -.930417   -.3881126
         11  |  -.6128745   .1412351    -4.34   0.000    -.8907314   -.3350176
         12  |  -.6117284    .140872    -4.34   0.000    -.8888708    -.334586
         13  |  -.6022187   .1416051    -4.25   0.000    -.8808035   -.3236338
             |
       _cons |   .9563696   .1428752     6.69   0.000     .6752862    1.237453
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,282    .2588367    .4248477          0   2.459671
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8537
                                                    Adj R-squared     = 0.8015
                                                    Root MSE          = 0.2138

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0956025   .0437855     2.18   0.030     .0094617    .1817432
             |
 scale_group |
          2  |  -.1458597   .0488333    -2.99   0.003    -.2419313   -.0497881
          3  |          0  (omitted)
          4  |  -.0491168   .0487934    -1.01   0.315    -.1451097    .0468761
          5  |  -.0058909   .0379564    -0.16   0.877    -.0805638     .068782
          6  |  -.1203035   .0672966    -1.79   0.075    -.2526985    .0120915
          7  |  -.0839524   .0627067    -1.34   0.182    -.2073176    .0394127
          8  |  -.0835988   .0627067    -1.33   0.183    -.2069639    .0397664
          9  |   -.008761   .0745634    -0.12   0.907    -.1554524    .1379303
         10  |          0  (empty)
         11  |  -.0575467   .0567281    -1.01   0.311    -.1691499    .0540565
         12  |  -.0844349   .0424872    -1.99   0.048    -.1680215   -.0008484
             |
  year_group |
          5  |  -.0429676    .070131    -0.61   0.541    -.1809389    .0950036
          6  |   .2176999   .1205277     1.81   0.072    -.0194187    .4548184
          7  |   .1445029   .1276754     1.13   0.259    -.1066774    .3956831
          8  |   .0579443   .0854111     0.68   0.498    -.1100879    .2259766
          9  |   .0576085   .0790145     0.73   0.466    -.0978395    .2130565
         10  |   .0311283   .0812399     0.38   0.702    -.1286977    .1909544
         11  |   .0441241   .0850496     0.52   0.604    -.1231971    .2114452
         12  |   .0989157   .0864478     1.14   0.253    -.0711561    .2689874
         13  |    .085079   .0869887     0.98   0.329    -.0860569     .256215
             |
       _cons |   .2741762   .0932445     2.94   0.004      .090733    .4576193
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         773           0        773        773

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,282    .3069135    .4651014          0   2.621894

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7792
                                                    Adj R-squared     = 0.7023
                                                    Root MSE          = 0.2151

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0234398   .0473196     0.50   0.621     -.069665    .1165446
             |
 scale_group |
          2  |   .2280425   .0936557     2.43   0.015     .0437681     .412317
          3  |          0  (omitted)
          4  |   .1094352   .0375461     2.91   0.004     .0355606    .1833099
          5  |   .0839422   .0486862     1.72   0.086    -.0118514    .1797357
          6  |   .1358209   .0687272     1.98   0.049     .0005953    .2710466
          7  |   .1780755   .0705022     2.53   0.012     .0393573    .3167937
          8  |    .184482   .0705022     2.62   0.009     .0457638    .3232001
          9  |    .045979   .0532522     0.86   0.389    -.0587986    .1507565
         10  |          0  (empty)
         11  |   .1822072   .0561822     3.24   0.001     .0716648    .2927497
         12  |   .1474621   .0857278     1.72   0.086    -.0212135    .3161378
             |
  year_group |
          5  |          0  (empty)
          6  |   .1086879   .1583924     0.69   0.493    -.2029605    .4203362
          7  |   .1638782   .1177149     1.39   0.165    -.0677344    .3954908
          8  |   .1590306     .09084     1.75   0.081    -.0197036    .3377649
          9  |   .2051144   .0931701     2.20   0.028     .0217955    .3884333
         10  |   .2525009     .09084     2.78   0.006     .0737667    .4312352
         11  |   .3448074   .1058018     3.26   0.001     .1366348    .5529801
         12  |   .3647494    .099278     3.67   0.000     .1694128    .5600861
         13  |   .3004796   .1037398     2.90   0.004     .0963641    .5045951
             |
       _cons |  -.1954936   .1077692    -1.81   0.071    -.4075373    .0165501
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,248    .2096514    .3954737          0   2.928604
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8139
                                                    Adj R-squared     = 0.7491
                                                    Root MSE          = 0.2191

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .031947   .0499138     0.64   0.523    -.0662619     .130156
             |
 scale_group |
          2  |   .0846804   .0822443     1.03   0.304    -.0771413     .246502
          3  |          0  (omitted)
          4  |   .1140546    .030187     3.78   0.000     .0546595    .1734498
          5  |   .0883228   .0530198     1.67   0.097    -.0159975    .1926431
          6  |   .0805499   .0572605     1.41   0.161    -.0321143    .1932141
          7  |   .1067299   .0575297     1.86   0.065     -.006464    .2199238
          8  |   .1067299   .0575297     1.86   0.065     -.006464    .2199238
          9  |   .1023232   .0382369     2.68   0.008     .0270894    .1775571
         10  |          0  (empty)
         11  |   .1034304   .0548221     1.89   0.060     -.004436    .2112969
         12  |   .0798045   .0668485     1.19   0.233    -.0517248    .2113338
             |
  year_group |
          5  |          0  (empty)
          6  |   -.460026   .0542931    -8.47   0.000    -.5668516   -.3532004
          7  |  -.4349721   .0509343    -8.54   0.000    -.5351889   -.3347552
          8  |  -.3420066   .0426854    -8.01   0.000    -.4259932     -.25802
          9  |  -.3021402   .0495505    -6.10   0.000    -.3996343    -.204646
         10  |  -.2407497   .0426854    -5.64   0.000    -.3247363   -.1567631
         11  |  -.2230949   .0649219    -3.44   0.001    -.3508334   -.0953564
         12  |  -.2318887   .0567644    -4.09   0.000    -.3435767   -.1202006
         13  |  -.1306047   .0980935    -1.33   0.184    -.3236107    .0624013
             |
       _cons |   .3911411   .0753055     5.19   0.000     .2429721    .5393101
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,248    .2378622    .4280623          0   2.973434
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7386
                                                    Adj R-squared     = 0.6477
                                                    Root MSE          = 0.2253

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0026717   .0451465    -0.06   0.953    -.0915006    .0861572
             |
 scale_group |
          2  |  -.1529677   .0614996    -2.49   0.013    -.2739726   -.0319629
          3  |          0  (omitted)
          4  |  -.0210413   .0247766    -0.85   0.396    -.0697909    .0277084
          5  |  -.0313839   .0425203    -0.74   0.461    -.1150457    .0522778
          6  |  -.0828125   .0481195    -1.72   0.086    -.1774911     .011866
          7  |  -.0670106   .0467222    -1.43   0.153    -.1589398    .0249186
          8  |  -.0670106   .0467222    -1.43   0.153    -.1589398    .0249186
          9  |  -.0774592   .0552986    -1.40   0.162    -.1862632    .0313449
         10  |          0  (empty)
         11  |  -.0032467   .0447245    -0.07   0.942    -.0912453     .084752
         12  |  -.1128766   .0474226    -2.38   0.018    -.2061839   -.0195693
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1617815   .1264287    -1.28   0.202    -.4105391    .0869762
          7  |   -.184162     .12244    -1.50   0.134    -.4250715    .0567475
          8  |  -.1393914   .1106261    -1.26   0.209    -.3570562    .0782734
          9  |  -.2362033   .1145667    -2.06   0.040    -.4616216    -.010785
         10  |  -.2279319   .1106261    -2.06   0.040    -.4455967   -.0102671
         11  |  -.2681329   .1126536    -2.38   0.018    -.4897869   -.0464788
         12  |  -.2659578   .1129221    -2.36   0.019    -.4881402   -.0437754
         13  |  -.2564904   .1140404    -2.25   0.025    -.4808732   -.0321077
             |
       _cons |   .5270092   .1158265     4.55   0.000     .2991122    .7549062
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,248    .2626706    .4271059          0   3.235919
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6319
                                                    Adj R-squared     = 0.5037
                                                    Root MSE          = 0.2108

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0218996   .0491712    -0.45   0.656    -.1186475    .0748482
             |
 scale_group |
          2  |  -.0052037   .0634929    -0.08   0.935    -.1301306    .1197231
          3  |          0  (omitted)
          4  |   .0532668    .020475     2.60   0.010     .0129806    .0935529
          5  |   .0518235   .0295775     1.75   0.081    -.0063724    .1100194
          6  |   .0561088   .0463622     1.21   0.227    -.0351121    .1473298
          7  |  -.0681446   .0397197    -1.72   0.087    -.1462961    .0100068
          8  |  -.0681446   .0397197    -1.72   0.087    -.1462961    .0100068
          9  |  -.0234906   .0296978    -0.79   0.430    -.0819231    .0349419
         10  |          0  (empty)
         11  |   .0812299    .040512     2.01   0.046     .0015197    .1609401
         12  |   .0098311    .048582     0.20   0.840    -.0857575    .1054196
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1655086   .1835753    -0.90   0.368    -.5267062     .195689
          7  |  -.1406299   .1845674    -0.76   0.447    -.5037795    .2225198
          8  |  -.1940718    .180554    -1.07   0.283    -.5493247    .1611811
          9  |   -.269058   .1822194    -1.48   0.141    -.6275877    .0894718
         10  |  -.2070876    .180554    -1.15   0.252    -.5623405    .1481654
         11  |  -.1887288   .1814637    -1.04   0.299    -.5457717    .1683141
         12  |  -.2231797   .1816815    -1.23   0.220    -.5806511    .1342917
         13  |  -.2195469    .183693    -1.20   0.233    -.5809761    .1418823
             |
       _cons |   .3092573   .1815731     1.70   0.090    -.0480008    .6665154
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,248     .127638    .3107695          0   2.646506
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8010
                                                    Adj R-squared     = 0.7317
                                                    Root MSE          = 0.2380

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0603773   .0434509     1.39   0.166    -.0251154      .14587
             |
 scale_group |
          2  |  -.0249279   .0932893    -0.27   0.789    -.2084812    .1586254
          3  |          0  (omitted)
          4  |  -.0208139   .0270053    -0.77   0.441    -.0739487    .0323209
          5  |   .0334936   .0437714     0.77   0.445    -.0526297    .1196169
          6  |  -.1236037   .0668961    -1.85   0.066    -.2552267    .0080192
          7  |   .0282635   .0536678     0.53   0.599    -.0773317    .1338588
          8  |   .0631201   .0536678     1.18   0.240    -.0424751    .1687154
          9  |   .0681054   .0669644     1.02   0.310    -.0636519    .1998627
         10  |          0  (empty)
         11  |  -.0882198   .0448612    -1.97   0.050    -.1764875    .0000479
         12  |  -.0049723   .0768863    -0.06   0.948    -.1562516    .1463071
             |
  year_group |
          5  |          0  (empty)
          6  |   .6246062   .3173725     1.97   0.050      .000153    1.249059
          7  |   .2362596   .1707802     1.38   0.168    -.0997628    .5722819
          8  |   .3292486   .1596649     2.06   0.040     .0150965    .6434007
          9  |    .334129   .1635844     2.04   0.042     .0122649    .6559931
         10  |   .2953402   .1596649     1.85   0.065    -.0188119    .6094923
         11  |   .1673926   .1632753     1.03   0.306    -.1538633    .4886486
         12  |   .1949983   .1629627     1.20   0.232    -.1256425    .5156391
         13  |   .2398092   .1636494     1.47   0.144    -.0821828    .5618012
             |
       _cons |    .007897   .1642861     0.05   0.962    -.3153479    .3311418
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,248    .2697081    .4649321          0   3.269176
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9772
                                                    Adj R-squared     = 0.9693
                                                    Root MSE          = 0.0838

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .000738   .0137715     0.05   0.957    -.0263585    .0278344
             |
 scale_group |
          2  |  -.0131998   .0210357    -0.63   0.531     -.054589    .0281894
          3  |          0  (omitted)
          4  |   .0059801   .0174378     0.34   0.732    -.0283301    .0402902
          5  |  -.0033491   .0167196    -0.20   0.841     -.036246    .0295479
          6  |  -.0222134   .0226891    -0.98   0.328     -.066856    .0224291
          7  |  -.0364135   .0250626    -1.45   0.147     -.085726    .0128991
          8  |  -.0284677   .0250626    -1.14   0.257    -.0777802    .0208448
          9  |   .0318642   .0201785     1.58   0.115    -.0078385    .0715668
         10  |          0  (empty)
         11  |   .0052433   .0198974     0.26   0.792    -.0339063     .044393
         12  |   .0064185   .0107741     0.60   0.552    -.0147804    .0276174
             |
  year_group |
          5  |          0  (empty)
          6  |   .0123461   .0707476     0.17   0.862    -.1268549    .1515471
          7  |  -.0125049   .0364687    -0.34   0.732    -.0842596    .0592498
          8  |  -.0161146   .0332108    -0.49   0.628    -.0814592    .0492301
          9  |  -.0284353   .0348136    -0.82   0.415    -.0969336    .0400629
         10  |  -.0380855   .0332108    -1.15   0.252    -.1034302    .0272591
         11  |  -.0425898   .0390667    -1.09   0.276    -.1194562    .0342767
         12  |  -.0527138   .0358037    -1.47   0.142    -.1231602    .0177326
         13  |  -.0256627   .0411805    -0.62   0.534    -.1066883    .0553628
             |
       _cons |   .3474093   .0398352     8.72   0.000     .2690307    .4257879
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,248    .2927274    .4681124          0   2.820001
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9600
                                                    Adj R-squared     = 0.9461
                                                    Root MSE          = 0.1111

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0009058   .0280911     0.03   0.974    -.0543654    .0561771
             |
 scale_group |
          2  |  -.0458301   .0731009    -0.63   0.531    -.1896614    .0980013
          3  |          0  (omitted)
          4  |   .0379563   .0218151     1.74   0.083    -.0049665    .0808791
          5  |   .0232431   .0302109     0.77   0.442     -.036199    .0826851
          6  |     .04151   .0328077     1.27   0.207    -.0230415    .1060615
          7  |   .0154694   .0408203     0.38   0.705    -.0648474    .0957862
          8  |   .0154694   .0408203     0.38   0.705    -.0648474    .0957862
          9  |   .0063364   .0318236     0.20   0.842    -.0562789    .0689517
         10  |          0  (empty)
         11  |   .0396281   .0312683     1.27   0.206    -.0218944    .1011507
         12  |   -.056684   .0456026    -1.24   0.215    -.1464104    .0330424
             |
  year_group |
          5  |          0  (empty)
          6  |  -.4478586   .1231994    -3.64   0.000    -.6902622    -.205455
          7  |  -.5112127   .0913547    -5.60   0.000    -.6909597   -.3314656
          8  |  -.5118583   .0867023    -5.90   0.000    -.6824514   -.3412653
          9  |  -.4975734   .0876114    -5.68   0.000    -.6699551   -.3251916
         10  |  -.5032449   .0867023    -5.80   0.000     -.673838   -.3326519
         11  |  -.4804793    .091052    -5.28   0.000    -.6596306   -.3013279
         12  |  -.4734777   .0908522    -5.21   0.000     -.652236   -.2947195
         13  |  -.4726728   .0920753    -5.13   0.000    -.6538376   -.2915079
             |
       _cons |   .7848709   .0968165     8.11   0.000     .5943775    .9753644
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,248    .2896792    .4707525          0   2.962349
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8135
                                                    Adj R-squared     = 0.7485
                                                    Root MSE          = 0.2431

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .019364   .0454611     0.43   0.670     -.070084     .108812
             |
 scale_group |
          2  |  -.1854295   .0787348    -2.36   0.019    -.3403459    -.030513
          3  |          0  (omitted)
          4  |   .0964483    .038605     2.50   0.013     .0204902    .1724065
          5  |   .1429663   .0499126     2.86   0.004     .0447596    .2411729
          6  |   .1129068    .059339     1.90   0.058     -.003847    .2296606
          7  |   .0304051   .0713267     0.43   0.670    -.1099353    .1707456
          8  |   .0214835   .0713267     0.30   0.763     -.118857    .1618239
          9  |    .122798   .0651531     1.88   0.060    -.0053955    .2509915
         10  |          0  (empty)
         11  |   .1326858   .0562987     2.36   0.019     .0219139    .2434576
         12  |  -.0427992   .0652616    -0.66   0.512     -.171206    .0856077
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1697504   .1671841    -1.02   0.311    -.4986971    .1591963
          7  |  -.2197612   .1357361    -1.62   0.106    -.4868319    .0473094
          8  |  -.2986393   .1169146    -2.55   0.011    -.5286772   -.0686015
          9  |  -.3216179   .1201901    -2.68   0.008    -.5581005   -.0851353
         10  |  -.2489575   .1169146    -2.13   0.034    -.4789954   -.0189197
         11  |  -.2651374   .1219605    -2.17   0.030    -.5051034   -.0251713
         12  |  -.2601422   .1216221    -2.14   0.033    -.4994424    -.020842
         13  |  -.2317065   .1265092    -1.83   0.068    -.4806224    .0172095
             |
       _cons |   .5259567   .1245398     4.22   0.000     .2809158    .7709977
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,248    .3268049    .4887664          0   2.797748

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 306)        =   1.72
                                                    Prob > F          = 0.0426
                                                    R-squared         = 0.7802
                                                    Adj R-squared     = 0.6965
                                                    Root MSE          = 0.2437

                        (Std. err. adjusted for 307 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0777273   .0659302     1.18   0.239    -.0520067    .2074613
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0646206   .0846221     0.76   0.446    -.1018943    .2311354
          3  |          0  (omitted)
          4  |   .0052388   .0895481     0.06   0.953    -.1709692    .1814468
          5  |   -.037044   .0938683    -0.39   0.693     -.221753     .147665
          6  |  -.0285556   .1191222    -0.24   0.811    -.2629579    .2058466
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0714873   .0948334    -0.75   0.452    -.2580953    .1151207
         10  |          0  (omitted)
         11  |   .0730134   .1099837     0.66   0.507    -.1434067    .2894335
         12  |   .1113507   .0722413     1.54   0.124    -.0308018    .2535032
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1520769   .2319127    -0.66   0.512    -.6084224    .3042686
          7  |  -.0348004   .1185515    -0.29   0.769    -.2680797    .1984789
          8  |  -.0322097   .0939068    -0.34   0.732    -.2169946    .1525751
          9  |   .0311535   .0752842     0.41   0.679    -.1169867    .1792937
         10  |   .0799112   .0829192     0.96   0.336    -.0832529    .2430752
         11  |   .1644717   .0934012     1.76   0.079    -.0193182    .3482616
         12  |    .143104   .0929316     1.54   0.125    -.0397618    .3259699
         13  |   .1077305   .0989747     1.09   0.277    -.0870266    .3024876
             |
       _cons |   .1161472   .1047663     1.11   0.268    -.0900063    .3223007
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         731           0        731        731

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,198    .2539242     .443431          0   3.030167
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 306)        =  11.29
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8665
                                                    Adj R-squared     = 0.8157
                                                    Root MSE          = 0.1894

                        (Std. err. adjusted for 307 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0224854   .0463808    -0.48   0.628     -.113751    .0687802
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1159403   .0663128     1.75   0.081    -.0145465    .2464271
          3  |          0  (omitted)
          4  |   .0130122   .0302924     0.43   0.668    -.0465955    .0726199
          5  |  -.0256899   .0302137    -0.85   0.396    -.0851428    .0337629
          6  |   .0077534    .043578     0.18   0.859    -.0779971    .0935039
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0093699   .0348811     0.27   0.788    -.0592674    .0780071
         10  |          0  (omitted)
         11  |  -.0047298   .0443257    -0.11   0.915    -.0919516    .0824919
         12  |    .177009   .0658824     2.69   0.008     .0473692    .3066489
             |
  year_group |
          5  |          0  (empty)
          6  |  -.4948381   .0743197    -6.66   0.000    -.6410805   -.3485958
          7  |  -.3783775   .0439508    -8.61   0.000    -.4648616   -.2918934
          8  |   -.295033   .0401765    -7.34   0.000    -.3740903   -.2159757
          9  |  -.2959711   .0363984    -8.13   0.000     -.367594   -.2243482
         10  |  -.2283119    .039571    -5.77   0.000    -.3061776   -.1504463
         11  |  -.1783755     .04853    -3.68   0.000    -.2738702   -.0828808
         12  |  -.2260844   .0473988    -4.77   0.000    -.3193532   -.1328156
         13  |  -.1061718    .075423    -1.41   0.160    -.2545852    .0422415
             |
       _cons |   .4684028   .0504556     9.28   0.000      .369119    .5676867
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         731           0        731        731

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,198    .2548869    .4431147          0   2.750841
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 306)        =   1.44
                                                    Prob > F          = 0.1212
                                                    R-squared         = 0.8040
                                                    Adj R-squared     = 0.7294
                                                    Root MSE          = 0.2197

                        (Std. err. adjusted for 307 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0435256   .0559226     0.78   0.437    -.0665159    .1535671
             |
 scale_group |
          1  |          0  (empty)
          2  |   -.221832   .0920798    -2.41   0.017    -.4030217   -.0406423
          3  |          0  (omitted)
          4  |  -.0838854    .063648    -1.32   0.189    -.2091286    .0413578
          5  |  -.0957553   .0707247    -1.35   0.177    -.2349237    .0434131
          6  |  -.1774686   .0781277    -2.27   0.024    -.3312042   -.0237331
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   -.092105   .0782814    -1.18   0.240     -.246143    .0619331
         10  |          0  (omitted)
         11  |  -.0655108   .0778361    -0.84   0.401    -.2186726     .087651
         12  |  -.0825046   .0911323    -0.91   0.366    -.2618298    .0968207
             |
  year_group |
          5  |          0  (empty)
          6  |   .0004639    .153087     0.00   0.998    -.3007725    .3017003
          7  |  -.0551648   .1164319    -0.47   0.636    -.2842733    .1739437
          8  |  -.0817531   .1156824    -0.71   0.480    -.3093868    .1458805
          9  |  -.1151534   .1058926    -1.09   0.278    -.3235232    .0932165
         10  |  -.1080758   .1078549    -1.00   0.317     -.320307    .1041554
         11  |  -.1206957    .109762    -1.10   0.272    -.3366796    .0952883
         12  |  -.1042485   .1134686    -0.92   0.359     -.327526    .1190291
         13  |  -.0826449   .1127266    -0.73   0.464    -.3044624    .1391726
             |
       _cons |   .4528913   .1228159     3.69   0.000     .2112207    .6945618
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         731           0        731        731

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,198    .2893101    .4483959          0   3.199697
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 306)        =   2.03
                                                    Prob > F          = 0.0112
                                                    R-squared         = 0.7206
                                                    Adj R-squared     = 0.6143
                                                    Root MSE          = 0.1761

                        (Std. err. adjusted for 307 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.026855   .0302178    -0.89   0.375     -.086316     .032606
             |
 scale_group |
          1  |          0  (empty)
          2  |   -.175479   .2640459    -0.66   0.507    -.6950544    .3440965
          3  |          0  (omitted)
          4  |   .0859393    .049272     1.74   0.082    -.0110156    .1828941
          5  |   .0981503   .0520263     1.89   0.060    -.0042242    .2005249
          6  |    .129396   .0606367     2.13   0.034     .0100783    .2487137
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0049116   .0547923     0.09   0.929    -.1029057    .1127289
         10  |          0  (omitted)
         11  |   .0864488   .0516385     1.67   0.095    -.0151626    .1880602
         12  |  -.1708703   .2333913    -0.73   0.465    -.6301253    .2883847
             |
  year_group |
          5  |          0  (empty)
          6  |   .2421848   .1627824     1.49   0.138    -.0781297    .5624993
          7  |   .2127205   .1637607     1.30   0.195    -.1095191    .5349601
          8  |   .1695317   .1630606     1.04   0.299    -.1513303    .4903937
          9  |    .128242   .1591673     0.81   0.421    -.1849589    .4414428
         10  |     .11113    .162107     0.69   0.494    -.2078556    .4301155
         11  |   .1509079   .1622518     0.93   0.353    -.1683625    .4701782
         12  |   .1385375   .1618198     0.86   0.393    -.1798828    .4569578
         13  |   .1162453   .1625955     0.71   0.475    -.2037015    .4361921
             |
       _cons |   -.028201   .1817237    -0.16   0.877    -.3857872    .3293851
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         731           0        731        731

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,198    .1264341    .2996096          0   3.451427
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 306)        =   1.95
                                                    Prob > F          = 0.0162
                                                    R-squared         = 0.8009
                                                    Adj R-squared     = 0.7251
                                                    Root MSE          = 0.2561

                        (Std. err. adjusted for 307 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0471049    .048958     0.96   0.337    -.0492321    .1434419
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0636161   .0884416     0.72   0.473    -.1104146    .2376468
          3  |          0  (omitted)
          4  |    .094402   .0785849     1.20   0.231    -.0602332    .2490372
          5  |    .163637   .0762373     2.15   0.033     .0136213    .3136528
          6  |  -.0144301   .1034746    -0.14   0.889    -.2180419    .1891818
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .1568835   .1047112     1.50   0.135    -.0491617    .3629287
         10  |          0  (omitted)
         11  |    .076049   .0849337     0.90   0.371     -.091079    .2431771
         12  |   .0730347   .0780731     0.94   0.350    -.0805934    .2266629
             |
  year_group |
          5  |          0  (empty)
          6  |   .5057319   .3106945     1.63   0.105    -.1056362      1.1171
          7  |   .1077029   .1364877     0.79   0.431    -.1608703    .3762761
          8  |   .1479304   .1155281     1.28   0.201    -.0793996    .3752604
          9  |   .1287443   .1017326     1.27   0.207    -.0714397    .3289283
         10  |   .1523324    .106507     1.43   0.154    -.0572464    .3619113
         11  |   .0289938   .1095126     0.26   0.791    -.1864993     .244487
         12  |   .0568893     .11178     0.51   0.611    -.1630654    .2768441
         13  |   .0948543   .1139037     0.83   0.406    -.1292792    .3189879
             |
       _cons |   .0594428   .1215279     0.49   0.625    -.1796932    .2985789
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         731           0        731        731

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,198    .2921545    .5169021          0   3.679824
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 306)        =   1.53
                                                    Prob > F          = 0.0893
                                                    R-squared         = 0.9753
                                                    Adj R-squared     = 0.9660
                                                    Root MSE          = 0.0934

                        (Std. err. adjusted for 307 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0213212   .0176095     1.21   0.227    -.0133299    .0559723
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0361636   .0196286     1.84   0.066    -.0024605    .0747876
          3  |          0  (omitted)
          4  |   .0112974    .019265     0.59   0.558    -.0266112    .0492061
          5  |   .0004255   .0174639     0.02   0.981     -.033939    .0347899
          6  |   .0245656   .0571405     0.43   0.668    -.0878724    .1370036
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0062965   .0214825     0.29   0.770    -.0359757    .0485686
         10  |          0  (omitted)
         11  |   .0198603   .0229473     0.87   0.387    -.0252941    .0650148
         12  |   .0232618   .0158014     1.47   0.142    -.0078315     .054355
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0242797    .094644    -0.26   0.798    -.2105151    .1619556
          7  |  -.0835782   .0290303    -2.88   0.004    -.1407026   -.0264538
          8  |  -.0716573   .0265047    -2.70   0.007    -.1238118   -.0195027
          9  |  -.0557786    .025504    -2.19   0.029    -.1059641   -.0055931
         10  |  -.0950692   .0280913    -3.38   0.001    -.1503458   -.0397926
         11  |   -.081264   .0331348    -2.45   0.015     -.146465    -.016063
         12  |  -.0776961   .0301166    -2.58   0.010    -.1369579   -.0184342
         13  |  -.0616148   .0403298    -1.53   0.128    -.1409737     .017744
             |
       _cons |   .3790449   .0323396    11.72   0.000     .3154087     .442681
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         731           0        731        731

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,198    .3096987    .4946355          0   3.244929
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 306)        =   5.61
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9457
                                                    Adj R-squared     = 0.9250
                                                    Root MSE          = 0.1332

                        (Std. err. adjusted for 307 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0178797    .032265    -0.55   0.580    -.0813691    .0456096
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1497609   .1418625     1.06   0.292    -.1293885    .4289103
          3  |          0  (omitted)
          4  |   .0062577   .0259462     0.24   0.810    -.0447979    .0573132
          5  |   .0092337    .031194     0.30   0.767    -.0521481    .0706156
          6  |   .0049322   .0362703     0.14   0.892    -.0664386     .076303
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0128409   .0341746    -0.38   0.707    -.0800878     .054406
         10  |          0  (omitted)
         11  |   .0195886   .0521223     0.38   0.707    -.0829748    .1221521
         12  |   .2035048   .1253352     1.62   0.105    -.0431231    .4501326
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5785072   .1569567    -3.69   0.000    -.8873583   -.2696562
          7  |  -.7002833   .0838396    -8.35   0.000    -.8652584   -.5353081
          8  |  -.6931654   .0795784    -8.71   0.000    -.8497556   -.5365752
          9  |  -.6798442   .0765148    -8.89   0.000    -.8304059   -.5292826
         10  |  -.6619825   .0784769    -8.44   0.000    -.8164051   -.5075598
         11  |  -.6292678   .0801039    -7.86   0.000     -.786892   -.4716436
         12  |  -.6645207   .0819415    -8.11   0.000    -.8257609   -.5032804
         13  |   -.656857   .0857084    -7.66   0.000    -.8255094   -.4882047
             |
       _cons |   .9168723   .0911577    10.06   0.000     .7374971    1.096248
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         731           0        731        731

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,198    .2846908    .4712747          0   3.199676
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    315
                                                    F(16, 306)        =   8.16
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7902
                                                    Adj R-squared     = 0.7103
                                                    Root MSE          = 0.2781

                        (Std. err. adjusted for 307 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .052619    .051672     1.02   0.309    -.0490583    .1542964
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.2643247   .1376755    -1.92   0.056    -.5352353    .0065859
          3  |          0  (omitted)
          4  |   .2023953   .1558766     1.30   0.195    -.1043305    .5091211
          5  |   .2322359   .1607097     1.45   0.149    -.0840001    .5484719
          6  |   .2310107   .1655184     1.40   0.164    -.0946875    .5567089
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .3543126   .1662532     2.13   0.034     .0271685    .6814568
         10  |          0  (omitted)
         11  |   .2232045   .1620743     1.38   0.169    -.0957167    .5421257
         12  |  -.0467672   .1265559    -0.37   0.712    -.2957972    .2022629
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3930624   .1755409    -2.24   0.026    -.7384823   -.0476424
          7  |  -.4056973   .1070611    -3.79   0.000    -.6163666   -.1950281
          8  |  -.4410759   .0725356    -6.08   0.000    -.5838076   -.2983442
          9  |   -.442977   .0463115    -9.57   0.000    -.5341063   -.3518477
         10  |  -.4621622   .0548798    -8.42   0.000    -.5701516   -.3541727
         11  |  -.4781078    .064284    -7.44   0.000    -.6046025   -.3516132
         12  |  -.5188895   .0660323    -7.86   0.000    -.6488244   -.3889547
         13  |  -.4042408   .0677939    -5.96   0.000     -.537642   -.2708395
             |
       _cons |   .6439918   .1333473     4.83   0.000     .3815981    .9063854
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         731           0        731        731

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,198    .3368046    .5046349          0   2.784221

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(744 missing values generated)
(744 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,246
Absorbed variable: factor_pair                    No. of categories =      303
                                                  F(19, 314)        = 7.88e+09
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7820
                                                  Adj R-squared     =   0.7063
                                                  Root MSE          =   0.2225

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0562544   .0494212    -1.14   0.256     -.153493    .0409843
             |
 scale_group |
          2  |   .3213227   .2307239     1.39   0.165    -.1326376    .7752829
          3  |          0  (omitted)
          4  |  -.0927962   .0826887    -1.12   0.263    -.2554902    .0698978
          5  |  -.0936977   .0757984    -1.24   0.217    -.2428346    .0554393
          6  |  -.0672668   .1016173    -0.66   0.508    -.2672036      .13267
          7  |  -.0068104   1.76e-08 -3.9e+05   0.000    -.0068104   -.0068104
          8  |          0  (omitted)
          9  |  -.0889552    .085013    -1.05   0.296    -.2562224     .078312
         10  |  -.0833157   .0891789    -0.93   0.351    -.2587795    .0921481
         11  |   .0430498   .0699308     0.62   0.539    -.0945425     .180642
         12  |   .3131005   .2366244     1.32   0.187    -.1524692    .7786703
             |
  year_group |
          5  |   .0532054   .0068734     7.74   0.000     .0396817    .0667292
          6  |  -.0739853   .1399634    -0.53   0.597    -.3493699    .2013993
          7  |   .1634453   .1432876     1.14   0.255    -.1184798    .4453704
          8  |   .0364853   .1157515     0.32   0.753    -.1912612    .2642319
          9  |   .0860217   .1182654     0.73   0.468    -.1466711    .3187145
         10  |    .189354   .1227686     1.54   0.124    -.0521991     .430907
         11  |   .3055264   .1293306     2.36   0.019     .0510622    .5599906
         12  |   .2982669   .1271321     2.35   0.020     .0481284    .5484055
         13  |   .2752733   .1276057     2.16   0.032      .024203    .5263436
             |
       _cons |   .0221452   .1426349     0.16   0.877    -.2584957    .3027861
------------------------------------------------------------------------------
(744 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,246         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,246    .2285448    .4034109          0   3.390249
(744 missing values generated)
(744 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,246
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(0, 314)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8383
                                                    Adj R-squared     = 0.7822
                                                    Root MSE          = 0.2140

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0120765          .        .       .            .           .
             |
 scale_group |
          2  |   .0952593          .        .       .            .           .
          3  |          0  (omitted)
          4  |   .0143951          .        .       .            .           .
          5  |  -.0011912          .        .       .            .           .
          6  |  -.0305272          .        .       .            .           .
          7  |   3.46e-15          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0115852          .        .       .            .           .
         10  |   .0020509          .        .       .            .           .
         11  |  -.0017589          .        .       .            .           .
         12  |   .0957213          .        .       .            .           .
             |
  year_group |
          5  |  -.4763278          .        .       .            .           .
          6  |  -.3928028          .        .       .            .           .
          7  |  -.4505999          .        .       .            .           .
          8  |  -.3833017          .        .       .            .           .
          9  |  -.3283694          .        .       .            .           .
         10  |  -.2343039          .        .       .            .           .
         11  |  -.1857108          .        .       .            .           .
         12  |  -.2045799          .        .       .            .           .
         13  |  -.1094412          .        .       .            .           .
             |
       _cons |   .4720504          .        .       .            .           .
------------------------------------------------------------------------------
(744 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,246         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,246     .258841    .4531128          0    3.23282
(744 missing values generated)
(744 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,246
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(19, 314)        =   6.33
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7875
                                                    Adj R-squared     = 0.7136
                                                    Root MSE          = 0.2203

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0928867   .0405703     2.29   0.023     .0130626    .1727107
             |
 scale_group |
          2  |  -.1257762    .062182    -2.02   0.044    -.2481223     -.00343
          3  |          0  (omitted)
          4  |   .0938545   .0409615     2.29   0.023     .0132607    .1744482
          5  |   .0393292   .0360525     1.09   0.276    -.0316057    .1102641
          6  |  -.0051323   .0407381    -0.13   0.900    -.0852865    .0750219
          7  |   5.64e-15   2.56e-09     0.00   1.000    -5.03e-09    5.03e-09
          8  |          0  (omitted)
          9  |   .1409263   .0589871     2.39   0.017     .0248664    .2569862
         10  |   .2185408   .0401957     5.44   0.000     .1394538    .2976278
         11  |   .0938897   .0415334     2.26   0.024     .0121708    .1756087
         12  |    -.04405   .0696799    -0.63   0.528    -.1811485    .0930486
             |
  year_group |
          5  |   .2455324   .1011547     2.43   0.016     .0465058     .444559
          6  |  -.1783726   .1549758    -1.15   0.251    -.4832949    .1265497
          7  |  -.1316023   .1540449    -0.85   0.394     -.434693    .1714885
          8  |  -.0747789   .1432014    -0.52   0.602    -.3565345    .2069768
          9  |  -.2323346   .1373696    -1.69   0.092    -.5026157    .0379466
         10  |  -.2174795   .1358684    -1.60   0.110    -.4848071    .0498481
         11  |  -.2415712    .137906    -1.75   0.081     -.512908    .0297655
         12  |  -.2327208   .1380495    -1.69   0.093    -.5043399    .0388982
         13  |  -.1868819   .1385918    -1.35   0.178    -.4595678     .085804
             |
       _cons |   .4004764   .1351957     2.96   0.003     .1344723    .6664804
------------------------------------------------------------------------------
(744 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,246         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,246    .2696632    .4026581          0   2.588761
(744 missing values generated)
(744 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,246
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5848
                                                    Adj R-squared     = 0.4406
                                                    Root MSE          = 0.1963

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0357065   .0300951    -1.19   0.236      -.09492     .023507
             |
 scale_group |
          2  |  -.9084503    .530452    -1.71   0.088     -1.95214    .1352394
          3  |          0  (omitted)
          4  |   .0497894   .0296323     1.68   0.094    -.0085134    .1080923
          5  |   .0240703   .0200121     1.20   0.230    -.0153046    .0634451
          6  |   .0512723    .025946     1.98   0.049     .0002223    .1023223
          7  |   4.15e-15          .        .       .            .           .
          8  |          0  (omitted)
          9  |  -.0782705   .0322845    -2.42   0.016    -.1417919   -.0147491
         10  |    .012263   .0290171     0.42   0.673    -.0448296    .0693555
         11  |   .0320414   .0296222     1.08   0.280    -.0262417    .0903245
         12  |  -1.005906    .542219    -1.86   0.065    -2.072748    .0609358
             |
  year_group |
          5  |   .0480596   .0342624     1.40   0.162    -.0193533    .1154725
          6  |   .2082958   .0623781     3.34   0.001     .0855638    .3310277
          7  |   .1767526    .111996     1.58   0.116    -.0436048    .3971101
          8  |   .0533312   .0678159     0.79   0.432    -.0800998    .1867622
          9  |   .0420913   .0666381     0.63   0.528    -.0890224    .1732049
         10  |   .0169845   .0675557     0.25   0.802    -.1159346    .1499037
         11  |    .038199   .0697328     0.55   0.584    -.0990037    .1754017
         12  |   .0243038    .071129     0.34   0.733    -.1156459    .1642535
         13  |   .0192509   .0700707     0.27   0.784    -.1186165    .1571183
             |
       _cons |   .3176441    .151146     2.10   0.036     .0202571    .6150311
------------------------------------------------------------------------------
(744 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,246         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,246    .1116676     .245436          0    3.19544
(744 missing values generated)
(744 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,246
Absorbed variable: factor_pair                    No. of categories =      303
                                                  F(19, 314)        = 1.04e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7848
                                                  Adj R-squared     =   0.7100
                                                  Root MSE          =   0.2619

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0790524   .0423412     1.87   0.063    -.0042559    .1623607
             |
 scale_group |
          2  |   .2169393   .1962406     1.11   0.270    -.1691734     .603052
          3  |          0  (omitted)
          4  |  -.0612835   .0457727    -1.34   0.182    -.1513435    .0287765
          5  |   -.005533   .0503954    -0.11   0.913    -.1046884    .0936223
          6  |  -.1860824   .0746223    -2.49   0.013    -.3329054   -.0392595
          7  |   -.020212   4.55e-08 -4.4e+05   0.000    -.0202121   -.0202119
          8  |          0  (omitted)
          9  |   .0259745   .0767089     0.34   0.735    -.1249539     .176903
         10  |  -.1054642   .0560083    -1.88   0.061    -.2156632    .0047349
         11  |  -.1380991   .0465828    -2.96   0.003    -.2297531   -.0464452
         12  |   .2774184   .2033279     1.36   0.173     -.122639    .6774758
             |
  year_group |
          5  |  -.0010336   .1085402    -0.01   0.992    -.2145917    .2125245
          6  |   .4237213   .2645913     1.60   0.110    -.0968748    .9443174
          7  |   .0457186   .1954159     0.23   0.815    -.3387716    .4302088
          8  |   .1084239   .1721451     0.63   0.529    -.2302798    .4471276
          9  |   .1321962   .1640894     0.81   0.421    -.1906575      .45505
         10  |   .1089641   .1689295     0.65   0.519    -.2234128    .4413411
         11  |   .0012928   .1716408     0.01   0.994    -.3364186    .3390042
         12  |   .0248478   .1722584     0.14   0.885    -.3140789    .3637745
         13  |   .0461751   .1723694     0.27   0.789    -.2929699      .38532
             |
       _cons |   .1381401    .171248     0.81   0.420    -.1987985    .4750788
------------------------------------------------------------------------------
(744 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,246         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,246     .265137     .475845          0   3.683617
(744 missing values generated)
(744 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,246
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9728
                                                    Adj R-squared     = 0.9634
                                                    Root MSE          = 0.0995

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0105462   .0190796     0.55   0.581    -.0269939    .0480863
             |
 scale_group |
          2  |   .0530903    .046139     1.15   0.251    -.0376903    .1438709
          3  |          0  (omitted)
          4  |   .0199597   .0236022     0.85   0.398    -.0264788    .0663981
          5  |   .0078074   .0235843     0.33   0.741    -.0385959    .0542108
          6  |   .0629785   .0533762     1.18   0.239    -.0420417    .1679987
          7  |  -.0119135          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0197638   .0344451     0.57   0.567    -.0480086    .0875363
         10  |   .0137303   .0264093     0.52   0.603    -.0382314    .0656919
         11  |   .0138418   .0271039     0.51   0.610    -.0394865    .0671701
         12  |   .0424163   .0469818     0.90   0.367    -.0500226    .1348552
             |
  year_group |
          5  |  -.1519652    .024589    -6.18   0.000    -.2003451   -.1035852
          6  |   .0206555   .0737757     0.28   0.780    -.1245017    .1658126
          7  |   -.045241   .0468611    -0.97   0.335    -.1374424    .0469603
          8  |  -.0318257   .0433738    -0.73   0.464    -.1171657    .0535143
          9  |  -.0517897   .0433839    -1.19   0.233    -.1371496    .0335702
         10  |   -.051012   .0433034    -1.18   0.240    -.1362134    .0341895
         11  |   -.036003   .0472352    -0.76   0.447    -.1289405    .0569344
         12  |  -.0305062   .0478172    -0.64   0.524    -.1245887    .0635764
         13  |  -.0273711   .0496952    -0.55   0.582    -.1251489    .0704066
             |
       _cons |   .3315658   .0467093     7.10   0.000      .239663    .4234686
------------------------------------------------------------------------------
(744 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,246         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,246     .304603    .4959619          0   2.784711
(744 missing values generated)
(744 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,246
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9498
                                                    Adj R-squared     = 0.9323
                                                    Root MSE          = 0.1283

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0201807   .0253345    -0.80   0.426    -.0700275    .0296662
             |
 scale_group |
          2  |   .3759017   .3778882     0.99   0.321    -.3676113    1.119415
          3  |          0  (omitted)
          4  |   .0107124   .0184026     0.58   0.561    -.0254956    .0469203
          5  |   .0081092   .0211851     0.38   0.702    -.0335735     .049792
          6  |   .0128611    .027876     0.46   0.645    -.0419863    .0677085
          7  |  -2.98e-08          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0082494   .0338076     0.24   0.807    -.0582686    .0747674
         10  |  -.0188529   .0243428    -0.77   0.439    -.0667485    .0290428
         11  |   .0004431    .032625     0.01   0.989    -.0637482    .0646344
         12  |   .4224456   .3844881     1.10   0.273    -.3340531    1.178944
             |
  year_group |
          5  |  -.2179811   .0276158    -7.89   0.000    -.2723165   -.1636457
          6  |  -.5933194   .1253282    -4.73   0.000    -.8399086   -.3467301
          7  |  -.7063372   .1291403    -5.47   0.000    -.9604269   -.4522474
          8  |  -.6837794   .1224063    -5.59   0.000    -.9246197   -.4429392
          9  |  -.6843193   .1208816    -5.66   0.000    -.9221597   -.4464789
         10  |  -.6696038   .1181108    -5.67   0.000    -.9019924   -.4372152
         11  |  -.6416881   .1197819    -5.36   0.000    -.8773647   -.4060114
         12  |  -.6375884   .1202803    -5.30   0.000    -.8742457   -.4009311
         13  |  -.6429641   .1218981    -5.27   0.000    -.8828043   -.4031238
             |
       _cons |   .8555296     .15047     5.69   0.000     .5594727    1.151587
------------------------------------------------------------------------------
(744 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,246         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,246    .2887157    .4746034          0   2.177867
(744 missing values generated)
(744 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,246
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9227
                                                    Adj R-squared     = 0.8959
                                                    Root MSE          = 0.1510

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |     .02949   .0263269     1.12   0.264    -.0223095    .0812894
             |
 scale_group |
          2  |  -.0681728   .0357471    -1.91   0.057    -.1385069    .0021612
          3  |    .696279   .2939002     2.37   0.018     .1180164    1.274542
          4  |  -.0237194   .0262845    -0.90   0.368    -.0754354    .0279967
          5  |    .022111    .027135     0.81   0.416    -.0312783    .0755003
          6  |  -.0529988   .0381295    -1.39   0.166    -.1280204    .0220228
          7  |          0  (omitted)
          8  |  -.0054648          .        .       .            .           .
          9  |   .0060019    .039058     0.15   0.878    -.0708466    .0828504
         10  |  -.0235628   .0356062    -0.66   0.509    -.0936197     .046494
         11  |  -.0613546   .0251886    -2.44   0.015    -.1109144   -.0117947
         12  |          0  (omitted)
             |
  year_group |
          5  |  -.0808235   .0594213    -1.36   0.175    -.1977377    .0360906
          6  |   .1681075   .1214426     1.38   0.167    -.0708366    .4070516
          7  |  -.0701094   .1165137    -0.60   0.548    -.2993555    .1591368
          8  |  -.0443523   .0931504    -0.48   0.634    -.2276301    .1389254
          9  |   -.038883   .0886277    -0.44   0.661    -.2132623    .1354962
         10  |   -.063784   .0921328    -0.69   0.489    -.2450597    .1174917
         11  |  -.1003596   .0932686    -1.08   0.283    -.2838701    .0831508
         12  |  -.1025644   .0940534    -1.09   0.276    -.2876189    .0824902
         13  |  -.0840401   .0944309    -0.89   0.374    -.2698373    .1017572
             |
       _cons |   .3419379   .0914106     3.74   0.000     .1620832    .5217927
------------------------------------------------------------------------------
(744 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,246         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,246    .2658763    .4583631          0   2.348924

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7514
                                                    Adj R-squared     = 0.6665
                                                    Root MSE          = 0.2337

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0162429   .0578588     0.28   0.779    -.0975928    .1300787
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0435906   .0616324    -0.71   0.480    -.1648508    .0776697
          3  |          0  (omitted)
          4  |  -.0315328   .0669204    -0.47   0.638    -.1631971    .1001315
          5  |  -.0953073   .0626515    -1.52   0.129    -.2185726     .027958
          6  |  -.0538781   .0793996    -0.68   0.498    -.2100948    .1023386
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |  -.1359182   .0758456    -1.79   0.074    -.2851426    .0133061
         10  |          0  (empty)
         11  |    .052868   .0638224     0.83   0.408    -.0727011    .1784371
         12  |   .0261806   .0277098     0.94   0.345    -.0283378     .080699
             |
  year_group |
          5  |   .0687812   .0076503     8.99   0.000     .0537295    .0838329
          6  |   -.059859   .2230082    -0.27   0.789    -.4986223    .3789043
          7  |    .126946   .0888678     1.43   0.154    -.0478992    .3017912
          8  |   .0917909   .0076503    12.00   0.000     .0767391    .1068426
          9  |   .1418766    .052312     2.71   0.007      .038954    .2447992
         10  |   .1624063   .0572291     2.84   0.005     .0498095    .2750032
         11  |     .32566   .0786724     4.14   0.000     .1708741     .480446
         12  |   .2711634   .0771684     3.51   0.001     .1193365    .4229902
         13  |   .2205389   .0763126     2.89   0.004     .0703957    .3706822
             |
       _cons |   .0303527   .0710361     0.43   0.669    -.1094091    .1701145
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,266    .2138093    .3997361          0   3.161935
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(0, 317)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8260
                                                    Adj R-squared     = 0.7666
                                                    Root MSE          = 0.2025

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0300043          .        .       .            .           .
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0542949          .        .       .            .           .
          3  |          0  (omitted)
          4  |   .0908112          .        .       .            .           .
          5  |   .0228888          .        .       .            .           .
          6  |  -.0060148          .        .       .            .           .
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0422213          .        .       .            .           .
         10  |          0  (empty)
         11  |   .0407358          .        .       .            .           .
         12  |   .0754475          .        .       .            .           .
             |
  year_group |
          5  |  -.3854078          .        .       .            .           .
          6  |   -.530458          .        .       .            .           .
          7  |  -.4524639          .        .       .            .           .
          8  |  -.3854078          .        .       .            .           .
          9  |  -.3582419          .        .       .            .           .
         10  |  -.2595859          .        .       .            .           .
         11  |  -.1801282          .        .       .            .           .
         12  |  -.2886112          .        .       .            .           .
         13  |  -.2340236          .        .       .            .           .
             |
       _cons |   .4873371          .        .       .            .           .
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,266    .2390942    .4226629          0   3.286896
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7515
                                                    Adj R-squared     = 0.6666
                                                    Root MSE          = 0.2151

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0040818   .0425769    -0.10   0.924    -.0878508    .0796871
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.3224755   .0685303    -4.71   0.000    -.4573072   -.1876438
          3  |          0  (omitted)
          4  |  -.0241356   .0401594    -0.60   0.548    -.1031482    .0548769
          5  |   -.024754   .0281062    -0.88   0.379    -.0800522    .0305442
          6  |  -.0240457   .0423862    -0.57   0.571    -.1074395    .0593481
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0351562    .038968     0.90   0.368    -.0415123    .1118247
         10  |          0  (empty)
         11  |   -.039231   .0371951    -1.05   0.292    -.1124115    .0339495
         12  |  -.2845705   .0274647   -10.36   0.000    -.3386066   -.2305344
             |
  year_group |
          5  |    .292682   .1203116     2.43   0.016      .055972    .5293921
          6  |  -.2789319   .1426038    -1.96   0.051    -.5595013    .0016375
          7  |  -.2906657   .1344882    -2.16   0.031    -.5552679   -.0260636
          8  |  -.2229811   .1203116    -1.85   0.065    -.4596912    .0137289
          9  |  -.2453858   .1287488    -1.91   0.058    -.4986959    .0079244
         10  |  -.3015945   .1281391    -2.35   0.019     -.553705    -.049484
         11  |  -.2554809   .1284148    -1.99   0.048     -.508134   -.0028278
         12  |  -.2522538    .130888    -1.93   0.055    -.5097727    .0052652
         13  |  -.2646137   .1297382    -2.04   0.042    -.5198705   -.0093569
             |
       _cons |     .58642   .1268132     4.62   0.000     .3369181    .8359219
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,266    .2628891    .4218879          0    3.12905
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6050
                                                    Adj R-squared     = 0.4702
                                                    Root MSE          = 0.2074

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0148055   .0329321     0.45   0.653    -.0499877    .0795986
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1897991   .0762015     2.49   0.013     .0398745    .3397237
          3  |          0  (omitted)
          4  |   .0643171   .0330952     1.94   0.053     -.000797    .1294312
          5  |   .0811806   .0250255     3.24   0.001     .0319435    .1304177
          6  |   .0428337   .0374843     1.14   0.254    -.0309158    .1165832
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |  -.0086402    .039129    -0.22   0.825    -.0856256    .0683452
         10  |          0  (empty)
         11  |   .0625877   .0290336     2.16   0.032     .0054649    .1197106
         12  |   .0217763   .0221688     0.98   0.327    -.0218402    .0653929
             |
  year_group |
          5  |   .2302864   .1559012     1.48   0.141    -.0764455    .5370182
          6  |  -.0293219   .1786006    -0.16   0.870    -.3807143    .3220706
          7  |  -.1429273   .1736011    -0.82   0.411    -.4844832    .1986286
          8  |  -.1184827   .1559012    -0.76   0.448    -.4252146    .1882491
          9  |  -.1590633    .161293    -0.99   0.325    -.4764034    .1582768
         10  |  -.1312507   .1612375    -0.81   0.416    -.4484814    .1859801
         11  |   -.136166   .1619623    -0.84   0.401     -.454823    .1824909
         12  |  -.1359267   .1621964    -0.84   0.403    -.4550443    .1831908
         13  |  -.1301267   .1632574    -0.80   0.426    -.4513317    .1910782
             |
       _cons |   .1928033   .1597734     1.21   0.228     -.121547    .5071536
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,266    .1274088     .273659          0   2.123507
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7695
                                                    Adj R-squared     = 0.6908
                                                    Root MSE          = 0.2498

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0514044   .0483549     1.06   0.289    -.0437327    .1465414
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0651986   .1365692     0.48   0.633    -.2034981    .3338952
          3  |          0  (omitted)
          4  |  -.0459405   .0544293    -0.84   0.399    -.1530288    .0611478
          5  |   .0195639   .0494967     0.40   0.693    -.0778196    .1169474
          6  |  -.0546358   .0507981    -1.08   0.283    -.1545798    .0453082
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |  -.0596827   .0628931    -0.95   0.343    -.1834235     .064058
         10  |          0  (empty)
         11  |  -.0933698   .0455345    -2.05   0.041    -.1829579   -.0037818
         12  |   .1766955   .1067178     1.66   0.099    -.0332691    .3866601
             |
  year_group |
          5  |  -.1028574   .1829392    -0.56   0.574    -.4627859    .2570711
          6  |   .1978255   .2018735     0.98   0.328    -.1993557    .5950066
          7  |   .0924995   .2021032     0.46   0.647    -.3051336    .4901325
          8  |    .176449   .1829392     0.96   0.336    -.1834795    .5363775
          9  |   .2386299   .2021456     1.18   0.239    -.1590867    .6363465
         10  |   .2068556   .2015603     1.03   0.306    -.1897095    .6034206
         11  |   .0934175   .2034565     0.46   0.646    -.3068782    .4937132
         12  |   .1063284   .2031509     0.52   0.601    -.2933661     .506023
         13  |   .0952563    .204188     0.47   0.641    -.3064786    .4969911
             |
       _cons |   .0815491    .202066     0.40   0.687    -.3160107     .479109
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,266    .2614439    .4495929          0   3.020041
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9722
                                                    Adj R-squared     = 0.9627
                                                    Root MSE          = 0.0925

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0160032   .0162258     0.99   0.325    -.0159207    .0479272
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0003307     .01867     0.02   0.986    -.0364021    .0370635
          3  |          0  (omitted)
          4  |   .0508396   .0250631     2.03   0.043     .0015286    .1001507
          5  |   .0275069   .0244385     1.13   0.261    -.0205752     .075589
          6  |   .0593048   .0349702     1.70   0.091    -.0094983    .1281079
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0547682   .0261041     2.10   0.037     .0034091    .1061273
         10  |          0  (empty)
         11  |   .0632998   .0409427     1.55   0.123    -.0172539    .1438534
         12  |   .0196267   .0118746     1.65   0.099    -.0037364    .0429897
             |
  year_group |
          5  |  -.2020458   .0321415    -6.29   0.000    -.2652834   -.1388083
          6  |   .0855844   .1093311     0.78   0.434    -.1295219    .3006907
          7  |    .004552   .0348432     0.13   0.896    -.0640012    .0731053
          8  |   .0155366   .0321415     0.48   0.629     -.047701    .0787741
          9  |   .0150299   .0351707     0.43   0.669    -.0541677    .0842274
         10  |   .0031569   .0354842     0.09   0.929    -.0666573    .0729712
         11  |   .0192595   .0425213     0.45   0.651    -.0644001    .1029191
         12  |   .0247057   .0422296     0.59   0.559      -.05838    .1077914
         13  |   .0293344    .042147     0.70   0.487    -.0535889    .1122576
             |
       _cons |   .2452326   .0432806     5.67   0.000     .1600792    .3303861
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,266    .2906393    .4715005          0   2.316288
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9582
                                                    Adj R-squared     = 0.9439
                                                    Root MSE          = 0.1095

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.002012   .0234951    -0.09   0.932    -.0482381    .0442141
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0072672    .055712     0.13   0.896    -.1023448    .1168791
          3  |          0  (omitted)
          4  |   .0080397   .0188787     0.43   0.670    -.0291036     .045183
          5  |   .0005706   .0174966     0.03   0.974    -.0338536    .0349948
          6  |  -.0111126   .0226671    -0.49   0.624    -.0557096    .0334844
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   -.026199   .0245717    -1.07   0.287    -.0745432    .0221452
         10  |          0  (empty)
         11  |  -.0047041   .0276838    -0.17   0.865    -.0591714    .0497632
         12  |   .0117038   .0260377     0.45   0.653    -.0395248    .0629324
             |
  year_group |
          5  |  -.2367215   .0353567    -6.70   0.000    -.3062849   -.1671581
          6  |  -.3671547     .11211    -3.27   0.001    -.5877284    -.146581
          7  |  -.4935726   .0449271   -10.99   0.000    -.5819657   -.4051796
          8  |  -.4658072   .0353567   -13.17   0.000    -.5353705   -.3962438
          9  |  -.4555312    .041355   -11.02   0.000    -.5368962   -.3741663
         10  |  -.4725495   .0420791   -11.23   0.000    -.5553392   -.3897598
         11  |   -.432415   .0447479    -9.66   0.000    -.5204555   -.3443745
         12  |  -.4432832   .0471154    -9.41   0.000    -.5359817   -.3505847
         13  |  -.4539559    .050176    -9.05   0.000    -.5526759   -.3552358
             |
       _cons |   .7454303   .0437815    17.03   0.000     .6592911    .8315694
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,266    .2841434    .4551344          0    2.44838
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8020
                                                    Adj R-squared     = 0.7344
                                                    Root MSE          = 0.2489

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .124304   .0534452     2.33   0.021      .019152    .2294561
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0205772   .0891959     0.23   0.818    -.1549135    .1960678
          3  |          0  (omitted)
          4  |   .0170746   .0710401     0.24   0.810    -.1226951    .1568444
          5  |   .0406694   .0640603     0.63   0.526    -.0853677    .1667065
          6  |   .1236936   .0726272     1.70   0.090    -.0191986    .2665858
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0358087   .0835945     0.43   0.669    -.1286614    .2002787
         10  |          0  (empty)
         11  |   .1199525   .0689608     1.74   0.083    -.0157262    .2556313
         12  |   .1338053    .071568     1.87   0.062    -.0070031    .2746137
             |
  year_group |
          5  |  -.1016355   .0710466    -1.43   0.154     -.241418    .0381471
          6  |  -.1069395   .1567937    -0.68   0.496    -.4154272    .2015482
          7  |   .0053246   .1262878     0.04   0.966    -.2431436    .2537928
          8  |   .0251877   .0710466     0.35   0.723    -.1145949    .1649702
          9  |  -.0155057   .0950537    -0.16   0.871    -.2025214    .1715101
         10  |   .0441008    .096932     0.45   0.649    -.1466105    .2348121
         11  |   .1042713     .10036     1.04   0.300    -.0931845    .3017271
         12  |   .0902959   .1039508     0.87   0.386    -.1142248    .2948166
         13  |   .0354945   .1041375     0.34   0.733    -.1693935    .2403824
             |
       _cons |   .1621313   .1041936     1.56   0.121    -.0428672    .3671297
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,266    .3241867    .4822288          0   2.759606

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(714 missing values generated)
(714 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,276
Absorbed variable: factor_pair                    No. of categories =      297
                                                  F(18, 315)        = 3.96e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7655
                                                  Adj R-squared     =   0.6889
                                                  Root MSE          =   0.2376

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.1075476   .0549247    -1.96   0.051    -.2156132     .000518
             |
 scale_group |
          2  |  -.0242781   .0954535    -0.25   0.799    -.2120852    .1635289
          3  |          0  (omitted)
          4  |   .1352954   .0530621     2.55   0.011     .0308945    .2396963
          5  |   .0503149   .0531642     0.95   0.345    -.0542869    .1549168
          6  |   .0683154   .0763254     0.90   0.371    -.0818566    .2184874
          7  |   .2627866   .1326284     1.98   0.048     .0018371    .5237362
          8  |          0  (empty)
          9  |   .0680018   .0673517     1.01   0.313    -.0645142    .2005178
         10  |          0  (empty)
         11  |    .178253   .0725191     2.46   0.015       .03557    .3209361
         12  |   .0093468   .0846997     0.11   0.912    -.1573019    .1759954
             |
  year_group |
          5  |   .0137754   1.63e-08  8.4e+05   0.000     .0137754    .0137754
          6  |  -.2631566   .1919259    -1.37   0.171    -.6407753    .1144621
          7  |   .0642013   .1299519     0.49   0.622    -.1914821    .3198846
          8  |   .0782273   .1098704     0.71   0.477    -.1379454    .2943999
          9  |   .0680099   .0956731     0.71   0.478    -.1202292     .256249
         10  |   .1440281   .0998266     1.44   0.150    -.0523831    .3404392
         11  |   .2268058   .1129384     2.01   0.045     .0045968    .4490147
         12  |   .2009172   .1097532     1.83   0.068    -.0150248    .4168593
         13  |   .2010652   .1263714     1.59   0.113    -.0475736    .4497039
             |
       _cons |   .0492941   .1108267     0.44   0.657    -.1687601    .2673483
------------------------------------------------------------------------------
(714 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,276         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,276    .2209028    .4196121          0   3.465502
(714 missing values generated)
(714 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,276
Absorbed variable: factor_pair                      No. of categories =    297
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8044
                                                    Adj R-squared     = 0.7405
                                                    Root MSE          = 0.2318

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0513194   .0548887     0.93   0.351    -.0566753    .1593142
             |
 scale_group |
          2  |  -.0010059    .065991    -0.02   0.988    -.1308447    .1288328
          3  |          0  (omitted)
          4  |   .0908811   .0297142     3.06   0.002     .0324178    .1493444
          5  |   .0760167   .0323422     2.35   0.019     .0123826    .1396508
          6  |   .0847824    .053686     1.58   0.115    -.0208461    .1904109
          7  |   .1268113   .0684091     1.85   0.065    -.0077853    .2614079
          8  |          0  (empty)
          9  |   .0772118   .0347246     2.22   0.027     .0088903    .1455334
         10  |          0  (empty)
         11  |   .0890997   .0480495     1.85   0.065    -.0054388    .1836382
         12  |   .0620502   .0370511     1.67   0.095    -.0108488    .1349491
             |
  year_group |
          5  |  -.3335038          .        .       .            .           .
          6  |   -.286263   .1487333    -1.92   0.055    -.5788993    .0063733
          7  |  -.3119469   .1169616    -2.67   0.008    -.5420715   -.0818222
          8  |  -.2384356   .1065805    -2.24   0.026    -.4481353   -.0287359
          9  |  -.2069984   .1041437    -1.99   0.048    -.4119037   -.0020932
         10  |  -.1334996   .1028451    -1.30   0.195    -.3358498    .0688506
         11  |  -.0703448   .1109206    -0.63   0.526    -.2885837    .1478941
         12  |  -.1382616   .1085896    -1.27   0.204    -.3519142    .0753909
         13  |  -.0598987   .1299839    -0.46   0.645     -.315645    .1958476
             |
       _cons |   .3050562    .110463     2.76   0.006     .0877176    .5223948
------------------------------------------------------------------------------
(714 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,276         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,276    .2472455    .4516041          0   3.529402
(714 missing values generated)
(714 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,276
Absorbed variable: factor_pair                    No. of categories =      297
                                                  F(18, 315)        = 1.00e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7602
                                                  Adj R-squared     =   0.6819
                                                  Root MSE          =   0.1875

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .025284   .0298259     0.85   0.397    -.0333992    .0839671
             |
 scale_group |
          2  |  -.0910599   .0563582    -1.62   0.107     -.201946    .0198262
          3  |          0  (omitted)
          4  |   .1051309   .0575802     1.83   0.069    -.0081595    .2184212
          5  |   .0617098   .0588129     1.05   0.295     -.054006    .1774256
          6  |   .0156446   .0678845     0.23   0.818    -.1179196    .1492089
          7  |   .0195059   .0654656     0.30   0.766    -.1092992    .1483109
          8  |          0  (empty)
          9  |   .0924031   .0772039     1.20   0.232    -.0594974    .2443036
         10  |          0  (empty)
         11  |    .106938   .0648568     1.65   0.100    -.0206693    .2345452
         12  |  -.0697691   .0474955    -1.47   0.143    -.1632177    .0236795
             |
  year_group |
          5  |   .0994349   2.34e-08  4.3e+06   0.000     .0994349     .099435
          6  |   .0397855   .0756576     0.53   0.599    -.1090726    .1886435
          7  |   .0780643    .076382     1.02   0.308     -.072219    .2283475
          8  |  -.0395358   .0560106    -0.71   0.481     -.149738    .0706663
          9  |  -.0335706   .0432803    -0.78   0.439    -.1187256    .0515845
         10  |  -.0266851   .0443185    -0.60   0.548    -.1138828    .0605126
         11  |   -.018713   .0487174    -0.38   0.701    -.1145656    .0771397
         12  |  -.0138892   .0510309    -0.27   0.786    -.1142937    .0865154
         13  |  -.0043161   .0510888    -0.08   0.933    -.1048345    .0962022
             |
       _cons |    .173924   .0652607     2.67   0.008     .0455221    .3023259
------------------------------------------------------------------------------
(714 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,276         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,276    .2164327    .3432975          0   2.325649
(714 missing values generated)
(714 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,276
Absorbed variable: factor_pair                    No. of categories =      297
                                                  F(18, 315)        = 3.96e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.4519
                                                  Adj R-squared     =   0.2728
                                                  Root MSE          =   0.2520

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0238905   .0402536     0.59   0.553    -.0553095    .1030904
             |
 scale_group |
          2  |   .0817086    .063174     1.29   0.197    -.0425877    .2060048
          3  |          0  (omitted)
          4  |   .0441756   .0277716     1.59   0.113    -.0104657    .0988169
          5  |   .0675915   .0344122     1.96   0.050    -.0001154    .1352984
          6  |   .0701738   .0457601     1.53   0.126    -.0198602    .1602079
          7  |   -.019335   .0430633    -0.45   0.654    -.1040629     .065393
          8  |          0  (empty)
          9  |  -.0764577    .061351    -1.25   0.214    -.1971672    .0442517
         10  |          0  (empty)
         11  |   .1169179   .0439513     2.66   0.008     .0304427    .2033932
         12  |   .0069198   .0280244     0.25   0.805    -.0482188    .0620584
             |
  year_group |
          5  |   .0573882   6.80e-08  8.4e+05   0.000     .0573881    .0573883
          6  |   .2434677   .1064728     2.29   0.023     .0339801    .4529554
          7  |   .2070527   .1688442     1.23   0.221    -.1251521    .5392576
          8  |   .0854341   .0821091     1.04   0.299    -.0761175    .2469857
          9  |   .0615018   .0739893     0.83   0.406     -.084074    .2070775
         10  |   .0715517   .0757437     0.94   0.346    -.0774758    .2205792
         11  |   .0723437   .0791131     0.91   0.361    -.0833132    .2280007
         12  |   .0676598   .0793645     0.85   0.395    -.0884918    .2238113
         13  |   .0479897   .0801156     0.60   0.550    -.1096396     .205619
             |
       _cons |  -.0031392   .0820348    -0.04   0.969    -.1645447    .1582663
------------------------------------------------------------------------------
(714 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,276         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,276    .1190811    .2709494          0   3.159509
(714 missing values generated)
(714 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,276
Absorbed variable: factor_pair                    No. of categories =      297
                                                  F(18, 315)        = 1.36e+11
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7868
                                                  Adj R-squared     =   0.7171
                                                  Root MSE          =   0.2563

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0576297   .0493891     1.17   0.244    -.0395444    .1548039
             |
 scale_group |
          2  |   -.178305   .0912069    -1.95   0.051    -.3577567    .0011467
          3  |          0  (omitted)
          4  |  -.0549568   .0406421    -1.35   0.177    -.1349212    .0250075
          5  |  -.0302924   .0422304    -0.72   0.474    -.1133818    .0527969
          6  |  -.1388194   .0717812    -1.93   0.054    -.2800506    .0024119
          7  |   .0044743   .0698099     0.06   0.949    -.1328783    .1418269
          8  |          0  (empty)
          9  |   .0148346   .0780099     0.19   0.849    -.1386517     .168321
         10  |          0  (empty)
         11  |  -.1129275   .0551188    -2.05   0.041    -.2213751   -.0044799
         12  |   -.033138   .0686991    -0.48   0.630    -.1683051     .102029
             |
  year_group |
          5  |   .1220499   7.80e-08  1.6e+06   0.000     .1220498    .1220501
          6  |   .4653244   .2148024     2.17   0.031     .0426955    .8879532
          7  |  -.0605807   .1334125    -0.45   0.650     -.323073    .2019116
          8  |  -.0185824   .1002496    -0.19   0.853    -.2158258    .1786609
          9  |   .0108687   .0783384     0.14   0.890    -.1432638    .1650013
         10  |  -.0454165   .0806787    -0.56   0.574    -.2041537    .1133208
         11  |  -.2016264   .0883919    -2.28   0.023    -.3755395   -.0277132
         12  |  -.1397895   .0863045    -1.62   0.106    -.3095957    .0300166
         13  |  -.1573646   .0919643    -1.71   0.088    -.3383066    .0235774
             |
       _cons |   .3870004   .0883989     4.38   0.000     .2130735    .5609273
------------------------------------------------------------------------------
(714 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,276         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,276    .2633383    .4657592          0    3.86834
(714 missing values generated)
(714 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,276
Absorbed variable: factor_pair                      No. of categories =    297
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9742
                                                    Adj R-squared     = 0.9658
                                                    Root MSE          = 0.0972

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0082896   .0153527     0.54   0.590    -.0219171    .0384963
             |
 scale_group |
          2  |  -.0092513   .0147205    -0.63   0.530    -.0382143    .0197117
          3  |          0  (omitted)
          4  |   .0151951   .0135515     1.12   0.263    -.0114678     .041858
          5  |   .0035366    .011144     0.32   0.751    -.0183896    .0254627
          6  |    .024476   .0309069     0.79   0.429    -.0363341    .0852861
          7  |  -.0274118   .0184434    -1.49   0.138    -.0636997    .0088761
          8  |          0  (empty)
          9  |   .0219247   .0139285     1.57   0.116      -.00548    .0493294
         10  |          0  (empty)
         11  |   .0048491   .0176466     0.27   0.784    -.0298709    .0395691
         12  |  -.0063399   .0087298    -0.73   0.468    -.0235159    .0108362
             |
  year_group |
          5  |  -.1192101          .        .       .            .           .
          6  |   .0474568   .0715269     0.66   0.508    -.0932741    .1881877
          7  |  -.0673565   .0328259    -2.05   0.041    -.1319422   -.0027708
          8  |  -.0652285   .0277833    -2.35   0.020    -.1198928   -.0105642
          9  |  -.0733388   .0262628    -2.79   0.006    -.1250116   -.0216661
         10  |   -.076842   .0268163    -2.87   0.004    -.1296037   -.0240803
         11  |  -.0745766   .0327646    -2.28   0.024    -.1390416   -.0101116
         12  |  -.0509255   .0344255    -1.48   0.140    -.1186586    .0168076
         13  |  -.0520992   .0390972    -1.33   0.184    -.1290238    .0248254
             |
       _cons |   .3818471   .0302065    12.64   0.000      .322415    .4412792
------------------------------------------------------------------------------
(714 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,276         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,276    .3046488    .5076057          0   2.376733
(714 missing values generated)
(714 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,276
Absorbed variable: factor_pair                    No. of categories =      297
                                                  F(18, 315)        = 1.49e+13
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9454
                                                  Adj R-squared     =   0.9276
                                                  Root MSE          =   0.1373

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0497161   .0328651    -1.51   0.131    -.1143789    .0149467
             |
 scale_group |
          2  |  -.1661829   .1138511    -1.46   0.145    -.3901876    .0578218
          3  |          0  (omitted)
          4  |   .0060958   .0209863     0.29   0.772    -.0351952    .0473868
          5  |   -.016333   .0161323    -1.01   0.312    -.0480735    .0154076
          6  |  -.0028245   .0301222    -0.09   0.925    -.0620906    .0564416
          7  |  -.0223122   .0357389    -0.62   0.533    -.0926292    .0480049
          8  |          0  (empty)
          9  |  -.0529725    .045125    -1.17   0.241     -.141757     .035812
         10  |          0  (empty)
         11  |  -.0080088   .0469741    -0.17   0.865    -.1004316    .0844139
         12  |  -.0721025   .0998254    -0.72   0.471    -.2685113    .1243063
             |
  year_group |
          5  |  -.1951131   1.19e-08 -1.6e+07   0.000    -.1951131   -.1951131
          6  |  -.4392107   .1070282    -4.10   0.000    -.6497911   -.2286302
          7  |  -.6405718   .0906032    -7.07   0.000    -.8188358   -.4623079
          8  |  -.6466347   .0793728    -8.15   0.000    -.8028025   -.4904669
          9  |  -.6196019    .075964    -8.16   0.000    -.7690629   -.4701409
         10  |   -.634129   .0770086    -8.23   0.000    -.7856452   -.4826127
         11  |  -.6073743   .0773897    -7.85   0.000    -.7596404   -.4551083
         12  |  -.6144306     .07945    -7.73   0.000    -.7707503   -.4581108
         13  |  -.5992157   .0829046    -7.23   0.000    -.7623324    -.436099
             |
       _cons |   .9827421   .0851014    11.55   0.000     .8153031    1.150181
------------------------------------------------------------------------------
(714 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,276         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,276    .2972774     .493669          0   2.403939
(714 missing values generated)
(714 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,276
Absorbed variable: factor_pair                      No. of categories =    297
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8139
                                                    Adj R-squared     = 0.7531
                                                    Root MSE          = 0.2604

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0715755   .0562488     1.27   0.204    -.0390954    .1822463
             |
 scale_group |
          2  |  -.1100646   .0782271    -1.41   0.160    -.2639784    .0438491
          3  |          0  (omitted)
          4  |  -.0004076   .0405938    -0.01   0.992    -.0802768    .0794615
          5  |   .0303765   .0469967     0.65   0.519    -.0620906    .1228436
          6  |   .0654089   .0788511     0.83   0.407    -.0897325    .2205503
          7  |   .0430941    .071412     0.60   0.547    -.0974106    .1835988
          8  |          0  (empty)
          9  |   .0410612   .0692688     0.59   0.554    -.0952268    .1773492
         10  |          0  (empty)
         11  |   .0677884   .0632036     1.07   0.284    -.0565663     .192143
         12  |   .0389752   .0418403     0.93   0.352    -.0433466     .121297
             |
  year_group |
          5  |   -.180444          .        .       .            .           .
          6  |   .0092803   .1064102     0.09   0.931    -.2000843    .2186449
          7  |  -.0390573   .1340823    -0.29   0.771    -.3028674    .2247527
          8  |  -.1850911    .110288    -1.68   0.094    -.4020854    .0319032
          9  |  -.2195573   .1012598    -2.17   0.031    -.4187883   -.0203262
         10  |  -.1715716   .1065352    -1.61   0.108     -.381182    .0380389
         11  |  -.1765869   .1086604    -1.63   0.105    -.3903789    .0372051
         12  |  -.1738027   .1083264    -1.60   0.110    -.3869376    .0393321
         13  |   -.131838   .1122776    -1.17   0.241    -.3527469    .0890708
             |
       _cons |   .4731292   .1154773     4.10   0.000      .245925    .7003335
------------------------------------------------------------------------------
(714 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,276         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,276    .3330911    .5091599          0   2.880866

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(18, 309)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7383
                                                    Adj R-squared     = 0.6448
                                                    Root MSE          = 0.2355

                        (Std. err. adjusted for 310 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.053192   .0556891    -0.96   0.340    -.1627699    .0563859
             |
 scale_group |
          2  |     .03252   .1435587     0.23   0.821    -.2499563    .3149962
          3  |          0  (omitted)
          4  |   .2201601   .0471275     4.67   0.000     .1274286    .3128915
          5  |   .1428479   .0864531     1.65   0.099    -.0272633    .3129591
          6  |   .2440523    .068978     3.54   0.000     .1083262    .3797784
          7  |   .2514078   .0932097     2.70   0.007     .0680017    .4348138
          8  |   .2595708   .0932097     2.78   0.006     .0761647    .4429768
          9  |   .1501834   .0788753     1.90   0.058    -.0050172     .305384
         10  |   .2404749   .1267856     1.90   0.059    -.0089974    .4899473
         11  |   .3438547   .0674536     5.10   0.000     .2111282    .4765812
         12  |   .0419046   .1479029     0.28   0.777    -.2491195    .3329288
             |
  year_group |
          5  |   .0617096   .0073009     8.45   0.000     .0473438    .0760754
          6  |   -.129613   .1819656    -0.71   0.477    -.4876614    .2284354
          7  |   .1537649   .1664669     0.92   0.356    -.1737872     .481317
          8  |   .0771134   .1462554     0.53   0.598     -.210669    .3648958
          9  |   .1131087   .1468935     0.77   0.442    -.1759294    .4021468
         10  |   .1899712   .1508243     1.26   0.209    -.1068014    .4867437
         11  |   .2425118   .1555621     1.56   0.120    -.0635833    .5486069
         12  |   .2377871   .1549793     1.53   0.126    -.0671612    .5427354
         13  |   .1706598   .1560514     1.09   0.275    -.1363979    .4777175
             |
       _cons |  -.0898032   .1597538    -0.56   0.574    -.4041462    .2245398
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         738           0        738        738

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,212    .2154831    .3959684          0    2.48532
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(17, 309)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8346
                                                    Adj R-squared     = 0.7754
                                                    Root MSE          = 0.2115

                        (Std. err. adjusted for 310 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0300263   .0545016    -0.55   0.582    -.1372676     .077215
             |
 scale_group |
          2  |   .1452347   .0633924     2.29   0.023     .0204992    .2699701
          3  |          0  (omitted)
          4  |   .1681005   .0438447     3.83   0.000     .0818284    .2543725
          5  |   .1181409   .0675741     1.75   0.081    -.0148227    .2511045
          6  |   .1178594    .058138     2.03   0.043      .003463    .2322558
          7  |   .1437072   .0734363     1.96   0.051    -.0007912    .2882057
          8  |   .1437072   .0734363     1.96   0.051    -.0007912    .2882057
          9  |   .1348557   .0539113     2.50   0.013     .0287761    .2409353
         10  |   .1248797    .064391     1.94   0.053    -.0018206    .2515801
         11  |   .1343896   .0609827     2.20   0.028     .0143956    .2543835
         12  |    .146412   .0716348     2.04   0.042     .0054582    .2873657
             |
  year_group |
          5  |  -.4141213          .        .       .            .           .
          6  |  -.4061557   .1795701    -2.26   0.024    -.7594906   -.0528209
          7  |  -.3813918   .1227257    -3.11   0.002    -.6228756    -.139908
          8  |  -.3082684   .1104147    -2.79   0.006    -.5255282   -.0910086
          9  |  -.2659303   .1122547    -2.37   0.018    -.4868105     -.04505
         10  |    -.20314   .1099786    -1.85   0.066    -.4195417    .0132617
         11  |  -.1168298    .118505    -0.99   0.325    -.3500087     .116349
         12  |  -.1970265   .1161984    -1.70   0.091    -.4256667    .0316136
         13  |  -.0927203   .1264469    -0.73   0.464    -.3415263    .1560856
             |
       _cons |   .3438642   .1262779     2.72   0.007     .0953908    .5923376
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         738           0        738        738

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,212    .2522047    .4391141          0   3.050205
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(18, 309)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7923
                                                    Adj R-squared     = 0.7180
                                                    Root MSE          = 0.1843

                        (Std. err. adjusted for 310 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0339209   .0385874     0.88   0.380    -.0420063    .1098481
             |
 scale_group |
          2  |   .0262131   .0457477     0.57   0.567    -.0638033    .1162295
          3  |          0  (omitted)
          4  |  -.0368994    .024286    -1.52   0.130    -.0846863    .0108875
          5  |  -.0529589   .0465319    -1.14   0.256    -.1445183    .0386005
          6  |  -.0912157   .0416271    -2.19   0.029    -.1731241   -.0093072
          7  |  -.1146763   .0589085    -1.95   0.052    -.2305888    .0012362
          8  |  -.1146763   .0589085    -1.95   0.052    -.2305888    .0012362
          9  |  -.0154788   .0535315    -0.29   0.773    -.1208112    .0898537
         10  |   .1836931   .0871002     2.11   0.036     .0123085    .3550777
         11  |  -.0260878    .045605    -0.57   0.568    -.1158234    .0636479
         12  |  -.0090288    .045905    -0.20   0.844    -.0993547    .0812971
             |
  year_group |
          5  |   .3127945   .1293566     2.42   0.016     .0582634    .5673257
          6  |  -.2455893   .1799841    -1.36   0.173    -.5997388    .1085602
          7  |  -.2839014   .1619532    -1.75   0.081    -.6025719    .0347692
          8  |  -.2334433   .1563618    -1.49   0.136    -.5411118    .0742252
          9  |  -.2412091   .1552333    -1.55   0.121    -.5466571    .0642389
         10  |  -.2300693   .1541903    -1.49   0.137    -.5334651    .0733265
         11  |  -.2669687   .1557803    -1.71   0.088    -.5734931    .0395557
         12  |  -.2407243    .156932    -1.53   0.126    -.5495148    .0680662
         13  |  -.2395645    .156542    -1.53   0.127    -.5475877    .0684587
             |
       _cons |   .4617729   .1581436     2.92   0.004     .1505982    .7729475
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         738           0        738        738

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,212    .2119636    .3622601          0   2.806556
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(18, 309)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6515
                                                    Adj R-squared     = 0.5269
                                                    Root MSE          = 0.1856

                        (Std. err. adjusted for 310 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0795974   .0382682     2.08   0.038     .0042982    .1548966
             |
 scale_group |
          2  |     .12024   .0726151     1.66   0.099    -.0226425    .2631226
          3  |          0  (omitted)
          4  |   .0769828   .0290601     2.65   0.008     .0198021    .1341635
          5  |   .0688841   .0432812     1.59   0.113     -.016279    .1540473
          6  |    .094168   .0604063     1.56   0.120    -.0246917    .2130277
          7  |  -.0773465   .0641894    -1.20   0.229    -.2036502    .0489572
          8  |  -.0773465   .0641894    -1.20   0.229    -.2036502    .0489572
          9  |  -.0485702    .039325    -1.24   0.218    -.1259489    .0288085
         10  |  -.0293683    .040133    -0.73   0.465    -.1083367    .0496002
         11  |   .0263137   .0393627     0.67   0.504    -.0511391    .1037665
         12  |   .0504904   .0600338     0.84   0.401    -.0676364    .1686172
             |
  year_group |
          5  |   .1374926   .1041431     1.32   0.188    -.0674267    .3424119
          6  |   .3423458   .1761766     1.94   0.053    -.0043117    .6890033
          7  |   .1973994   .1838948     1.07   0.284    -.1644451    .5592438
          8  |   .1503282   .1835763     0.82   0.413    -.2108895    .5115458
          9  |   .1730245   .1853687     0.93   0.351      -.19172     .537769
         10  |   .1798662   .1876682     0.96   0.339    -.1894032    .5491355
         11  |   .2079678   .1868714     1.11   0.267    -.1597337    .5756692
         12  |    .195708   .1865876     1.05   0.295     -.171435    .5628511
         13  |   .2071368   .1882976     1.10   0.272     -.163371    .5776445
             |
       _cons |  -.1618051   .1860573    -0.87   0.385    -.5279047    .2042945
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         738           0        738        738

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,212    .1218167    .2704083          0   2.462539
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(18, 309)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7987
                                                    Adj R-squared     = 0.7267
                                                    Root MSE          = 0.2477

                        (Std. err. adjusted for 310 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0116091   .0392596     0.30   0.768    -.0656407     .088859
             |
 scale_group |
          2  |   -.115932   .0752337    -1.54   0.124    -.2639672    .0321033
          3  |          0  (omitted)
          4  |  -.0079965   .0378244    -0.21   0.833    -.0824224    .0664294
          5  |   .0227215   .0668993     0.34   0.734    -.1089142    .1543572
          6  |  -.0894682   .0577407    -1.55   0.122    -.2030828    .0241464
          7  |   .0045525   .0676872     0.07   0.946    -.1286336    .1377386
          8  |   .0121898   .0676872     0.18   0.857    -.1209963    .1453759
          9  |  -.0069628   .0730223    -0.10   0.924    -.1506467    .1367211
         10  |  -.0628471     .06493    -0.97   0.334    -.1906079    .0649137
         11  |  -.0665455   .0615985    -1.08   0.281     -.187751      .05466
         12  |  -.1268663   .0662897    -1.91   0.057    -.2573026      .00357
             |
  year_group |
          5  |  -.0505405   .1389228    -0.36   0.716    -.3238949    .2228139
          6  |   .3784074    .295224     1.28   0.201    -.2024964    .9593111
          7  |  -.0258099   .2149114    -0.12   0.904    -.4486848     .397065
          8  |   .1053041   .2035284     0.52   0.605    -.2951728     .505781
          9  |   .1443416   .2003898     0.72   0.472    -.2499596    .5386428
         10  |   .1257827   .2049818     0.61   0.540     -.277554    .5291195
         11  |   .0156731   .2066691     0.08   0.940    -.3909837      .42233
         12  |   -.025885   .2072286    -0.12   0.901    -.4336427    .3818727
         13  |  -.0071739   .2082376    -0.03   0.973    -.4169169    .4025691
             |
       _cons |   .2376902   .2058859     1.15   0.249    -.1674255    .6428059
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         738           0        738        738

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,212    .2602693     .473593          0   3.480523
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(18, 309)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9692
                                                    Adj R-squared     = 0.9582
                                                    Root MSE          = 0.0996

                        (Std. err. adjusted for 310 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0258136   .0240764     1.07   0.284    -.0215609    .0731881
             |
 scale_group |
          2  |    .000843   .0225255     0.04   0.970    -.0434798    .0451658
          3  |          0  (omitted)
          4  |   .0384104   .0245098     1.57   0.118    -.0098168    .0866375
          5  |   .0215741   .0328795     0.66   0.512     -.043122    .0862702
          6  |   .0646554   .0507134     1.27   0.203    -.0351319    .1644428
          7  |  -.0152679   .0400797    -0.38   0.704    -.0941316    .0635957
          8  |  -.0057599   .0400797    -0.14   0.886    -.0846236    .0731037
          9  |   .0259666   .0290961     0.89   0.373     -.031285    .0832181
         10  |  -.0220904   .0600193    -0.37   0.713    -.1401887    .0960078
         11  |    .026597   .0255684     1.04   0.299    -.0237132    .0769071
         12  |  -.0048102   .0186439    -0.26   0.797    -.0414953    .0318748
             |
  year_group |
          5  |  -.1825482    .029325    -6.23   0.000    -.2402501   -.1248462
          6  |   .0056167   .0673895     0.08   0.934    -.1269837    .1382171
          7  |  -.0248492   .0578836    -0.43   0.668    -.1387451    .0890466
          8  |  -.0415543   .0519011    -0.80   0.424    -.1436787      .06057
          9  |  -.0483456   .0522128    -0.93   0.355    -.1510832    .0543919
         10  |  -.0832875   .0518581    -1.61   0.109    -.1853272    .0187522
         11  |  -.0566259   .0572487    -0.99   0.323    -.1692725    .0560207
         12  |  -.0804829   .0538305    -1.50   0.136    -.1864036    .0254378
         13  |  -.0537308   .0565971    -0.95   0.343    -.1650952    .0576337
             |
       _cons |   .3385328   .0600586     5.64   0.000     .2203573    .4567083
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         738           0        738        738

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,212     .287623    .4757814          0   3.132747
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(18, 309)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9605
                                                    Adj R-squared     = 0.9463
                                                    Root MSE          = 0.1126

                        (Std. err. adjusted for 310 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0262514   .0230032    -1.14   0.255    -.0715142    .0190114
             |
 scale_group |
          2  |  -.1669563   .0559572    -2.98   0.003    -.2770617   -.0568509
          3  |          0  (omitted)
          4  |   .0138082   .0149244     0.93   0.356     -.015558    .0431744
          5  |  -.0089948    .019777    -0.45   0.650    -.0479094    .0299198
          6  |   .0002878   .0251209     0.01   0.991    -.0491418    .0497175
          7  |  -.0082084   .0274129    -0.30   0.765     -.062148    .0457312
          8  |  -.0082084   .0274129    -0.30   0.765     -.062148    .0457312
          9  |   .0140164   .0250756     0.56   0.577    -.0353242    .0633569
         10  |   -.003415   .0201508    -0.17   0.866    -.0430652    .0362352
         11  |   .0108743   .0404729     0.27   0.788    -.0687631    .0905117
         12  |  -.1424114    .047479    -3.00   0.003    -.2358345   -.0489883
             |
  year_group |
          5  |   -.261368   .0475465    -5.50   0.000    -.3549238   -.1678121
          6  |  -.8419698   .1416417    -5.94   0.000    -1.120674   -.5632656
          7  |  -.8471746   .1550389    -5.46   0.000     -1.15224   -.5421091
          8  |  -.8495973   .1583789    -5.36   0.000    -1.161235   -.5379597
          9  |  -.8713224   .1584266    -5.50   0.000    -1.183054    -.559591
         10  |  -.8549822   .1544004    -5.54   0.000    -1.158791   -.5511731
         11  |   -.841174   .1558186    -5.40   0.000    -1.147774   -.5345742
         12  |  -.8473755   .1560244    -5.43   0.000     -1.15438   -.5403709
         13  |  -.8476013   .1578554    -5.37   0.000    -1.158209   -.5369937
             |
       _cons |   1.198141   .1547067     7.74   0.000     .8937289    1.502553
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         738           0        738        738

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,212    .2863489    .4792256          0   3.026032
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(18, 309)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8278
                                                    Adj R-squared     = 0.7663
                                                    Root MSE          = 0.2423

                        (Std. err. adjusted for 310 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0793275   .0504644     1.57   0.117    -.0199698    .1786248
             |
 scale_group |
          2  |   .1749262   .0603859     2.90   0.004     .0561067    .2937457
          3  |          0  (omitted)
          4  |   .0358804   .0425082     0.84   0.399    -.0477618    .1195226
          5  |   .0200228   .0633631     0.32   0.752    -.1046548    .1447005
          6  |    .033878   .0650506     0.52   0.603    -.0941201    .1618762
          7  |   .0567838   .0845471     0.67   0.502    -.1095771    .2231447
          8  |   .0528281   .0845471     0.62   0.533    -.1135328     .219189
          9  |   .1178716   .0873949     1.35   0.178    -.0540928    .2898361
         10  |  -.0955955   .0564182    -1.69   0.091    -.2066079    .0154169
         11  |   .0558031   .0910512     0.61   0.540    -.1233556    .2349619
         12  |   .1706095   .0623928     2.73   0.007     .0478411     .293378
             |
  year_group |
          5  |  -.1557825   .0648678    -2.40   0.017    -.2834209    -.028144
          6  |  -.1738937   .1073431    -1.62   0.106    -.3851097    .0373222
          7  |  -.2391736   .1088627    -2.20   0.029    -.4533796   -.0249676
          8  |  -.1517503   .1023727    -1.48   0.139    -.3531861    .0496856
          9  |  -.1704135   .0991855    -1.72   0.087    -.3655779    .0247509
         10  |  -.1728943   .1000044    -1.73   0.085    -.3696701    .0238815
         11  |  -.1472348   .1037054    -1.42   0.157    -.3512929    .0568232
         12  |  -.1507665   .1059124    -1.42   0.156    -.3591672    .0576342
         13  |  -.0761693   .1182721    -0.64   0.520    -.3088899    .1565514
             |
       _cons |   .3802381   .1155964     3.29   0.001     .1527824    .6076938
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         738           0        738        738

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,212    .3158938    .4864989          0   2.935693

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,214
Absorbed variable: factor_pair                    No. of categories =      328
                                                  F(18, 321)        = 6.82e+11
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7735
                                                  Adj R-squared     =   0.6834
                                                  Root MSE          =   0.2152

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0539715   .0539966     1.00   0.318    -.0522604    .1602034
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0033042   .0918129    -0.04   0.971    -.1839352    .1773269
          4  |   .1098238   .0341681     3.21   0.001      .042602    .1770456
          5  |   .0425338   .0450839     0.94   0.346    -.0461635    .1312311
          6  |   .1114303   .0446745     2.49   0.013     .0235386     .199322
          7  |   .1431369   .0611316     2.34   0.020     .0228678    .2634061
          8  |          0  (empty)
          9  |    .078033   .0517562     1.51   0.133    -.0237913    .1798573
         10  |          0  (empty)
         11  |   .1724791   .0499184     3.46   0.001     .0742705    .2706876
         12  |  -.0578113   .0492584    -1.17   0.241    -.1547213    .0390988
             |
  year_group |
          5  |   .0237321   6.77e-09  3.5e+06   0.000     .0237321    .0237321
          6  |  -.3537084   .2214563    -1.60   0.111    -.7893975    .0819807
          7  |   .1392835   .1378906     1.01   0.313        -.132    .4105669
          8  |   .0792151   .1148958     0.69   0.491    -.1468288     .305259
          9  |   .1228528   .1171622     1.05   0.295      -.10765    .3533556
         10  |   .1943535   .1157829     1.68   0.094    -.0334355    .4221426
         11  |   .2347901   .1255286     1.87   0.062    -.0121726    .4817528
         12  |   .2606516    .121092     2.15   0.032     .0224173    .4988858
         13  |   .2204193   .1223334     1.80   0.073    -.0202572    .4610958
             |
       _cons |  -.0728786   .1192322    -0.61   0.541    -.3074539    .1616967
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,214    .2061963    .3863367          0   2.600155
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,214
Absorbed variable: factor_pair                    No. of categories =      328
                                                  F(18, 321)        = 1.96e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8457
                                                  Adj R-squared     =   0.7843
                                                  Root MSE          =   0.1769

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0302375    .041962    -0.72   0.472    -.1127928    .0523179
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0507387   .0396784    -1.28   0.202    -.1288012    .0273238
          4  |   .0714434   .0286618     2.49   0.013     .0150547    .1278321
          5  |   .0226793   .0313005     0.72   0.469    -.0389007    .0842593
          6  |    .046437   .0332276     1.40   0.163    -.0189345    .1118084
          7  |    .050593   .0540056     0.94   0.350    -.0556566    .1568426
          8  |          0  (empty)
          9  |   .0645144   .0307887     2.10   0.037     .0039412    .1250876
         10  |          0  (empty)
         11  |   .0620023   .0391944     1.58   0.115    -.0151079    .1391126
         12  |  -.0227292   .0327511    -0.69   0.488    -.0871631    .0417047
             |
  year_group |
          5  |  -.3410413   5.74e-08 -5.9e+06   0.000    -.3410414   -.3410412
          6  |  -.1965735   .1245992    -1.58   0.116    -.4417076    .0485606
          7  |  -.2958453   .0604783    -4.89   0.000    -.4148291   -.1768615
          8  |  -.2651784   .0543843    -4.88   0.000     -.372173   -.1581837
          9  |  -.2729575    .053113    -5.14   0.000    -.3774511    -.168464
         10  |  -.1859776   .0537008    -3.46   0.001    -.2916277   -.0803276
         11  |  -.1277671   .0625138    -2.04   0.042    -.2507556   -.0047787
         12  |  -.1899091   .0596643    -3.18   0.002    -.3072916   -.0725266
         13  |  -.1402255   .0702372    -2.00   0.047     -.278409   -.0020421
             |
       _cons |    .393837   .0623296     6.32   0.000     .2712108    .5164632
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,214     .214783    .3885247          0   2.836428
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,214
Absorbed variable: factor_pair                    No. of categories =      328
                                                  F(18, 321)        = 5.07e+13
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8121
                                                  Adj R-squared     =   0.7374
                                                  Root MSE          =   0.1811

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0852381   .0443438     1.92   0.055    -.0020031    .1724792
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0479693   .0707893     0.68   0.498    -.0913003     .187239
          4  |   .1459597   .1180264     1.24   0.217    -.0862433    .3781626
          5  |   .0789222   .1221777     0.65   0.519    -.1614479    .3192923
          6  |   .0799313   .1222566     0.65   0.514    -.1605941    .3204567
          7  |   .0894173   .1240596     0.72   0.472    -.1546552    .3334898
          8  |          0  (empty)
          9  |   .1267885   .1250239     1.01   0.311    -.1191813    .3727583
         10  |          0  (empty)
         11  |   .1487769    .121619     1.22   0.222    -.0904942    .3880479
         12  |  -.0276335   .0413565    -0.67   0.505    -.1089974    .0537305
             |
  year_group |
          5  |   .4769152   1.58e-08  3.0e+07   0.000     .4769151    .4769152
          6  |  -.1563456   .1166413    -1.34   0.181    -.3858236    .0731324
          7  |  -.0143193   .0990335    -0.14   0.885     -.209156    .1805174
          8  |    .026166   .0877152     0.30   0.766    -.1464034    .1987353
          9  |   -.069282   .0820545    -0.84   0.399    -.2307145    .0921505
         10  |  -.0552475   .0806413    -0.69   0.494    -.2138997    .1034047
         11  |  -.0693248    .082853    -0.84   0.403    -.2323283    .0936787
         12  |  -.0522878   .0831867    -0.63   0.530    -.2159478    .1113722
         13  |  -.0332878   .0840079    -0.40   0.692    -.1985634    .1319878
             |
       _cons |   .1348171   .1214909     1.11   0.268    -.1042019    .3738361
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,214    .2200822    .3690541          0    3.06048
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,214
Absorbed variable: factor_pair                    No. of categories =      328
                                                  F(18, 321)        = 2.66e+13
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.6382
                                                  Adj R-squared     =   0.4944
                                                  Root MSE          =   0.1971

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0204593   .0345484     0.59   0.554    -.0475105    .0884291
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.101667   .0500289    -2.03   0.043     -.200093    -.003241
          4  |   .1015233   .0452985     2.24   0.026     .0124039    .1906428
          5  |   .1130052    .052347     2.16   0.032     .0100187    .2159917
          6  |   .1656441   .0558474     2.97   0.003     .0557709    .2755173
          7  |   .0113389   .0702429     0.16   0.872    -.1268557    .1495335
          8  |          0  (empty)
          9  |   .0434054    .050284     0.86   0.389    -.0555224    .1423331
         10  |          0  (empty)
         11  |   .1538091   .0532395     2.89   0.004     .0490666    .2585516
         12  |  -.0309195   .0406349    -0.76   0.447    -.1108639    .0490249
             |
  year_group |
          5  |   .2020351   9.23e-09  2.2e+07   0.000      .202035    .2020351
          6  |   .5185949    .132995     3.90   0.000      .256943    .7802467
          7  |   .3022953   .1659009     1.82   0.069     -.024095    .6286857
          8  |   .2024832   .1523422     1.33   0.185     -.097232    .5021984
          9  |   .1948258   .1552314     1.26   0.210    -.1105736    .5002252
         10  |   .2109419   .1555022     1.36   0.176    -.0949902     .516874
         11  |   .2480863   .1544164     1.61   0.109    -.0557097    .5518823
         12  |   .2348306   .1547628     1.52   0.130    -.0696469    .5393081
         13  |    .259559   .1544007     1.68   0.094    -.0442062    .5633241
             |
       _cons |  -.1985161    .156368    -1.27   0.205    -.5061516    .1091193
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,214    .1188677    .2874229          0   2.643122
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(17, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8126
                                                    Adj R-squared     = 0.7381
                                                    Root MSE          = 0.2288

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0046847   .0434078    -0.11   0.914    -.0900844    .0807149
             |
 scale_group |
          2  |          0  (omitted)
          3  |     .04029   .0658578     0.61   0.541    -.0892775    .1698574
          4  |  -.0808135   .0324805    -2.49   0.013     -.144715    -.016912
          5  |   .0269859   .0385049     0.70   0.484    -.0487679    .1027396
          6  |  -.1497292   .0599433    -2.50   0.013    -.2676605   -.0317979
          7  |  -.0909614   .0661763    -1.37   0.170    -.2211554    .0392326
          8  |          0  (empty)
          9  |  -.0526155   .0469249    -1.12   0.263    -.1449347    .0397037
         10  |          0  (empty)
         11  |  -.1318965   .0454493    -2.90   0.004    -.2213127   -.0424804
         12  |   .0289216   .0526532     0.55   0.583    -.0746674    .1325106
             |
  year_group |
          5  |   -.052214          .        .       .            .           .
          6  |   .2757713   .2140969     1.29   0.199     -.145439    .6969816
          7  |   -.094594   .1174553    -0.81   0.421    -.3256733    .1364854
          8  |   .0301927   .1069312     0.28   0.778    -.1801818    .2405673
          9  |   .0602003   .0934169     0.64   0.520    -.1235865     .243987
         10  |   .0450537   .0994704     0.45   0.651    -.1506425    .2407499
         11  |  -.0898339   .1064129    -0.84   0.399    -.2991886    .1195209
         12  |  -.0914027   .1049787    -0.87   0.385    -.2979359    .1151305
         13  |  -.0673135   .1060211    -0.63   0.526    -.2758974    .1412704
             |
       _cons |   .3342528   .1013734     3.30   0.001     .1348126     .533693
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,214    .2694685    .4703038          0   3.342472
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,214
Absorbed variable: factor_pair                    No. of categories =      328
                                                  F(18, 321)        = 2.29e+13
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9657
                                                  Adj R-squared     =   0.9520
                                                  Root MSE          =   0.1028

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0378095   .0241486     1.57   0.118    -.0097001    .0853191
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0174298   .0273098    -0.64   0.524    -.0711587     .036299
          4  |    .039826   .0189368     2.10   0.036     .0025702    .0770819
          5  |   .0226349   .0195046     1.16   0.247    -.0157381    .0610078
          6  |   .0517173   .0462233     1.12   0.264    -.0392216    .1426562
          7  |  -.0003834   .0279757    -0.01   0.989    -.0554223    .0546556
          8  |          0  (empty)
          9  |   .0453902   .0208455     2.18   0.030      .004379    .0864013
         10  |          0  (empty)
         11  |   .0375442   .0240591     1.56   0.120    -.0097892    .0848777
         12  |  -.0110583   .0176543    -0.63   0.532     -.045791    .0236744
             |
  year_group |
          5  |  -.1720971   8.47e-09 -2.0e+07   0.000    -.1720971   -.1720971
          6  |   .0673891   .0634126     1.06   0.289    -.0573676    .1921458
          7  |  -.0820378   .0385801    -2.13   0.034    -.1579396   -.0061361
          8  |  -.0837926   .0340086    -2.46   0.014    -.1507005   -.0168848
          9  |  -.0836723   .0325956    -2.57   0.011    -.1478002   -.0195444
         10  |  -.1033884   .0327175    -3.16   0.002    -.1677562   -.0390205
         11  |  -.0765082    .040228    -1.90   0.058    -.1556521    .0026356
         12  |  -.0774336    .041547    -1.86   0.063    -.1591723    .0043052
         13  |  -.0856942   .0383772    -2.23   0.026    -.1611968   -.0101916
             |
       _cons |   .3493255   .0397973     8.78   0.000     .2710291    .4276219
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,214    .2935721    .4638711          0   3.404148
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,214
Absorbed variable: factor_pair                    No. of categories =      328
                                                  F(18, 321)        = 1.13e+13
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9487
                                                  Adj R-squared     =   0.9283
                                                  Root MSE          =   0.1260

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0212045   .0270833    -0.78   0.434    -.0744877    .0320787
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1392366   .1037182     1.34   0.180    -.0648167      .34329
          4  |   .0002243   .0149807     0.01   0.988    -.0292484    .0296971
          5  |  -.0208475    .015222    -1.37   0.172    -.0507949    .0090999
          6  |  -.0015824   .0267411    -0.06   0.953    -.0541924    .0510276
          7  |  -.0092583   .0282263    -0.33   0.743    -.0647901    .0462736
          8  |          0  (empty)
          9  |   .0131765   .0252744     0.52   0.602    -.0365478    .0629008
         10  |          0  (empty)
         11  |   .0101621    .037201     0.27   0.785    -.0630264    .0833505
         12  |   .0362419   .0358292     1.01   0.313    -.0342478    .1067316
             |
  year_group |
          5  |   -.363238   2.55e-08 -1.4e+07   0.000     -.363238   -.3632379
          6  |  -.9657706   .1366799    -7.07   0.000    -1.234672   -.6968692
          7  |  -1.068147   .1829496    -5.84   0.000    -1.428078   -.7082148
          8  |  -1.059971   .1852044    -5.72   0.000    -1.424339   -.6956032
          9  |  -1.078338   .1840818    -5.86   0.000    -1.440498   -.7161792
         10  |  -1.063935   .1781909    -5.97   0.000    -1.414505   -.7133657
         11  |  -1.070541   .1794486    -5.97   0.000    -1.423585   -.7174971
         12  |  -1.060663   .1797551    -5.90   0.000     -1.41431   -.7070163
         13  |   -1.06281   .1797163    -5.91   0.000    -1.416381   -.7092397
             |
       _cons |   1.362171   .1792664     7.60   0.000     1.009485    1.714856
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,214    .2813738    .4701264          0   3.477693
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(17, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8120
                                                    Adj R-squared     = 0.7373
                                                    Root MSE          = 0.2420

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1002844   .0448786     2.23   0.026     .0119911    .1885777
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0401219   .0725325     0.55   0.581    -.1025772    .1828209
          4  |   .0906187   .0460034     1.97   0.050     .0001124     .181125
          5  |    .133385   .0582832     2.29   0.023     .0187197    .2480504
          6  |   .1738446   .0647458     2.69   0.008     .0464648    .3012244
          7  |   .1155107   .0716803     1.61   0.108    -.0255117    .2565332
          8  |          0  (empty)
          9  |    .154495   .0666635     2.32   0.021     .0233424    .2856477
         10  |          0  (empty)
         11  |   .1658661   .0599916     2.76   0.006     .0478398    .2838924
         12  |   .0254654    .048263     0.53   0.598    -.0694864    .1204172
             |
  year_group |
          5  |  -.1652241          .        .       .            .           .
          6  |  -.0407664   .0886181    -0.46   0.646    -.2151121    .1335792
          7  |  -.2004002   .1087246    -1.84   0.066     -.414303    .0135026
          8  |  -.2607981   .0792011    -3.29   0.001     -.416617   -.1049792
          9  |  -.2885781   .0678941    -4.25   0.000    -.4221517   -.1550046
         10  |  -.2524481   .0714122    -3.54   0.000    -.3929432    -.111953
         11  |  -.1902187   .0779799    -2.44   0.015    -.3436349   -.0368026
         12  |  -.1768815   .0827233    -2.14   0.033    -.3396298   -.0141333
         13  |  -.1643114   .0779877    -2.11   0.036    -.3177429   -.0108799
             |
       _cons |   .3887687   .0855663     4.54   0.000     .2204272    .5571102
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,214    .3027464      .46261          0   2.865703

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(846 missing values generated)
(846 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,144
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 315)        =   7.38
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8000
                                                    Adj R-squared     = 0.7202
                                                    Root MSE          = 0.2228

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0269268   .0551975    -0.49   0.626    -.1355292    .0816755
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.1507178   .1070376    -1.41   0.160    -.3613169    .0598812
          4  |  -.0560878   .0889195    -0.63   0.529    -.2310391    .1188634
          5  |  -.0850957   .0917131    -0.93   0.354    -.2655434     .095352
          6  |   -.017758   .1111969    -0.16   0.873    -.2365405    .2010245
          7  |   .1039865   .0820124     1.27   0.206    -.0573749     .265348
          8  |          0  (empty)
          9  |  -.0775551   .1017957    -0.76   0.447    -.2778406    .1227303
         10  |          0  (omitted)
         11  |   .1157121   .0851941     1.36   0.175    -.0519093    .2833335
         12  |  -.0668394   .0576765    -1.16   0.247    -.1803193    .0466405
             |
  year_group |
          5  |   .0489057   .0066356     7.37   0.000     .0358499    .0619615
          6  |   .0518378   .2128226     0.24   0.808    -.3668956    .4705713
          7  |   .3104227   .1542769     2.01   0.045     .0068792    .6139661
          8  |   .2213788    .130613     1.69   0.091    -.0356054    .4783629
          9  |   .2176341   .1321179     1.65   0.100     -.042311    .4775791
         10  |   .3226311    .130613     2.47   0.014      .065647    .5796153
         11  |   .3957179    .140865     2.81   0.005     .1185628    .6728731
         12  |   .4393562   .1390923     3.16   0.002     .1656889    .7130235
         13  |   .4220518   .1433276     2.94   0.003     .1400514    .7040522
             |
       _cons |  -.0460592   .1478643    -0.31   0.756    -.3369857    .2448672
------------------------------------------------------------------------------
(846 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,144         737           0        737        737

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,144    .2330319    .4248037          0   2.579321
(846 missing values generated)
(846 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,144
Absorbed variable: factor_pair                    No. of categories =      309
                                                  F(18, 315)        = 6.81e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8303
                                                  Adj R-squared     =   0.7625
                                                  Root MSE          =   0.2183

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.1021734   .0523071    -1.95   0.052     -.205089    .0007421
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1285445   .0580924     2.21   0.028     .0142463    .2428427
          3  |          0  (omitted)
          4  |   .0310895   .0355401     0.87   0.382    -.0388364    .1010155
          5  |  -.0158818   .0390071    -0.41   0.684    -.0926292    .0608656
          6  |  -.0470156   .0740474    -0.63   0.526    -.1927057    .0986745
          7  |  -.0841051   .0474635    -1.77   0.077    -.1774906    .0092804
          8  |          0  (empty)
          9  |   .0209771   .0386132     0.54   0.587    -.0549954    .0969496
         10  |          0  (omitted)
         11  |   .0054434   .0394081     0.14   0.890    -.0720929    .0829798
         12  |    .079818   .0475658     1.68   0.094    -.0137689    .1734048
             |
  year_group |
          5  |  -.3491427   3.15e-08 -1.1e+07   0.000    -.3491428   -.3491426
          6  |   -.408628   .0760323    -5.37   0.000    -.5582233   -.2590328
          7  |  -.3645878    .047405    -7.69   0.000    -.4578583   -.2713173
          8  |  -.3035809   .0402367    -7.54   0.000    -.3827476   -.2244142
          9  |  -.3023986   .0439952    -6.87   0.000    -.3889602    -.215837
         10  |  -.2201331   .0402367    -5.47   0.000    -.2992998   -.1409664
         11  |  -.1853527   .0576956    -3.21   0.001    -.2988703   -.0718352
         12  |  -.2032061   .0490971    -4.14   0.000    -.2998059   -.1066063
         13  |  -.1796624   .0759583    -2.37   0.019    -.3291121   -.0302126
             |
       _cons |   .5261671   .0585109     8.99   0.000     .4110455    .6412887
------------------------------------------------------------------------------
(846 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,144         737           0        737        737

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,144    .2578885    .4411705          0   3.383563
(846 missing values generated)
(846 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,144
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 315)        =  56.68
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7849
                                                    Adj R-squared     = 0.6990
                                                    Root MSE          = 0.2071

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0074342   .0539109     0.14   0.890    -.0986367    .1135051
             |
 scale_group |
          1  |          0  (empty)
          2  |   -.029535   .1264688    -0.23   0.815    -.2783654    .2192954
          3  |          0  (omitted)
          4  |  -.0571135   .0364897    -1.57   0.119    -.1289078    .0146808
          5  |  -.0866647   .0413479    -2.10   0.037    -.1680177   -.0053116
          6  |  -.1422466   .0543027    -2.62   0.009    -.2490883   -.0354048
          7  |  -.1502805   .0441127    -3.41   0.001    -.2370732   -.0634877
          8  |          0  (empty)
          9  |  -.0803124   .0473716    -1.70   0.091    -.1735172    .0128924
         10  |          0  (omitted)
         11  |  -.0488867   .0388179    -1.26   0.209    -.1252619    .0274885
         12  |  -.0390293   .0689337    -0.57   0.572     -.174658    .0965994
             |
  year_group |
          5  |   .3136655   .1316755     2.38   0.018     .0545908    .5727402
          6  |  -.2155947   .1653491    -1.30   0.193     -.540923    .1097336
          7  |  -.3016766   .1384727    -2.18   0.030    -.5741249   -.0292283
          8  |  -.2178404   .1344994    -1.62   0.106    -.4824712    .0467905
          9  |  -.2949819   .1373571    -2.15   0.033    -.5652352   -.0247285
         10  |  -.2600947   .1344994    -1.93   0.054    -.5247255    .0045362
         11  |  -.3241137   .1374995    -2.36   0.019    -.5946471   -.0535802
         12  |  -.2869376   .1386611    -2.07   0.039    -.5597567   -.0141185
         13  |  -.2933197   .1376924    -2.13   0.034    -.5642328   -.0224066
             |
       _cons |   .5775203   .1393487     4.14   0.000     .3033484    .8516922
------------------------------------------------------------------------------
(846 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,144         737           0        737        737

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,144    .2623821    .4139294          0   2.803245
(846 missing values generated)
(846 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,144
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 315)        =   3.88
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5690
                                                    Adj R-squared     = 0.3970
                                                    Root MSE          = 0.2378

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0102292   .0487821    -0.21   0.834    -.1062092    .0857508
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .0340786    .162532     0.21   0.834     -.285707    .3538641
          4  |      .1258   .0400443     3.14   0.002     .0470118    .2045881
          5  |   .1492904   .0486675     3.07   0.002     .0535358    .2450449
          6  |   .0978927   .0515356     1.90   0.058    -.0035049    .1992903
          7  |   .0319469   .0477109     0.67   0.504    -.0619255    .1258193
          8  |          0  (empty)
          9  |   .0451105    .047534     0.95   0.343    -.0484138    .1386348
         10  |          0  (omitted)
         11  |    .123524   .0368287     3.35   0.001     .0510626    .1959854
         12  |   -.041251   .0598848    -0.69   0.491    -.1590757    .0765737
             |
  year_group |
          5  |   .2204785   .1480607     1.49   0.137    -.0708345    .5117915
          6  |   .0093428   .1902037     0.05   0.961    -.3648875    .3835732
          7  |   -.208024   .1886852    -1.10   0.271    -.5792666    .1632185
          8  |  -.2317307   .1751423    -1.32   0.187    -.5763273    .1128659
          9  |  -.2494811   .1769468    -1.41   0.160    -.5976282     .098666
         10  |  -.2448528   .1751423    -1.40   0.163    -.5894493    .0997438
         11  |  -.2350845   .1830665    -1.28   0.200    -.5952722    .1251033
         12  |  -.2468812   .1792264    -1.38   0.169    -.5995134    .1057511
         13  |  -.2419617   .1808231    -1.34   0.182    -.5977354    .1138121
             |
       _cons |   .2978186   .1817789     1.64   0.102    -.0598357    .6554728
------------------------------------------------------------------------------
(846 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,144         737           0        737        737

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,144    .1467314    .3114901          0   2.499329
(846 missing values generated)
(846 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,144
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 315)        =   6.62
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7882
                                                    Adj R-squared     = 0.7036
                                                    Root MSE          = 0.2780

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0144065   .0558804     0.26   0.797    -.0955394    .1243524
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .1287867   .0970908     1.33   0.186    -.0622418    .3198151
          4  |   .1192098   .0637278     1.87   0.062    -.0061762    .2445959
          5  |   .1817629   .0732219     2.48   0.014      .037697    .3258287
          6  |   .0083365     .07534     0.11   0.912    -.1398967    .1565697
          7  |   .1348026   .0606634     2.22   0.027     .0154459    .2541592
          8  |          0  (empty)
          9  |   .0628078   .0871838     0.72   0.472    -.1087284     .234344
         10  |          0  (omitted)
         11  |   .0423749   .0611388     0.69   0.489    -.0779171    .1626669
         12  |   .0738113   .0850242     0.87   0.386    -.0934757    .2410984
             |
  year_group |
          5  |  -.0262527   .1466998    -0.18   0.858    -.3148881    .2623827
          6  |   .4804422   .2342638     2.05   0.041     .0195227    .9413617
          7  |   .3242777   .2337947     1.39   0.166    -.1357188    .7842742
          8  |   .4484861   .2245056     2.00   0.047     .0067661    .8902062
          9  |   .4387381   .2283865     1.92   0.056    -.0106177     .888094
         10  |   .3677624   .2245056     1.64   0.102    -.0739576    .8094825
         11  |   .2232132   .2271546     0.98   0.327    -.2237188    .6701453
         12  |   .2506221   .2284981     1.10   0.274    -.1989533    .7001976
         13  |   .2229713   .2295939     0.97   0.332      -.22876    .6747027
             |
       _cons |  -.1252227   .2277639    -0.55   0.583    -.5733536    .3229083
------------------------------------------------------------------------------
(846 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,144         737           0        737        737

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,144    .3052156    .5338573          0    2.69439
(846 missing values generated)
(846 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,144
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 315)        =   4.91
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9757
                                                    Adj R-squared     = 0.9660
                                                    Root MSE          = 0.0950

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0116677   .0234605     0.50   0.619    -.0344913    .0578268
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.0176599    .025202    -0.70   0.484    -.0672453    .0319256
          4  |   .0690694   .0458364     1.51   0.133    -.0211148    .1592536
          5  |   .0631823   .0445278     1.42   0.157    -.0244272    .1507918
          6  |   .1350713   .0831019     1.63   0.105    -.0284337    .2985763
          7  |   .0413521   .0420055     0.98   0.326    -.0412948     .123999
          8  |          0  (empty)
          9  |   .0925899   .0517102     1.79   0.074    -.0091511    .1943309
         10  |          0  (omitted)
         11  |   .0863154   .0583344     1.48   0.140     -.028459    .2010897
         12  |  -.0063361   .0163773    -0.39   0.699    -.0385589    .0258867
             |
  year_group |
          5  |  -.1914166   .0312165    -6.13   0.000    -.2528359   -.1299974
          6  |   .0629242   .1375622     0.46   0.648    -.2077326    .3335811
          7  |  -.0262773   .0482192    -0.54   0.586    -.1211498    .0685953
          8  |  -.0203923   .0444559    -0.46   0.647    -.1078602    .0670757
          9  |  -.0172012   .0454865    -0.38   0.706     -.106697    .0722946
         10  |  -.0465132   .0444559    -1.05   0.296    -.1339812    .0409548
         11  |  -.0195491   .0493363    -0.40   0.692    -.1166194    .0775213
         12  |  -.0201088    .050144    -0.40   0.689    -.1187684    .0785508
         13  |  -.0251965   .0512152    -0.49   0.623    -.1259636    .0755705
             |
       _cons |   .3020953    .060799     4.97   0.000     .1824718    .4217188
------------------------------------------------------------------------------
(846 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,144         737           0        737        737

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,144    .3238701    .5115298          0   2.987223
(846 missing values generated)
(846 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,144
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 315)        =   4.76
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9607
                                                    Adj R-squared     = 0.9450
                                                    Root MSE          = 0.1190

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0531994    .032923    -1.62   0.107    -.1179762    .0115774
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .1603642   .0833517     1.92   0.055    -.0036323    .3243607
          4  |   .0151744   .0210337     0.72   0.471    -.0262098    .0565587
          5  |  -.0059009   .0272644    -0.22   0.829    -.0595442    .0477425
          6  |    .017138   .0265092     0.65   0.518    -.0350195    .0692955
          7  |  -.0044879   .0278234    -0.16   0.872     -.059231    .0502553
          8  |          0  (empty)
          9  |   .0273624   .0320469     0.85   0.394    -.0356906    .0904154
         10  |          0  (omitted)
         11  |   .0176022    .030579     0.58   0.565    -.0425626     .077767
         12  |   .1016444    .053905     1.89   0.060    -.0044151    .2077038
             |
  year_group |
          5  |  -.2498758   .0337793    -7.40   0.000    -.3163374   -.1834143
          6  |  -.5976113   .1065917    -5.61   0.000     -.807333   -.3878895
          7  |  -.5848415   .1063665    -5.50   0.000    -.7941201   -.3755628
          8  |  -.6003269   .1041843    -5.76   0.000     -.805312   -.3953417
          9  |  -.5893228    .105465    -5.59   0.000    -.7968276   -.3818179
         10  |  -.6105251   .1041843    -5.86   0.000    -.8155102     -.40554
         11  |  -.5786104   .1066011    -5.43   0.000    -.7883505   -.3688702
         12  |  -.5891861   .1067505    -5.52   0.000    -.7992203   -.3791519
         13  |  -.6002624   .1084644    -5.53   0.000    -.8136686   -.3868561
             |
       _cons |    .903839   .1050322     8.61   0.000     .6971856    1.110492
------------------------------------------------------------------------------
(846 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,144         737           0        737        737

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,144    .3058874    .5042779          0   2.808272
(846 missing values generated)
(846 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,144
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 315)        =   3.08
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8311
                                                    Adj R-squared     = 0.7638
                                                    Root MSE          = 0.2451

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0020448   .0568121    -0.04   0.971    -.1138239    .1097343
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .0556614   .1078387     0.52   0.606    -.1565138    .2678367
          4  |   .0652826   .0771604     0.85   0.398    -.0865323    .2170975
          5  |   .1010687   .0777746     1.30   0.195    -.0519545     .254092
          6  |   .1348964   .0817009     1.65   0.100     -.025852    .2956449
          7  |   .0940233   .0690704     1.36   0.174    -.0418743    .2299209
          8  |          0  (empty)
          9  |   .0592748   .0805203     0.74   0.462    -.0991508    .2177004
         10  |          0  (omitted)
         11  |   .1205462   .0688668     1.75   0.081    -.0149509    .2560433
         12  |   .0884277   .0641988     1.38   0.169    -.0378848    .2147403
             |
  year_group |
          5  |  -.1407386   .0923236    -1.52   0.128    -.3223876    .0409103
          6  |   .1078112   .1495621     0.72   0.472    -.1864558    .4020782
          7  |   .0868244   .1454743     0.60   0.551    -.1993997    .3730484
          8  |   .1465232    .123218     1.19   0.235    -.0959111    .3889575
          9  |    .057257   .1260463     0.45   0.650    -.1907421     .305256
         10  |   .0872688    .123218     0.71   0.479    -.1551656    .3297031
         11  |   .0429074   .1310492     0.33   0.744    -.2149349    .3007498
         12  |   .0265071   .1323861     0.20   0.841    -.2339657    .2869798
         13  |   .1083557   .1299577     0.83   0.405    -.1473392    .3640506
             |
       _cons |   .1901385   .1389403     1.37   0.172    -.0832299    .4635068
------------------------------------------------------------------------------
(846 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,144         737           0        737        737

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,144    .3356542    .5095128          0   2.935396

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    285
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7242
                                                    Adj R-squared     = 0.6283
                                                    Root MSE          = 0.2591

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0309048   .0605501    -0.51   0.610      -.15004    .0882304
             |
 scale_group |
          2  |  -.0375749   .0665631    -0.56   0.573    -.1685409    .0933912
          3  |  -.1190688   .1698834    -0.70   0.484    -.4533226    .2151849
          4  |   .1095513   .0654504     1.67   0.095    -.0192255     .238328
          5  |    .056219    .101799     0.55   0.581    -.1440755    .2565135
          6  |   .0672586   .0835748     0.80   0.422    -.0971788    .2316959
          7  |          0  (empty)
          8  |    .162921   .1045431     1.56   0.120    -.0427726    .3686146
          9  |    .082234   .0813573     1.01   0.313    -.0778403    .2423083
         10  |   .1261958   .0830188     1.52   0.129    -.0371478    .2895393
         11  |   .1758503   .0783179     2.25   0.025      .021756    .3299446
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1075443   .0809647    -1.33   0.185    -.2668463    .0517576
          7  |  -.1260344   .0963095    -1.31   0.192     -.315528    .0634592
          8  |  -.1320238   .0766838    -1.72   0.086    -.2829028    .0188551
          9  |  -.0770549   .0415291    -1.86   0.064    -.1587654    .0046556
         10  |   -.015941   .0621195    -0.26   0.798    -.1381641    .1062822
         11  |  -.0010421   .0830641    -0.01   0.990    -.1644747    .1623906
         12  |   .0104253   .0714458     0.15   0.884    -.1301477    .1509982
         13  |   .0156926   .0755821     0.21   0.836    -.1330188     .164404
             |
       _cons |   .2131083   .0917867     2.32   0.021     .0325136    .3937029
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,172    .2423258    .4274446          0   3.408473
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    285
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8669
                                                    Adj R-squared     = 0.8206
                                                    Root MSE          = 0.1881

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0367056   .0514016    -0.71   0.476    -.1378406    .0644294
             |
 scale_group |
          2  |  -.0266334   .0471154    -0.57   0.572    -.1193352    .0660684
          3  |  -.0761215   .0501021    -1.52   0.130    -.1746998    .0224568
          4  |   .0823756   .0451834     1.82   0.069    -.0065248     .171276
          5  |   .0533204   .0671517     0.79   0.428    -.0788037    .1854445
          6  |   .0446007   .0600784     0.74   0.458    -.0736064    .1628077
          7  |          0  (empty)
          8  |   .0632349   .0754774     0.84   0.403    -.0852704    .2117402
          9  |   .0624903   .0489867     1.28   0.203    -.0338932    .1588739
         10  |   .0671059   .0494476     1.36   0.176    -.0301847    .1643965
         11  |   .0695817   .0610116     1.14   0.255    -.0504616     .189625
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2660805   .1712793    -1.55   0.121    -.6030806    .0709196
          7  |  -.2908145   .1456417    -2.00   0.047    -.5773715   -.0042575
          8  |  -.2265607   .1447013    -1.57   0.118    -.5112675    .0581461
          9  |  -.2327739   .1418245    -1.64   0.102    -.5118204    .0462726
         10  |  -.1410581   .1435549    -0.98   0.327    -.4235092    .1413929
         11  |  -.1183508   .1503838    -0.79   0.432     -.414238    .1775365
         12  |    -.14504   .1471158    -0.99   0.325    -.4344973    .1444173
         13  |  -.0813554   .1582437    -0.51   0.608    -.3927074    .2299966
             |
       _cons |   .4045564   .1551673     2.61   0.010     .0992573    .7098555
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,172    .2719989     .446854          0   2.897312
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    285
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7679
                                                    Adj R-squared     = 0.6873
                                                    Root MSE          = 0.2025

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0397474   .0509679     0.78   0.436    -.0605343    .1400292
             |
 scale_group |
          2  |   .0271543   .0570241     0.48   0.634    -.0850434     .139352
          3  |  -.0370774   .0746163    -0.50   0.620    -.1838884    .1097337
          4  |   .0007103    .030123     0.02   0.981    -.0585581    .0599788
          5  |   .0059526   .0540627     0.11   0.912    -.1004184    .1123237
          6  |  -.0315428   .0500481    -0.63   0.529    -.1300148    .0669292
          7  |          0  (empty)
          8  |  -.0187304   .0593696    -0.32   0.753    -.1355429    .0980822
          9  |  -.0382093   .0658955    -0.58   0.562    -.1678619    .0914433
         10  |   .0527088   .0401859     1.31   0.191    -.0263589    .1317765
         11  |   .0199179   .0422807     0.47   0.638    -.0632715    .1031072
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1043885   .2037972    -0.51   0.609    -.5053692    .2965922
          7  |  -.0487241    .193248    -0.25   0.801    -.4289488    .3315006
          8  |  -.0836722   .1847798    -0.45   0.651    -.4472353    .2798908
          9  |  -.1584481   .1747194    -0.91   0.365    -.5022168    .1853206
         10  |  -.1541495   .1781816    -0.87   0.388    -.5047304    .1964313
         11  |  -.1534392   .1791351    -0.86   0.392    -.5058959    .1990176
         12  |  -.1301882   .1800839    -0.72   0.470    -.4845118    .2241355
         13  |  -.1359806   .1800469    -0.76   0.451    -.4902314    .2182702
             |
       _cons |   .3371187   .1832597     1.84   0.067    -.0234535     .697691
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,172    .2268589    .3706847          0   2.995474
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    285
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5887
                                                    Adj R-squared     = 0.4458
                                                    Root MSE          = 0.2348

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0018256   .0449438     0.04   0.968    -.0866034    .0902547
             |
 scale_group |
          2  |  -.0010362   .0569164    -0.02   0.985     -.113022    .1109496
          3  |   .1742648   .2428622     0.72   0.474    -.3035781    .6521077
          4  |   .0605674   .0277933     2.18   0.030     .0058829     .115252
          5  |   .0664392   .0536144     1.24   0.216    -.0390497    .1719282
          6  |   .0862922   .0532808     1.62   0.106    -.0185403    .1911246
          7  |          0  (empty)
          8  |  -.1153537   .0675072    -1.71   0.088    -.2481773    .0174699
          9  |  -.0531375   .0608335    -0.87   0.383    -.1728303    .0665553
         10  |   .0001778   .0402035     0.00   0.996    -.0789246    .0792801
         11  |   .1110495   .0492748     2.25   0.025      .014099    .2079999
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .4846055    .066308     7.31   0.000     .3541412    .6150697
          7  |   .4070651   .1352694     3.01   0.003      .140916    .6732141
          8  |   .2888874     .06683     4.32   0.000     .1573962    .4203787
          9  |   .2721578   .0484722     5.61   0.000     .1767865    .3675291
         10  |   .2783539   .0548194     5.08   0.000     .1704942    .3862136
         11  |   .3070198   .0555983     5.52   0.000     .1976274    .4164122
         12  |   .2906788   .0578416     5.03   0.000     .1768727    .4044849
         13  |   .2762495    .057904     4.77   0.000     .1623205    .3901784
             |
       _cons |  -.2021057   .0665006    -3.04   0.003    -.3329488   -.0712627
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,172    .1353569    .3178269          0   3.337839
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    285
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8132
                                                    Adj R-squared     = 0.7483
                                                    Root MSE          = 0.2442

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0686146   .0479666     1.43   0.154     -.025762    .1629912
             |
 scale_group |
          2  |  -.1195954   .0521701    -2.29   0.023    -.2222426   -.0169482
          3  |  -.0055823   .0915832    -0.06   0.951    -.1857767     .174612
          4  |   -.060524   .0429488    -1.41   0.160    -.1450277    .0239797
          5  |   -.056787    .061262    -0.93   0.355    -.1773228    .0637489
          6  |  -.2084463   .0745376    -2.80   0.005    -.3551025   -.0617901
          7  |          0  (empty)
          8  |  -.1333349   .0834851    -1.60   0.111    -.2975958     .030926
          9  |  -.0087993   .0688152    -0.13   0.898    -.1441965    .1265979
         10  |  -.1164805   .0536216    -2.17   0.031    -.2219836   -.0109774
         11  |  -.0875948   .0535975    -1.63   0.103    -.1930505    .0178608
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .3103906   .3610322     0.86   0.391    -.3999576    1.020739
          7  |  -.2488524    .296752    -0.84   0.402     -.832726    .3350212
          8  |  -.1708419   .2838113    -0.60   0.548    -.7292541    .3875703
          9  |  -.2435132   .2745953    -0.89   0.376    -.7837926    .2967661
         10  |  -.2474843   .2781817    -0.89   0.374    -.7948199    .2998514
         11  |  -.3946188   .2806203    -1.41   0.161    -.9467526     .157515
         12  |  -.3965206   .2799631    -1.42   0.158    -.9473614    .1543202
         13  |  -.3398265    .279647    -1.22   0.225    -.8900454    .2103924
             |
       _cons |    .605532   .2765288     2.19   0.029     .0614484    1.149616
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,172    .2749648    .4845185          0   3.990684
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    285
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9729
                                                    Adj R-squared     = 0.9635
                                                    Root MSE          = 0.0961

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0127734   .0218583     0.58   0.559    -.0302338    .0557807
             |
 scale_group |
          2  |   .0188039   .0142583     1.32   0.188    -.0092501    .0468579
          3  |   .0218057   .0193171     1.13   0.260    -.0162017    .0598131
          4  |   .0381607   .0230072     1.66   0.098    -.0071071    .0834285
          5  |   .0226424   .0301726     0.75   0.454    -.0367237    .0820084
          6  |   .0776139   .0521058     1.49   0.137    -.0249066    .1801345
          7  |          0  (empty)
          8  |   .0115186   .0331605     0.35   0.729    -.0537263    .0767636
          9  |   .0321144   .0265679     1.21   0.228    -.0201593     .084388
         10  |  -.0316386   .0403005    -0.79   0.433    -.1109318    .0476546
         11  |   .0420008   .0288369     1.46   0.146    -.0147373    .0987388
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0733233   .0917993    -0.80   0.425    -.2539427    .1072961
          7  |  -.0750294   .0787593    -0.95   0.342     -.229992    .0799333
          8  |   -.072164   .0774426    -0.93   0.352     -.224536    .0802079
          9  |  -.0563138   .0756791    -0.74   0.457     -.205216    .0925885
         10  |  -.0895912   .0770823    -1.16   0.246    -.2412543     .062072
         11  |  -.0599522   .0812711    -0.74   0.461    -.2198569    .0999525
         12  |  -.0751499   .0791103    -0.95   0.343    -.2308032    .0805035
         13  |  -.0856632   .0796609    -1.08   0.283    -.2423997    .0710733
             |
       _cons |   .3721855    .081472     4.57   0.000     .2118855    .5324855
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,172    .3257884     .505328          0    3.47141
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    285
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9503
                                                    Adj R-squared     = 0.9330
                                                    Root MSE          = 0.1250

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0523424   .0298361    -1.75   0.080    -.1110464    .0063615
             |
 scale_group |
          2  |  -.0266123   .0415828    -0.64   0.523    -.1084285     .055204
          3  |   -.025312   .1273415    -0.20   0.843    -.2758625    .2252385
          4  |   .0154981   .0161084     0.96   0.337     -.016196    .0471922
          5  |   .0187202   .0193226     0.97   0.333     -.019298    .0567383
          6  |   .0063079   .0280146     0.23   0.822    -.0488121    .0614279
          7  |          0  (empty)
          8  |   .0030992    .029947     0.10   0.918     -.055823    .0620214
          9  |   .0124828   .0233499     0.53   0.593    -.0334592    .0584249
         10  |  -.0053448   .0188784    -0.28   0.777    -.0424891    .0317994
         11  |   .0003318   .0298755     0.01   0.991    -.0584498    .0591133
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.7267976    .131304    -5.54   0.000    -.9851444   -.4684508
          7  |  -.8778353   .1042216    -8.42   0.000    -1.082896   -.6727742
          8  |  -.8807095   .1029852    -8.55   0.000    -1.083338   -.6780812
          9  |  -.8811249   .1003193    -8.78   0.000    -1.078508    -.683742
         10  |  -.8737918    .101791    -8.58   0.000    -1.074071   -.6735131
         11  |  -.8582937   .1023027    -8.39   0.000    -1.059579   -.6570083
         12  |  -.8501253    .102983    -8.26   0.000    -1.052749   -.6475013
         13  |  -.8522528   .1044583    -8.16   0.000    -1.057779   -.6467261
             |
       _cons |   1.188016   .1019412    11.65   0.000     .9874418     1.38859
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,172    .3089116    .4896082          0   3.654793
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    285
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7720
                                                    Adj R-squared     = 0.6928
                                                    Root MSE          = 0.2813

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0055159   .0553628    -0.10   0.921    -.1144448    .1034131
             |
 scale_group |
          2  |   -.157482   .0585197    -2.69   0.008    -.2726224   -.0423417
          3  |   .0040053   .1488648     0.03   0.979    -.2888933    .2969039
          4  |   -.047965   .0434447    -1.10   0.270    -.1334445    .0375145
          5  |   -.090465   .0618259    -1.46   0.144    -.2121105    .0311804
          6  |  -.0033977   .0677831    -0.05   0.960    -.1367641    .1299688
          7  |          0  (empty)
          8  |  -.1733463   .0806684    -2.15   0.032    -.3320653   -.0146273
          9  |  -.0268824   .0768818    -0.35   0.727     -.178151    .1243863
         10  |  -.1298159   .0704972    -1.84   0.067    -.2685225    .0088907
         11  |   .0008024   .0603379     0.01   0.989    -.1179153      .11952
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .0033928    .113718     0.03   0.976    -.2203528    .2271384
          7  |   .0150382   .1299239     0.12   0.908    -.2405932    .2706696
          8  |  -.1000536   .1057126    -0.95   0.345    -.3080481    .1079409
          9  |  -.0948731   .0873991    -1.09   0.279     -.266835    .0770888
         10  |  -.0483554   .0982191    -0.49   0.623    -.2416061    .1448954
         11  |  -.0883706   .1001639    -0.88   0.378    -.2854479    .1087067
         12  |  -.0468809   .1013938    -0.46   0.644     -.246378    .1526162
         13  |  -.0643389   .1051902    -0.61   0.541    -.2713057    .1426278
             |
       _cons |   .4625954   .1070908     4.32   0.000     .2518891    .6733017
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         744           0        744        744

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,172    .3379076    .5043029          0   2.690788

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(832 missing values generated)
(832 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,158
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7558
                                                    Adj R-squared     = 0.6600
                                                    Root MSE          = 0.2229

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0131854   .0557728     0.24   0.813    -.0965462    .1229171
             |
 scale_group |
          2  |   .0339678   .0877183     0.39   0.699    -.1386158    .2065514
          3  |          0  (omitted)
          4  |   .0355488   .0621768     0.57   0.568    -.0867825    .1578801
          5  |  -.0351972   .0278864    -1.26   0.208     -.090063    .0196686
          6  |   .0451443    .081745     0.55   0.581     -.115687    .2059756
          7  |   .0918171   .0736042     1.25   0.213    -.0529975    .2366317
          8  |   .0973429   .0736042     1.32   0.187    -.0474716    .2421575
          9  |    .007805   .0705805     0.11   0.912    -.1310604    .1466703
         10  |   .1706832   .1143388     1.49   0.136    -.0542756     .395642
         11  |   .1393746   .0660913     2.11   0.036     .0093415    .2694076
         12  |   .1254532   .0773234     1.62   0.106    -.0266787    .2775852
             |
  year_group |
          5  |   .0613103          .        .       .            .           .
          6  |  -.0761671   .0760967    -1.00   0.318    -.2258856    .0735513
          7  |   -.016789   .0916613    -0.18   0.855    -.1971304    .1635524
          8  |  -.0403386   .0701655    -0.57   0.566    -.1783875    .0977103
          9  |  -.0099962   .0597547    -0.17   0.867    -.1275622    .1075698
         10  |   .0592792   .0737101     0.80   0.422    -.0857437     .204302
         11  |   .0763676   .0874707     0.87   0.383    -.0957289    .2484642
         12  |   .0592941   .0808869     0.73   0.464     -.099849    .2184371
         13  |    .015366   .0839378     0.18   0.855    -.1497796    .1805115
             |
       _cons |   .1417176   .0803222     1.76   0.079    -.0163144    .2997496
------------------------------------------------------------------------------
(832 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,158         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,158    .2323911    .3922253          0    2.78328
(832 missing values generated)
(832 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,158
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(18, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8145
                                                    Adj R-squared     = 0.7418
                                                    Root MSE          = 0.2168

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0042725   .0543196    -0.08   0.937    -.1111451       .1026
             |
 scale_group |
          2  |   .1266562   .0940373     1.35   0.179    -.0583599    .3116722
          3  |          0  (omitted)
          4  |   .0252564   .0317264     0.80   0.427    -.0371645    .0876773
          5  |  -.0021363   .0271598    -0.08   0.937    -.0555726       .0513
          6  |  -.0598168   .0496776    -1.20   0.229    -.1575564    .0379227
          7  |   .0071981   .0490694     0.15   0.883    -.0893448     .103741
          8  |   .0071981   .0490694     0.15   0.883    -.0893448     .103741
          9  |   .0049127    .030449     0.16   0.872     -.054995    .0648204
         10  |   .0136279   .0545227     0.25   0.803    -.0936442    .1208999
         11  |  -.0040237   .0443354    -0.09   0.928    -.0912525    .0832051
         12  |   .1770223   .0870244     2.03   0.043      .005804    .3482406
             |
  year_group |
          5  |  -.4651621   1.16e-07 -4.0e+06   0.000    -.4651624   -.4651619
          6  |  -.3193104   .1794473    -1.78   0.076    -.6723686    .0337477
          7  |  -.3948163   .1134539    -3.48   0.001    -.6180341   -.1715984
          8  |  -.3691521   .1055413    -3.50   0.001     -.576802   -.1615023
          9  |  -.3535119   .1072882    -3.29   0.001    -.5645988    -.142425
         10  |  -.2599202   .1092545    -2.38   0.018    -.4748757   -.0449647
         11  |  -.2322151   .1156989    -2.01   0.046    -.4598499   -.0045804
         12  |  -.2569138    .113238    -2.27   0.024    -.4797068   -.0341207
         13  |  -.1996643   .1246157    -1.60   0.110    -.4448426     .045514
             |
       _cons |   .4860594   .1158763     4.19   0.000     .2580757    .7140432
------------------------------------------------------------------------------
(832 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,158         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,158    .2528552    .4329801          0    3.20287
(832 missing values generated)
(832 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,158
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7442
                                                    Adj R-squared     = 0.6439
                                                    Root MSE          = 0.2289

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.008018    .040764    -0.20   0.844    -.0882202    .0721841
             |
 scale_group |
          2  |  -.1380138   .1467697    -0.94   0.348    -.4267796     .150752
          3  |          0  (omitted)
          4  |   .4259986   .0368199    11.57   0.000     .3535564    .4984408
          5  |   .3819886    .020382    18.74   0.000     .3418875    .4220896
          6  |   .4012585   .0780939     5.14   0.000     .2476106    .5549063
          7  |   .3456768   .0410582     8.42   0.000     .2648958    .4264577
          8  |   .3456768   .0410582     8.42   0.000     .2648958    .4264577
          9  |   .3843631   .0610949     6.29   0.000     .2641603    .5045659
         10  |   .4766798   .0571706     8.34   0.000     .3641981    .5891616
         11  |   .4199755   .0423697     9.91   0.000     .3366142    .5033368
         12  |  -.0961483   .1179855    -0.81   0.416    -.3282819    .1359853
             |
  year_group |
          5  |   .0348762          .        .       .            .           .
          6  |  -.3755257   .1399355    -2.68   0.008    -.6508454    -.100206
          7  |  -.3530819    .107444    -3.29   0.001    -.5644754   -.1416884
          8  |  -.3887172   .0927975    -4.19   0.000     -.571294   -.2061403
          9  |  -.4056697   .0926593    -4.38   0.000    -.5879747   -.2233647
         10  |  -.3886783   .0969852    -4.01   0.000    -.5794943   -.1978623
         11  |  -.4201931   .0979312    -4.29   0.000    -.6128704   -.2275157
         12  |  -.3780169   .0991454    -3.81   0.000     -.573083   -.1829509
         13  |  -.4107427   .0976084    -4.21   0.000    -.6027848   -.2187006
             |
       _cons |   .3584783   .1029754     3.48   0.001     .1558767      .56108
------------------------------------------------------------------------------
(832 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,158         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,158    .2605296    .4071313          0   2.557436
(832 missing values generated)
(832 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,158
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5814
                                                    Adj R-squared     = 0.4171
                                                    Root MSE          = 0.2171

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0404806   .0402489     1.01   0.315    -.0387081    .1196693
             |
 scale_group |
          2  |   .0970958   .0478592     2.03   0.043      .002934    .1912577
          3  |          0  (omitted)
          4  |   .1641803   .0379291     4.33   0.000     .0895556    .2388049
          5  |   .1684882   .0201244     8.37   0.000     .1288939    .2080825
          6  |    .129795   .0635769     2.04   0.042      .004709     .254881
          7  |   .0019996   .0557345     0.04   0.971    -.1076567    .1116559
          8  |   .0019996   .0557345     0.04   0.971    -.1076567    .1116559
          9  |  -.0436451   .0654466    -0.67   0.505    -.1724098    .0851195
         10  |   .0565885   .0519813     1.09   0.277    -.0456835    .1588604
         11  |   .1768474   .0391849     4.51   0.000     .0997521    .2539428
         12  |   .0323327   .0311666     1.04   0.300    -.0289868    .0936523
             |
  year_group |
          5  |  -.1402153          .        .       .            .           .
          6  |    .232856   .0930513     2.50   0.013     .0497799    .4159322
          7  |   .0943776   .1478758     0.64   0.524    -.1965644    .3853196
          8  |   -.053254   .1253019    -0.43   0.671    -.2997825    .1932744
          9  |  -.0407452   .1182789    -0.34   0.731    -.2734561    .1919657
         10  |   -.068948   .1215065    -0.57   0.571    -.3080092    .1701131
         11  |  -.0279159   .1201938    -0.23   0.816    -.2643942    .2085625
         12  |  -.0425544   .1204123    -0.35   0.724    -.2794627    .1943539
         13  |  -.0694013   .1208908    -0.57   0.566    -.3072509    .1684484
             |
       _cons |    .027905   .1238216     0.23   0.822     -.215711    .2715211
------------------------------------------------------------------------------
(832 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,158         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,158    .1311197    .2822255          0    2.86142
(832 missing values generated)
(832 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,158
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7751
                                                    Adj R-squared     = 0.6869
                                                    Root MSE          = 0.2469

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0174961   .0446365    -0.39   0.695    -.1053173    .0703251
             |
 scale_group |
          2  |  -.1961233   .1144753    -1.71   0.088    -.4213507    .0291041
          3  |          0  (omitted)
          4  |  -.0764785   .0481942    -1.59   0.114    -.1712995    .0183424
          5  |  -.0044891   .0223182    -0.20   0.841    -.0483997    .0394215
          6  |  -.1780779   .0578832    -3.08   0.002    -.2919617   -.0641941
          7  |  -.0662791   .0590442    -1.12   0.262    -.1824472     .049889
          8  |  -.0196288   .0590442    -0.33   0.740    -.1357969    .0965393
          9  |  -.0099454   .0580767    -0.17   0.864    -.1242099     .104319
         10  |  -.2564264    .076373    -3.36   0.001    -.4066884   -.1061645
         11  |  -.1448918   .0550266    -2.63   0.009    -.2531553   -.0366283
         12  |   -.102792   .1004014    -1.02   0.307    -.3003293    .0947453
             |
  year_group |
          5  |   .2167146          .        .       .            .           .
          6  |   .3334488   .1092678     3.05   0.002      .118467    .5484306
          7  |   .0749108   .1309627     0.57   0.568    -.1827552    .3325768
          8  |   .2315291   .1247433     1.86   0.064    -.0139003    .4769586
          9  |   .3028272    .115485     2.62   0.009     .0756133    .5300411
         10  |   .2626322   .1231504     2.13   0.034     .0203368    .5049275
         11  |   .1623676   .1245257     1.30   0.193    -.0826337     .407369
         12  |   .1819627   .1254204     1.45   0.148    -.0647988    .4287242
         13  |   .2049324   .1258981     1.63   0.105    -.0427689    .4526338
             |
       _cons |   .1393626   .1279356     1.09   0.277    -.1123475    .3910727
------------------------------------------------------------------------------
(832 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,158         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,158    .2656499    .4504445          0     2.4742
(832 missing values generated)
(832 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,158
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(18, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9658
                                                    Adj R-squared     = 0.9524
                                                    Root MSE          = 0.1004

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0006152   .0186199     0.03   0.974    -.0360189    .0372493
             |
 scale_group |
          2  |  -.0040641   .0264269    -0.15   0.878    -.0560583    .0479301
          3  |          0  (omitted)
          4  |   .0482588   .0224647     2.15   0.032     .0040601    .0924575
          5  |   .0239074   .0093099     2.57   0.011     .0055903    .0422245
          6  |   .1354644   .0732586     1.85   0.065    -.0086702     .279599
          7  |  -.0014389   .0303368    -0.05   0.962    -.0611258    .0582481
          8  |  -.0001486   .0303368    -0.00   0.996    -.0598356    .0595383
          9  |   .0809852   .0260243     3.11   0.002      .029783    .1321875
         10  |  -.0723677   .0528652    -1.37   0.172    -.1763787    .0316433
         11  |    .069944   .0265569     2.63   0.009     .0176939    .1221941
         12  |   .0011144   .0173305     0.06   0.949    -.0329828    .0352117
             |
  year_group |
          5  |  -.0852724   3.90e-08 -2.2e+06   0.000    -.0852725   -.0852724
          6  |   .0756712   .1036548     0.73   0.466    -.1282671    .2796095
          7  |    .019503   .0686973     0.28   0.777    -.1156573    .1546632
          8  |   .0523325   .0650236     0.80   0.422    -.0755999    .1802648
          9  |   .0470555   .0663904     0.71   0.479     -.083566    .1776769
         10  |   .0254277   .0670396     0.38   0.705     -.106471    .1573264
         11  |        .03   .0711169     0.42   0.673    -.1099209    .1699208
         12  |   .0491761   .0705738     0.70   0.486     -.089676    .1880283
         13  |   .0406414   .0714297     0.57   0.570    -.0998949    .1811776
             |
       _cons |   .2379781   .0692058     3.44   0.001     .1018175    .3741388
------------------------------------------------------------------------------
(832 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,158         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,158    .3011858    .4527474          0   2.793341
(832 missing values generated)
(832 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,158
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9338
                                                    Adj R-squared     = 0.9078
                                                    Root MSE          = 0.1401

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0121461   .0282995    -0.43   0.668    -.0678247    .0435325
             |
 scale_group |
          2  |  -.0549327   .0773107    -0.71   0.478    -.2070397    .0971742
          3  |          0  (omitted)
          4  |   .0017921    .019646     0.09   0.927    -.0368609    .0404451
          5  |  -.0060731   .0141498    -0.43   0.668    -.0339124    .0217662
          6  |   -.013912   .0359555    -0.39   0.699    -.0846537    .0568296
          7  |   .0069158   .0297308     0.23   0.816    -.0515788    .0654105
          8  |   .0069158   .0297308     0.23   0.816    -.0515788    .0654105
          9  |   .0100852   .0277559     0.36   0.717    -.0445239    .0646944
         10  |  -.0097042   .0317285    -0.31   0.760    -.0721292    .0527209
         11  |  -.0037079   .0380625    -0.10   0.922     -.078595    .0711792
         12  |  -.0331637   .0624976    -0.53   0.596    -.1561262    .0897987
             |
  year_group |
          5  |  -.1786416          .        .       .            .           .
          6  |  -.8631701   .1908881    -4.52   0.000    -1.238738   -.4876024
          7  |  -.9507323   .2376029    -4.00   0.000     -1.41821   -.4832545
          8  |  -.9401144   .2434245    -3.86   0.000    -1.419046   -.4611825
          9  |  -.9432058   .2410419    -3.91   0.000     -1.41745   -.4689616
         10  |  -.9396154   .2418614    -3.88   0.000    -1.415472    -.463759
         11  |  -.8896807   .2419114    -3.68   0.000    -1.365636   -.4137259
         12  |  -.9229717   .2420588    -3.81   0.000    -1.399216   -.4467269
         13  |  -.9318786   .2421003    -3.85   0.000    -1.408205   -.4555522
             |
       _cons |   1.246055   .2408432     5.17   0.000     .7722019    1.719908
------------------------------------------------------------------------------
(832 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,158         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,158    .2993578    .4578446          0   2.492519
(832 missing values generated)
(832 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,158
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(18, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7527
                                                    Adj R-squared     = 0.6557
                                                    Root MSE          = 0.3027

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0804215   .0559274     1.44   0.151    -.0296142    .1904573
             |
 scale_group |
          2  |  -.2023276     .10141    -2.00   0.047    -.4018494   -.0028058
          3  |          0  (omitted)
          4  |   .0290875   .0543183     0.54   0.593    -.0777825    .1359574
          5  |   .0366963   .0279637     1.31   0.190    -.0183216    .0917142
          6  |   .1336926   .0810718     1.65   0.100    -.0258142    .2931993
          7  |  -.1389473   .0728759    -1.91   0.057    -.2823289    .0044343
          8  |  -.1548558   .0728759    -2.12   0.034    -.2982374   -.0114742
          9  |  -.1001093   .0776706    -1.29   0.198    -.2529244    .0527058
         10  |  -.1555745   .1307636    -1.19   0.235    -.4128486    .1016996
         11  |   .0556606   .0664163     0.84   0.403    -.0750118     .186333
         12  |   .0234867   .0713115     0.33   0.742     -.116817    .1637904
             |
  year_group |
          5  |   .0339568   9.31e-08  3.6e+05   0.000     .0339566     .033957
          6  |   .0043825   .1787301     0.02   0.980    -.3472646    .3560296
          7  |  -.0911259   .2419717    -0.38   0.707    -.5671993    .3849475
          8  |  -.1563249   .2341607    -0.67   0.505    -.6170304    .3043806
          9  |  -.1839939   .2209122    -0.83   0.406    -.6186331    .2506454
         10  |  -.1304428    .226082    -0.58   0.564    -.5752536     .314368
         11  |  -.1765233   .2261551    -0.78   0.436    -.6214778    .2684313
         12  |  -.1698839   .2275584    -0.75   0.456    -.6175996    .2778317
         13  |  -.1816788   .2278189    -0.80   0.426    -.6299069    .2665493
             |
       _cons |   .4585314   .2271393     2.02   0.044     .0116403    .9054224
------------------------------------------------------------------------------
(832 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,158         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,158     .350734    .5157244          0   3.032956

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(734 missing values generated)
(734 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,256
Absorbed variable: factor_pair                      No. of categories =    325
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7895
                                                    Adj R-squared     = 0.7103
                                                    Root MSE          = 0.2202

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0196065   .0431774    -0.45   0.650     -.104547    .0653339
             |
 scale_group |
          2  |          0  (omitted)
          3  |     .10806   .0734827     1.47   0.142    -.0364985    .2526184
          4  |   .0878832    .051991     1.69   0.092    -.0143958    .1901622
          5  |   .0612817    .044072     1.39   0.165    -.0254186    .1479821
          6  |   .1505044   .0808986     1.86   0.064     -.008643    .3096517
          7  |   .2070118   .0698802     2.96   0.003     .0695403    .3444834
          8  |   .2135951   .0698802     3.06   0.002     .0761236    .3510667
          9  |    .068811   .0647453     1.06   0.289    -.0585588    .1961808
         10  |          0  (empty)
         11  |   .2105108   .0688939     3.06   0.002     .0749796    .3460421
         12  |    .058808   .0575237     1.02   0.307    -.0543553    .1719712
             |
  year_group |
          5  |   .0237685   .0054945     4.33   0.000     .0129594    .0345776
          6  |  -.1137586   .1350942    -0.84   0.400    -.3795219    .1520047
          7  |   .1473875   .1454417     1.01   0.312     -.138732     .433507
          8  |  -.0117037   .0995764    -0.12   0.907    -.2075948    .1841875
          9  |   .0587918    .089516     0.66   0.512    -.1173081    .2348917
         10  |   .1282647   .0966281     1.33   0.185    -.0618264    .3183558
         11  |   .1695947   .1020869     1.66   0.098    -.0312353    .3704248
         12  |   .1873563   .1087246     1.72   0.086    -.0265316    .4012442
         13  |   .1216387    .106499     1.14   0.254    -.0878709    .3311483
             |
       _cons |   .0380912   .1138099     0.33   0.738    -.1858007    .2619831
------------------------------------------------------------------------------
(734 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,256         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,256    .2376137    .4175376          0    2.19034
(734 missing values generated)
(734 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,256
Absorbed variable: factor_pair                      No. of categories =    325
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8255
                                                    Adj R-squared     = 0.7599
                                                    Root MSE          = 0.2296

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0322276   .0503541     0.64   0.523    -.0668312    .1312864
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0074854   .0445859     0.17   0.867    -.0802261    .0951969
          4  |    .104671   .0335159     3.12   0.002     .0387371    .1706049
          5  |   .0629728   .0372044     1.69   0.091    -.0102173    .1361629
          6  |  -.0109334   .0647033    -0.17   0.866    -.1382206    .1163538
          7  |   .1012627   .0550741     1.84   0.067    -.0070816    .2096071
          8  |   .1012627   .0550741     1.84   0.067    -.0070816     .209607
          9  |   .0584911   .0387155     1.51   0.132    -.0176717    .1346539
         10  |          0  (empty)
         11  |   .0840172   .0503902     1.67   0.096    -.0151127     .183147
         12  |   .0114705   .0292299     0.39   0.695    -.0460319    .0689729
             |
  year_group |
          5  |  -.3933104   4.65e-08 -8.4e+06   0.000    -.3933105   -.3933104
          6  |  -.3201263   .1622029    -1.97   0.049    -.6392191   -.0010334
          7  |  -.3408025   .1330718    -2.56   0.011    -.6025873   -.0790177
          8  |  -.2941703   .1297165    -2.27   0.024    -.5493545   -.0389862
          9  |  -.2366696   .1270549    -1.86   0.063    -.4866177    .0132784
         10  |  -.1898106   .1247766    -1.52   0.129    -.4352767    .0556554
         11  |  -.1074181   .1317106    -0.82   0.415    -.3665252    .1516889
         12  |  -.2064287   .1310265    -1.58   0.116      -.46419    .0513327
         13  |  -.1118563   .1451397    -0.77   0.441    -.3973817    .1736691
             |
       _cons |   .3900163   .1306199     2.99   0.003     .1330551    .6469776
------------------------------------------------------------------------------
(734 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,256         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,256    .2667236    .4630109          0   3.331144
(734 missing values generated)
(734 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,256
Absorbed variable: factor_pair                      No. of categories =    325
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7468
                                                    Adj R-squared     = 0.6516
                                                    Root MSE          = 0.2094

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0260552   .0350486     0.74   0.458     -.042894    .0950044
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1368076   .0770468     1.78   0.077    -.0147623    .2883774
          4  |   .0991829    .041157     2.41   0.017     .0182169    .1801489
          5  |   .0839606   .0360758     2.33   0.021     .0129906    .1549305
          6  |   .0405221   .0622112     0.65   0.515    -.0818627    .1629068
          7  |   .0243744   .0387627     0.63   0.530    -.0518813    .1006301
          8  |   .0243744   .0387627     0.63   0.530    -.0518813    .1006301
          9  |   .1145043   .0575005     1.99   0.047     .0013868    .2276218
         10  |          0  (empty)
         11  |   .1053921    .045462     2.32   0.021     .0159573    .1948269
         12  |   .0804603   .0366371     2.20   0.029     .0083861    .1525344
             |
  year_group |
          5  |   .2290414   .1100477     2.08   0.038     .0125506    .4455322
          6  |  -.1236017   .1631984    -0.76   0.449    -.4446529    .1974495
          7  |   -.124231   .1507357    -0.82   0.410     -.420765    .1723031
          8  |   -.032047   .1522281    -0.21   0.833    -.3315171    .2674231
          9  |  -.1744023   .1441566    -1.21   0.227    -.4579937    .1091891
         10  |  -.1034693   .1438654    -0.72   0.473    -.3864879    .1795493
         11  |  -.1365884   .1450355    -0.94   0.347    -.4219088    .1487321
         12  |   -.151499   .1457921    -1.04   0.300    -.4383077    .1353097
         13  |   -.117212   .1454637    -0.81   0.421    -.4033748    .1689509
             |
       _cons |   .2551027   .1479846     1.72   0.086    -.0360192    .5462246
------------------------------------------------------------------------------
(734 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,256         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,256    .2459499    .3827622          0   2.746967
(734 missing values generated)
(734 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,256
Absorbed variable: factor_pair                      No. of categories =    325
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6773
                                                    Adj R-squared     = 0.5560
                                                    Root MSE          = 0.1695

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0384726   .0294256    -1.31   0.192      -.09636    .0194148
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1379535   .2133834     0.65   0.518     -.281824     .557731
          4  |   .0099372   .0311462     0.32   0.750     -.051335    .0712095
          5  |  -.0093095   .0283976    -0.33   0.743    -.0651744    .0465555
          6  |     .02284   .0541591     0.42   0.674    -.0837042    .1293842
          7  |  -.0770006   .0380848    -2.02   0.044    -.1519227   -.0020785
          8  |  -.0770006   .0380848    -2.02   0.044    -.1519227   -.0020785
          9  |  -.0514191   .0388101    -1.32   0.186    -.1277681      .02493
         10  |          0  (empty)
         11  |   .0547572   .0519382     1.05   0.293    -.0474179    .1569322
         12  |  -.0254517    .048197    -0.53   0.598     -.120267    .0693637
             |
  year_group |
          5  |   .0771982   .0958264     0.81   0.421    -.1113159    .2657122
          6  |   .2535338   .1295261     1.96   0.051    -.0012758    .5083434
          7  |   .1621599   .1352435     1.20   0.231    -.1038972     .428217
          8  |   .1543345   .1363381     1.13   0.258     -.113876     .422545
          9  |   .1291528   .1325758     0.97   0.331    -.1316564     .389962
         10  |   .0891082   .1357185     0.66   0.512    -.1778834    .3560999
         11  |   .1104129   .1354351     0.82   0.416    -.1560211    .3768468
         12  |   .0986318   .1359035     0.73   0.469    -.1687237    .3659873
         13  |   .0509012   .1362737     0.37   0.709    -.2171826    .3189849
             |
       _cons |   .0263089   .1395035     0.19   0.851    -.2481286    .3007465
------------------------------------------------------------------------------
(734 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,256         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,256    .1164508    .2650987          0   2.634508
(734 missing values generated)
(734 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,256
Absorbed variable: factor_pair                      No. of categories =    325
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8127
                                                    Adj R-squared     = 0.7423
                                                    Root MSE          = 0.2446

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0504691   .0417474     1.21   0.228    -.0316583    .1325965
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1214944   .0646652     1.88   0.061    -.0057178    .2487067
          4  |   .0024199    .054178     0.04   0.964    -.1041615    .1090014
          5  |   .0426469    .048331     0.88   0.378     -.052432    .1377259
          6  |  -.1038277   .0935014    -1.11   0.268    -.2877679    .0801125
          7  |   .0336163   .0506197     0.66   0.507     -.065965    .1331976
          8  |   .0564657   .0506197     1.12   0.265    -.0431156     .156047
          9  |   .0719445   .0945143     0.76   0.447    -.1139882    .2578772
         10  |          0  (empty)
         11  |  -.0784822   .0613421    -1.28   0.202    -.1991571    .0421927
         12  |   .0951852   .0596403     1.60   0.111    -.0221419    .2125123
             |
  year_group |
          5  |   .0616012   .1184971     0.52   0.604    -.1715116     .294714
          6  |   .2899354   .1820084     1.59   0.112    -.0681199    .6479906
          7  |   .2021653   .1772336     1.14   0.255    -.1464966    .5508272
          8  |   .1088243    .167547     0.65   0.516    -.2207817    .4384304
          9  |   .1692769   .1517714     1.12   0.266    -.1292946    .4678485
         10  |   .1379918   .1556656     0.89   0.376    -.1682406    .4442242
         11  |    .019674   .1572493     0.13   0.901     -.289674     .329022
         12  |   .0254873   .1566491     0.16   0.871    -.2826799    .3336544
         13  |   .0201456   .1583429     0.13   0.899    -.2913537    .3316449
             |
       _cons |   .1431489   .1622302     0.88   0.378    -.1759977    .4622956
------------------------------------------------------------------------------
(734 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,256         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,256     .277604    .4975533          0   2.943042
(734 missing values generated)
(734 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,256
Absorbed variable: factor_pair                      No. of categories =    325
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9667
                                                    Adj R-squared     = 0.9542
                                                    Root MSE          = 0.1101

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .006665   .0179407     0.37   0.711    -.0286286    .0419587
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0210454   .0143034    -1.47   0.142    -.0491837    .0070928
          4  |   .0208762    .025699     0.81   0.417      -.02968    .0714324
          5  |   .0020522   .0158323     0.13   0.897    -.0290938    .0331981
          6  |   .0784793   .0735365     1.07   0.287     -.066185    .2231437
          7  |    -.00618   .0334997    -0.18   0.854    -.0720821    .0597221
          8  |   .0003892   .0334997     0.01   0.991    -.0655129    .0662913
          9  |   .0088205   .0258985     0.34   0.734    -.0421281    .0597691
         10  |          0  (empty)
         11  |   .0530691   .0357071     1.49   0.138    -.0171756    .1233138
         12  |   -.002007   .0120405    -0.17   0.868    -.0256935    .0216796
             |
  year_group |
          5  |   -.120325   .0284737    -4.23   0.000    -.1763397   -.0643103
          6  |   .0222941   .0832147     0.27   0.789    -.1414096    .1859977
          7  |  -.0253223   .0543297    -0.47   0.641    -.1322021    .0815575
          8  |  -.0354375   .0528867    -0.67   0.503    -.1394786    .0686036
          9  |   -.044624   .0504704    -0.88   0.377    -.1439116    .0546635
         10  |  -.0459044   .0504398    -0.91   0.363    -.1451318     .053323
         11  |  -.0087949    .056663    -0.16   0.877    -.1202649    .1026752
         12  |  -.0101034   .0556116    -0.18   0.856    -.1195051    .0992983
         13  |  -.0302458   .0565223    -0.54   0.593    -.1414391    .0809474
             |
       _cons |   .3318349   .0561779     5.91   0.000     .2213191    .4423507
------------------------------------------------------------------------------
(734 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,256         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,256    .3120103    .5074601          0   3.306356
(734 missing values generated)
(734 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,256
Absorbed variable: factor_pair                      No. of categories =    325
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9528
                                                    Adj R-squared     = 0.9351
                                                    Root MSE          = 0.1279

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0193973    .025235    -0.77   0.443    -.0690408    .0302462
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0650363   .0926288     0.70   0.483    -.1171872    .2472598
          4  |  -.0219322   .0286335    -0.77   0.444    -.0782613    .0343969
          5  |  -.0302782    .023983    -1.26   0.208    -.0774585    .0169022
          6  |  -.0533445   .0454834    -1.17   0.242    -.1428215    .0361324
          7  |  -.0430218   .0309367    -1.39   0.165    -.1038819    .0178383
          8  |  -.0430218   .0309367    -1.39   0.165    -.1038819    .0178383
          9  |  -.0236649   .0455748    -0.52   0.604    -.1133217     .065992
         10  |          0  (empty)
         11  |  -.0618165    .043843    -1.41   0.160    -.1480664    .0244335
         12  |   .0538037   .0465709     1.16   0.249    -.0378126      .14542
             |
  year_group |
          5  |   -.208463   .0363128    -5.74   0.000    -.2798991   -.1370269
          6  |  -.6223431   .1256593    -4.95   0.000    -.8695458   -.3751404
          7  |  -.7676425   .1196307    -6.42   0.000    -1.002985   -.5322995
          8  |  -.7741113   .1072256    -7.22   0.000    -.9850503   -.5631723
          9  |  -.7339629   .1047403    -7.01   0.000    -.9400127   -.5279131
         10  |  -.7413494   .1054773    -7.03   0.000    -.9488491   -.5338496
         11  |  -.7288373   .1057094    -6.89   0.000    -.9367936   -.5208811
         12  |  -.7330929   .1067012    -6.87   0.000    -.9430003   -.5231856
         13  |  -.6927742   .1088975    -6.36   0.000    -.9070022   -.4785462
             |
       _cons |   1.063605   .1092061     9.74   0.000     .8487697     1.27844
------------------------------------------------------------------------------
(734 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,256         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,256    .3063003    .4996847          0   3.065207
(734 missing values generated)
(734 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,256
Absorbed variable: factor_pair                      No. of categories =    325
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8177
                                                    Adj R-squared     = 0.7492
                                                    Root MSE          = 0.2500

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0427025   .0469289     0.91   0.364    -.0496181    .1350231
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2258364   .1419224     1.59   0.113    -.0533597    .5050325
          4  |   .1161599   .0570738     2.04   0.043     .0038818    .2284381
          5  |   .0622166   .0423479     1.47   0.143    -.0210922    .1455253
          6  |    .115689   .0853257     1.36   0.176    -.0521676    .2835456
          7  |   .0766341   .0594941     1.29   0.199    -.0404053    .1936735
          8  |   .0707918   .0594941     1.19   0.235    -.0462476    .1878312
          9  |   .1733893   .0823305     2.11   0.036     .0114252    .3353535
         10  |          0  (empty)
         11  |    .028949   .0693238     0.42   0.677     -.107428     .165326
         12  |   .2129903   .0708947     3.00   0.003      .073523    .3524575
             |
  year_group |
          5  |  -.1493439   .0102453   -14.58   0.000     -.169499   -.1291888
          6  |  -.1138593   .1135482    -1.00   0.317    -.3372364    .1095179
          7  |  -.1607827   .1109111    -1.45   0.148     -.378972    .0574067
          8  |  -.3055081   .1026476    -2.98   0.003    -.5074411    -.103575
          9  |  -.3022083   .0810361    -3.73   0.000    -.4616262   -.1427904
         10  |  -.2718701   .0825184    -3.29   0.001    -.4342041   -.1095362
         11  |   -.286835   .0867707    -3.31   0.001    -.4575343   -.1161358
         12  |  -.3076905   .0890306    -3.46   0.001    -.4828355   -.1325455
         13  |  -.2241686   .0941208    -2.38   0.018    -.4093273   -.0390099
             |
       _cons |   .4849306   .0988989     4.90   0.000     .2903724    .6794889
------------------------------------------------------------------------------
(734 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,256         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,256     .345272     .510053          0   3.041498

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(730 missing values generated)
(730 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,260
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(15, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7948
                                                    Adj R-squared     = 0.7289
                                                    Root MSE          = 0.1962

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0315294   .0522072    -0.60   0.546    -.1342496    .0711907
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.0320309   .0676839    -0.47   0.636    -.1652021    .1011404
          4  |  -.0332406   .0633406    -0.52   0.600    -.1578663    .0913851
          5  |  -.1400797   .0607585    -2.31   0.022    -.2596251   -.0205344
          6  |  -.0629061   .0893431    -0.70   0.482     -.238693    .1128808
          7  |  -.0052373          .        .       .            .           .
          8  |          0  (omitted)
          9  |   -.103422   .0632135    -1.64   0.103    -.2277976    .0209537
         10  |          0  (empty)
         11  |   .0531641   .0618837     0.86   0.391    -.0685951    .1749232
         12  |   .0222975   .0356203     0.63   0.532    -.0477871    .0923822
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |  -.1637879   .0657413    -2.49   0.013    -.2931371   -.0344387
          7  |   .0281654   .0862328     0.33   0.744    -.1415017    .1978326
          8  |  -.0005486    .064941    -0.01   0.993    -.1283232    .1272259
          9  |   .0138487   .0637981     0.22   0.828    -.1116772    .1393746
         10  |   .0406948   .0463875     0.88   0.381    -.0505748    .1319644
         11  |   .0287669   .0438309     0.66   0.512    -.0574725    .1150064
         12  |   .0619705   .0398429     1.56   0.121    -.0164223    .1403633
         13  |          0  (omitted)
             |
       _cons |   .2346183   .0635271     3.69   0.000     .1096258    .3596108
------------------------------------------------------------------------------
(730 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,260         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,260    .2052815    .3790827          0   2.668504
(730 missing values generated)
(730 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,260
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(16, 314)        =   2.87
                                                    Prob > F          = 0.0002
                                                    R-squared         = 0.8237
                                                    Adj R-squared     = 0.7671
                                                    Root MSE          = 0.2027

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0407957   .0467356     0.87   0.383    -.0511588    .1327503
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.0126468   .0471877    -0.27   0.789    -.1054908    .0801973
          4  |   .0108863   .0345744     0.31   0.753    -.0571404     .078913
          5  |  -.0156979   .0291134    -0.54   0.590    -.0729798    .0415841
          6  |  -.0451479   .0590252    -0.76   0.445    -.1612828     .070987
          7  |   1.04e-15   3.53e-08     0.00   1.000    -6.94e-08    6.94e-08
          8  |          0  (omitted)
          9  |  -.0003324   .0382632    -0.01   0.993    -.0756171    .0749524
         10  |          0  (empty)
         11  |  -.0171582   .0457857    -0.37   0.708    -.1072437    .0729273
         12  |   .0211094    .030975     0.68   0.496    -.0398353    .0820541
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |   -.195208   .1361698    -1.43   0.153    -.4631286    .0727126
          7  |  -.2667548   .0892813    -2.99   0.003      -.44242   -.0910896
          8  |  -.2000012   .0844351    -2.37   0.018    -.3661313   -.0338712
          9  |  -.1799551   .0774381    -2.32   0.021    -.3323183   -.0275919
         10  |  -.1093754   .0750031    -1.46   0.146    -.2569476    .0381967
         11  |  -.0569502   .0876614    -0.65   0.516    -.2294282    .1155278
         12  |  -.1187101   .0705631    -1.68   0.093    -.2575465    .0201262
         13  |          0  (omitted)
             |
       _cons |   .3382097   .0661639     5.11   0.000      .208029    .4683904
------------------------------------------------------------------------------
(730 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,260         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,260    .2249206    .4040593          0   2.951805
(730 missing values generated)
(730 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,260
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(16, 314)        =   3.06
                                                    Prob > F          = 0.0001
                                                    R-squared         = 0.7633
                                                    Adj R-squared     = 0.6873
                                                    Root MSE          = 0.1990

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0269165   .0319823     0.84   0.401    -.0360102    .0898432
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .1732379    .049032     3.53   0.000     .0767652    .2697106
          4  |   .1097841   .0413888     2.65   0.008     .0283497    .1912186
          5  |   .0488686   .0404018     1.21   0.227    -.0306239     .128361
          6  |   .0319819     .04468     0.72   0.475    -.0559281    .1198919
          7  |  -9.93e-09   2.01e-08    -0.49   0.622    -4.96e-08    2.97e-08
          8  |          0  (omitted)
          9  |   .0955399   .0498745     1.92   0.056    -.0025906    .1936704
         10  |          0  (empty)
         11  |   .0935014   .0414463     2.26   0.025     .0119538     .175049
         12  |   .0079144   .0427424     0.19   0.853    -.0761834    .0920121
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |  -.1528702   .1405712    -1.09   0.278    -.4294507    .1237102
          7  |    .067513   .0702467     0.96   0.337    -.0707008    .2057267
          8  |   .0092935   .0521766     0.18   0.859    -.0933664    .1119535
          9  |   .0085084   .0389374     0.22   0.827    -.0681028    .0851197
         10  |   .0024811    .030244     0.08   0.935    -.0570254    .0619876
         11  |  -.0361756    .028208    -1.28   0.201    -.0916762     .019325
         12  |  -.0108507   .0268052    -0.40   0.686    -.0635912    .0418897
         13  |          0  (omitted)
             |
       _cons |   .1556771   .0386178     4.03   0.000     .0796947    .2316595
------------------------------------------------------------------------------
(730 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,260         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,260     .233398    .3628223          0    2.30914
(730 missing values generated)
(730 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,260
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(16, 314)        =   3.18
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.6224
                                                    Adj R-squared     = 0.5012
                                                    Root MSE          = 0.1591

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0143345   .0285049    -0.50   0.615    -.0704192    .0417501
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0904999    .030862     2.93   0.004     .0297775    .1512224
          3  |          0  (omitted)
          4  |   .1846892   .0533816     3.46   0.001     .0796583    .2897201
          5  |   .1614042   .0478799     3.37   0.001     .0671981    .2556103
          6  |   .1742357   .0553147     3.15   0.002     .0654015      .28307
          7  |   7.36e-15   1.69e-08     0.00   1.000    -3.33e-08    3.33e-08
          8  |          0  (omitted)
          9  |   .0739891   .0542324     1.36   0.173    -.0327156    .1806939
         10  |          0  (empty)
         11  |   .1734717   .0501329     3.46   0.001     .0748329    .2721105
         12  |   .0776683   .0244922     3.17   0.002     .0294787    .1258579
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |   .5317213   .1616197     3.29   0.001     .2137268    .8497157
          7  |   .0997522    .054378     1.83   0.068    -.0072391    .2067436
          8  |   .0515331   .0381632     1.35   0.178    -.0235549     .126621
          9  |  -.0132542   .0290545    -0.46   0.649    -.0704204    .0439119
         10  |   .0095271   .0282558     0.34   0.736    -.0460676    .0651218
         11  |   .0247198   .0247584     1.00   0.319    -.0239936    .0734332
         12  |   .0104062   .0239297     0.43   0.664    -.0366767    .0574891
         13  |          0  (omitted)
             |
       _cons |   -.062078   .0410176    -1.51   0.131    -.1427821     .018626
------------------------------------------------------------------------------
(730 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,260         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,260    .0893294    .2159863          0   2.087162
(730 missing values generated)
(730 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,260
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(15, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7986
                                                    Adj R-squared     = 0.7340
                                                    Root MSE          = 0.2411

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1023524    .045377     2.26   0.025      .013071    .1916337
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .0851384   .0796613     1.07   0.286    -.0715991    .2418759
          4  |   -.056568     .04726    -1.20   0.232    -.1495543    .0364182
          5  |  -.0069058   .0521964    -0.13   0.895    -.1096048    .0957931
          6  |  -.0255115   .0574682    -0.44   0.657     -.138583    .0875599
          7  |          0  (omitted)
          8  |   .0239249          .        .       .            .           .
          9  |  -.0025788   .0798276    -0.03   0.974    -.1596435    .1544858
         10  |          0  (empty)
         11  |  -.0939738   .0481162    -1.95   0.052    -.1886448    .0006972
         12  |   .0308165   .0513481     0.60   0.549    -.0702134    .1318464
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |   .2177074   .3218288     0.68   0.499    -.4155061    .8509209
          7  |   .0671044   .1115707     0.60   0.548    -.1524162     .286625
          8  |   .0778427    .074325     1.05   0.296    -.0683954    .2240807
          9  |   .1646986   .0580668     2.84   0.005     .0504494    .2789477
         10  |    .088334   .0490584     1.80   0.073    -.0081907    .1848586
         11  |  -.0232437   .0433431    -0.54   0.592    -.1085234    .0620359
         12  |   .0012094   .0458478     0.03   0.979    -.0889983     .091417
         13  |          0  (omitted)
             |
       _cons |   .1896237   .0579459     3.27   0.001     .0756124     .303635
------------------------------------------------------------------------------
(730 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,260         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,260    .2517609    .4689957          0    3.01403
(730 missing values generated)
(730 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,260
Absorbed variable: factor_pair                    No. of categories =      291
                                                  F(16, 314)        = 2.38e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9745
                                                  Adj R-squared     =   0.9663
                                                  Root MSE          =   0.0855

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |     .00247   .0168014     0.15   0.883    -.0305876    .0355277
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.0184372   .0201956    -0.91   0.362    -.0581729    .0212985
          4  |   .0619026   .0289539     2.14   0.033     .0049344    .1188708
          5  |   .0378884   .0277238     1.37   0.173    -.0166594    .0924363
          6  |   .0878386   .0450972     1.95   0.052    -.0008922    .1765695
          7  |          0  (omitted)
          8  |   .0103571   1.68e-08  6.2e+05   0.000     .0103571    .0103571
          9  |   .0595422    .030736     1.94   0.054    -.0009323    .1200167
         10  |          0  (empty)
         11  |   .0800474   .0440782     1.82   0.070    -.0066786    .1667733
         12  |   .0078878   .0087512     0.90   0.368    -.0093306    .0251062
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |    .072569   .0691614     1.05   0.295    -.0635094    .2086474
          7  |  -.0295913   .0264003    -1.12   0.263    -.0815352    .0223526
          8  |  -.0082053   .0256067    -0.32   0.749    -.0585877    .0421771
          9  |  -.0085601   .0274505    -0.31   0.755    -.0625702      .04545
         10  |  -.0272268   .0218201    -1.25   0.213     -.070159    .0157053
         11  |  -.0172925   .0251887    -0.69   0.493    -.0668525    .0322674
         12  |  -.0182657   .0239477    -0.76   0.446    -.0653839    .0288525
         13  |          0  (omitted)
             |
       _cons |    .274814   .0317074     8.67   0.000     .2124283    .3371998
------------------------------------------------------------------------------
(730 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,260         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,260    .2839259    .4542006          0   2.239319
(730 missing values generated)
(730 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,260
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(16, 314)        =   1.51
                                                    Prob > F          = 0.0941
                                                    R-squared         = 0.9631
                                                    Adj R-squared     = 0.9513
                                                    Root MSE          = 0.1024

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0102907   .0249728    -0.41   0.681    -.0594259    .0388444
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .0175451   .0413222     0.42   0.671    -.0637583    .0988484
          4  |   .0181459   .0169335     1.07   0.285    -.0151715    .0514633
          5  |   .0049461   .0185476     0.27   0.790    -.0315471    .0414393
          6  |   .0118946   .0202109     0.59   0.557    -.0278713    .0516605
          7  |  -2.98e-08   9.66e-09    -3.08   0.002    -4.88e-08   -1.08e-08
          8  |          0  (omitted)
          9  |    .029941   .0258295     1.16   0.247    -.0208797    .0807617
         10  |          0  (empty)
         11  |   .0353613   .0258057     1.37   0.172    -.0154127    .0861353
         12  |   .0494225   .0304173     1.62   0.105     -.010425    .1092701
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |  -.0880074   .0944399    -0.93   0.352    -.2738225    .0978076
          7  |  -.0033188   .0442018    -0.08   0.940    -.0902878    .0836503
          8  |  -.0255846   .0367942    -0.70   0.487    -.0979788    .0468097
          9  |   .0130645    .035997     0.36   0.717    -.0577613    .0838903
         10  |   -.000757   .0303191    -0.02   0.980    -.0604112    .0588973
         11  |  -.0044914   .0318137    -0.14   0.888    -.0670865    .0581036
         12  |  -.0053412   .0297862    -0.18   0.858     -.063947    .0532645
         13  |          0  (omitted)
             |
       _cons |   .2900648   .0307864     9.42   0.000      .229491    .3506385
------------------------------------------------------------------------------
(730 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,260         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,260    .2788047    .4514888          0   2.463082
(730 missing values generated)
(730 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,260
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(15, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7391
                                                    Adj R-squared     = 0.6553
                                                    Root MSE          = 0.2909

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1107629   .0620313     1.79   0.075    -.0112866    .2328123
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .0886268   .0696672     1.27   0.204    -.0484468    .2257004
          4  |  -.0569074   .0531568    -1.07   0.285     -.161496    .0476813
          5  |   -.070226   .0523585    -1.34   0.181     -.173244    .0327919
          6  |  -.0315775   .0838941    -0.38   0.707    -.1966431     .133488
          7  |  -.0401332          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0283458   .0752279     0.38   0.707    -.1196687    .1763602
         10  |          0  (empty)
         11  |   .0205179   .0565988     0.36   0.717     -.090843    .1318788
         12  |   .0818718   .0393223     2.08   0.038     .0045033    .1592403
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |  -.0069366   .3272612    -0.02   0.983    -.6508386    .6369654
          7  |   .0870514   .1270229     0.69   0.494    -.1628724    .3369751
          8  |  -.1134303   .0762615    -1.49   0.138    -.2634784    .0366178
          9  |  -.0509184   .0677814    -0.75   0.453    -.1842815    .0824447
         10  |  -.0387112   .0554662    -0.70   0.486    -.1478435    .0704211
         11  |  -.0488453   .0540793    -0.90   0.367    -.1552488    .0575582
         12  |  -.0202614    .056522    -0.36   0.720    -.1314712    .0909483
         13  |          0  (omitted)
             |
       _cons |   .3407653   .0620815     5.49   0.000      .218617    .4629137
------------------------------------------------------------------------------
(730 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,260         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,260    .3240636    .4827096          0   2.968672

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(17, 317)        =   3.16
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7911
                                                    Adj R-squared     = 0.7191
                                                    Root MSE          = 0.2065

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0164788   .0514089    -0.32   0.749    -.1176246     .084667
             |
 scale_group |
          2  |   -.067228   .1089688    -0.62   0.538    -.2816214    .1471654
          3  |          0  (omitted)
          4  |  -.0737741   .0569293    -1.30   0.196    -.1857811    .0382329
          5  |  -.1502802   .0639186    -2.35   0.019    -.2760385   -.0245218
          6  |  -.0884885   .0736108    -1.20   0.230     -.233316    .0563391
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |  -.1283226   .0597154    -2.15   0.032    -.2458112    -.010834
         10  |  -.0270734   .0695248    -0.39   0.697    -.1638619     .109715
         11  |  -.0127825    .063499    -0.20   0.841    -.1377153    .1121503
         12  |  -.0106258   .0983165    -0.11   0.914    -.2040612    .1828095
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1280549   .0963984    -1.33   0.185    -.3177163    .0616066
          7  |   .2164514   .0879987     2.46   0.014     .0433162    .3895867
          8  |   .1427191    .071267     2.00   0.046      .002503    .2829351
          9  |   .2340023   .0854034     2.74   0.006     .0659732    .4020313
         10  |   .2896367   .0666749     4.34   0.000     .1584555    .4208178
         11  |   .3147155   .0759251     4.15   0.000     .1653348    .4640962
         12  |   .3341964   .0733847     4.55   0.000     .1898137    .4785791
         13  |   .2940156    .078973     3.72   0.000     .1386382     .449393
             |
       _cons |   .0182793   .0755675     0.24   0.809     -.130398    .1669566
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,264    .2175373    .3951287          0   2.883026
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(17, 317)        =   3.20
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8217
                                                    Adj R-squared     = 0.7602
                                                    Root MSE          = 0.2086

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0804579   .0521065    -1.54   0.124    -.1829763    .0220604
             |
 scale_group |
          2  |   .0030263   .0563525     0.05   0.957    -.1078458    .1138984
          3  |          0  (omitted)
          4  |   .0768364   .0327455     2.35   0.020     .0124105    .1412624
          5  |   .0276729   .0353864     0.78   0.435    -.0419491    .0972949
          6  |    .057068   .0423822     1.35   0.179    -.0263179    .1404539
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0588737   .0331862     1.77   0.077    -.0064193    .1241668
         10  |   .0779224   .0416213     1.87   0.062    -.0039665    .1598114
         11  |   .0540568   .0441377     1.22   0.222    -.0327831    .1408968
         12  |   .0474864   .0424577     1.12   0.264    -.0360482    .1310209
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2420529   .1523416    -1.59   0.113    -.5417813    .0576755
          7  |   -.272651   .1127892    -2.42   0.016    -.4945609   -.0507411
          8  |  -.2001781   .1061084    -1.89   0.060    -.4089437    .0085876
          9  |  -.1477114   .1085145    -1.36   0.174     -.361211    .0657882
         10  |  -.0514265   .1054008    -0.49   0.626    -.2588001    .1559471
         11  |  -.0054476   .1131295    -0.05   0.962    -.2280273     .217132
         12  |  -.0961921   .1087507    -0.88   0.377    -.3101565    .1177723
         13  |  -.0229365   .1228926    -0.19   0.852    -.2647248    .2188517
             |
       _cons |   .3335737    .108219     3.08   0.002     .1206555    .5464919
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,264    .2440444    .4182206          0   3.002659
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(17, 317)        =   5.33
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7872
                                                    Adj R-squared     = 0.7137
                                                    Root MSE          = 0.1867

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0644044   .0404572     1.59   0.112    -.0151942    .1440031
             |
 scale_group |
          2  |  -.0486415    .078937    -0.62   0.538    -.2039482    .1066653
          3  |          0  (omitted)
          4  |   .0242511   .0272397     0.89   0.374    -.0293423    .0778446
          5  |  -.0073165   .0338848    -0.22   0.829     -.073984    .0593509
          6  |  -.0588809   .0369881    -1.59   0.112    -.1316542    .0138923
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0480799   .0406716     1.18   0.238    -.0319404    .1281003
         10  |    .065338   .0296001     2.21   0.028     .0071005    .1235756
         11  |   .0149831    .029041     0.52   0.606    -.0421544    .0721206
         12  |  -.0810905   .0663658    -1.22   0.223    -.2116636    .0494825
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2763644   .0883067    -3.13   0.002    -.4501058   -.1026231
          7  |  -.3753761   .0814479    -4.61   0.000    -.5356228   -.2151294
          8  |  -.3091566   .0642432    -4.81   0.000    -.4355536   -.1827596
          9  |  -.3700377   .0686203    -5.39   0.000    -.5050464    -.235029
         10  |  -.3458165   .0627318    -5.51   0.000    -.4692397   -.2223932
         11  |  -.3789995   .0656125    -5.78   0.000    -.5080904   -.2499085
         12  |  -.3458571   .0662942    -5.22   0.000    -.4762893   -.2154248
         13  |  -.3354482   .0651953    -5.15   0.000    -.4637185    -.207178
             |
       _cons |   .5503009   .0629417     8.74   0.000     .4264647    .6741371
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,264    .2307742    .3629338          0   2.819629
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(17, 317)        =   3.41
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.6518
                                                    Adj R-squared     = 0.5316
                                                    Root MSE          = 0.1643

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0319445   .0329315    -0.97   0.333    -.0967363    .0328474
             |
 scale_group |
          2  |   .1859836   .0697152     2.67   0.008     .0488206    .3231466
          3  |          0  (omitted)
          4  |   .1026044   .0276414     3.71   0.000     .0482205    .1569882
          5  |   .0861144   .0304072     2.83   0.005      .026289    .1459398
          6  |   .1469159    .041607     3.53   0.000     .0650551    .2287767
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0172169   .0315526     0.55   0.586    -.0448621     .079296
         10  |   .0588687   .0257597     2.29   0.023     .0081871    .1095504
         11  |   .1161625   .0407163     2.85   0.005     .0360541    .1962709
         12  |   .1658506   .0646891     2.56   0.011     .0385764    .2931248
             |
  year_group |
          5  |          0  (empty)
          6  |   .0037678   .1637256     0.02   0.982    -.3183584    .3258939
          7  |  -.2165436   .1231763    -1.76   0.080    -.4588901    .0258028
          8  |  -.2744295    .117319    -2.34   0.020    -.5052517   -.0436073
          9  |  -.2972944   .1232559    -2.41   0.016    -.5397974   -.0547915
         10  |  -.2592291   .1231407    -2.11   0.036    -.5015054   -.0169528
         11  |  -.2347712   .1233712    -1.90   0.058    -.4775011    .0079586
         12  |  -.2489897   .1229527    -2.03   0.044    -.4908962   -.0070833
         13  |  -.2448017   .1249244    -1.96   0.051    -.4905874    .0009839
             |
       _cons |   .2669553   .1240783     2.15   0.032     .0228343    .5110764
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,264    .1155912    .2482174          0   2.380743
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(17, 317)        =   4.83
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7430
                                                    Adj R-squared     = 0.6544
                                                    Root MSE          = 0.2754

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0899022   .0494804     1.82   0.070    -.0074493    .1872537
             |
 scale_group |
          2  |  -.1384179   .0921686    -1.50   0.134    -.3197575    .0429216
          3  |          0  (omitted)
          4  |  -.0757775   .0560119    -1.35   0.177    -.1859796    .0344246
          5  |  -.0555566   .0742223    -0.75   0.455    -.2015872    .0904741
          6  |  -.1228016   .0535459    -2.29   0.022    -.2281517   -.0174514
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |    .005032   .0691339     0.07   0.942    -.1309872    .1410513
         10  |  -.2164257   .0506097    -4.28   0.000    -.3159991   -.1168523
         11  |  -.1841387   .0496154    -3.71   0.000    -.2817558   -.0865216
         12  |  -.1363393   .0697886    -1.95   0.052    -.2736467    .0009682
             |
  year_group |
          5  |          0  (empty)
          6  |   .7585973   .2991153     2.54   0.012     .1700953    1.347099
          7  |   .0907105   .2216146     0.41   0.683    -.3453108    .5267318
          8  |   .2370137    .186889     1.27   0.206    -.1306858    .6047132
          9  |   .2509144    .193853     1.29   0.196    -.1304866    .6323155
         10  |   .1431909   .1855095     0.77   0.441    -.2217946    .5081764
         11  |   .0233423   .1886027     0.12   0.902    -.3477289    .3944135
         12  |   .0478527   .1894845     0.25   0.801    -.3249535    .4206589
         13  |   .0822296   .1897802     0.43   0.665    -.2911584    .4556175
             |
       _cons |   .1881574   .1864071     1.01   0.314     -.178594    .5549088
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,264    .2542352    .4777159          0   3.648774
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(17, 317)        =   1.13
                                                    Prob > F          = 0.3259
                                                    R-squared         = 0.9664
                                                    Adj R-squared     = 0.9549
                                                    Root MSE          = 0.1013

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0074423    .020564     0.36   0.718    -.0330169    .0479015
             |
 scale_group |
          2  |  -.0213954   .0294838    -0.73   0.469     -.079404    .0366133
          3  |          0  (omitted)
          4  |   .0273062   .0202902     1.35   0.179    -.0126143    .0672267
          5  |  -.0058071   .0267238    -0.22   0.828    -.0583854    .0467713
          6  |   .1055771    .054676     1.93   0.054    -.0019965    .2131507
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0216214    .029484     0.73   0.464    -.0363877    .0796305
         10  |  -.0588533   .0374455    -1.57   0.117    -.1325264    .0148198
         11  |   .0260072   .0300516     0.87   0.387    -.0331186    .0851331
         12  |  -.0069303   .0228315    -0.30   0.762    -.0518507      .03799
             |
  year_group |
          5  |          0  (empty)
          6  |     .08236   .0453736     1.82   0.070    -.0069114    .1716314
          7  |   .0701387    .041017     1.71   0.088    -.0105613    .1508387
          8  |   .0730558   .0351073     2.08   0.038      .003983    .1421286
          9  |   .0707915   .0405006     1.75   0.081    -.0088925    .1504755
         10  |   .0476915   .0368173     1.30   0.196    -.0247457    .1201286
         11  |   .0545321   .0403695     1.35   0.178     -.024894    .1339581
         12  |   .0656354   .0390944     1.68   0.094    -.0112817    .1425526
         13  |   .0733117   .0415728     1.76   0.079    -.0084818    .1551052
             |
       _cons |   .2311795    .038657     5.98   0.000     .1551227    .3072363
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,264    .2907501    .4709664          0   3.307223
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(17, 317)        =   7.32
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9482
                                                    Adj R-squared     = 0.9303
                                                    Root MSE          = 0.1257

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0095952   .0288822    -0.33   0.740    -.0664203    .0472299
             |
 scale_group |
          2  |  -.0093136   .1277065    -0.07   0.942    -.2605729    .2419458
          3  |          0  (omitted)
          4  |  -.0106214   .0194047    -0.55   0.585    -.0487996    .0275569
          5  |  -.0401607    .024572    -1.63   0.103    -.0885056    .0081841
          6  |  -.0192582   .0220681    -0.87   0.384    -.0626766    .0241602
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0206373   .0272658     0.76   0.450    -.0330075    .0742821
         10  |  -.0272389   .0198181    -1.37   0.170    -.0662306    .0117528
         11  |  -.0138238   .0281947    -0.49   0.624    -.0692961    .0416486
         12  |   .0370607   .1268577     0.29   0.770    -.2125287    .2866501
             |
  year_group |
          5  |          0  (empty)
          6  |  -.7246073   .0892093    -8.12   0.000    -.9001245   -.5490902
          7  |  -.6867515   .1281573    -5.36   0.000    -.9388978   -.4346052
          8  |  -.6655784   .1266605    -5.25   0.000    -.9147798    -.416377
          9  |  -.6554034   .1264933    -5.18   0.000    -.9042758   -.4065309
         10  |  -.6554521   .1274396    -5.14   0.000    -.9061864   -.4047177
         11  |  -.6274907   .1268639    -4.95   0.000    -.8770923    -.377889
         12  |  -.6233107    .126392    -4.93   0.000    -.8719839   -.3746375
         13  |   -.615708   .1288753    -4.78   0.000    -.8692669   -.3621491
             |
       _cons |   .9590528   .1277553     7.51   0.000     .7076974    1.210408
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,264    .2915816    .4679665          0   3.136911
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(17, 317)        =   2.88
                                                    Prob > F          = 0.0001
                                                    R-squared         = 0.7996
                                                    Adj R-squared     = 0.7304
                                                    Root MSE          = 0.2589

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .020458   .0553755     0.37   0.712     -.088492     .129408
             |
 scale_group |
          2  |   .0552441   .0684732     0.81   0.420    -.0794753    .1899635
          3  |          0  (omitted)
          4  |    .098624   .0500575     1.97   0.050     .0001371    .1971108
          5  |   .0490747   .0580974     0.84   0.399    -.0652304    .1633799
          6  |   .1572126   .0672659     2.34   0.020     .0248685    .2895566
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .2214683   .0613102     3.61   0.000     .1008419    .3420947
         10  |   -.052787   .0578623    -0.91   0.362    -.1666298    .0610557
         11  |   .1067936   .0640137     1.67   0.096    -.0191518     .232739
         12  |   .0965986   .0461476     2.09   0.037     .0058044    .1873928
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1433387   .1412308    -1.01   0.311     -.421207    .1345295
          7  |  -.3744907   .1765842    -2.12   0.035    -.7219158   -.0270656
          8  |  -.3550434   .1599029    -2.22   0.027    -.6696484   -.0404384
          9  |  -.3554637   .1573621    -2.26   0.025    -.6650698   -.0458577
         10  |  -.3627334   .1537889    -2.36   0.019    -.6653093   -.0601575
         11  |  -.3668635   .1573477    -2.33   0.020    -.6764412   -.0572858
         12  |  -.3330869   .1555095    -2.14   0.033    -.6390481   -.0271257
         13  |  -.3285878   .1590379    -2.07   0.040    -.6414911   -.0156846
             |
       _cons |    .579304   .1530106     3.79   0.000     .2782593    .8803487
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,264    .3231256     .488209          0   2.628805

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 318)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7651
                                                    Adj R-squared     = 0.6769
                                                    Root MSE          = 0.2487

                        (Std. err. adjusted for 319 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0098292   .0642515    -0.15   0.879     -.136241    .1165826
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0348791   .0802674    -0.43   0.664    -.1928014    .1230432
          4  |   .1690822    .052608     3.21   0.001     .0655784    .2725859
          5  |   .0873258   .0589898     1.48   0.140    -.0287338    .2033854
          6  |   .1502762   .0735384     2.04   0.042     .0055929    .2949594
          7  |   .2126773   .0926639     2.30   0.022     .0303656    .3949889
          8  |   .2185623   .0926639     2.36   0.019     .0362507     .400874
          9  |   .1484709   .0685256     2.17   0.031       .01365    .2832918
         10  |   .1764244   .1403121     1.26   0.210    -.0996329    .4524817
         11  |   .2167545   .0655004     3.31   0.001     .0878855    .3456235
         12  |  -.0403343   .0524067    -0.77   0.442    -.1434419    .0627734
             |
  year_group |
          5  |   .0470319   .0013148    35.77   0.000     .0444451    .0496187
          6  |  -.0710912   .2149452    -0.33   0.741    -.4939855     .351803
          7  |     .08103   .1503095     0.54   0.590    -.2146967    .3767567
          8  |  -.0083561   .1219908    -0.07   0.945    -.2483671    .2316549
          9  |   .1022091   .1240055     0.82   0.410    -.1417659     .346184
         10  |   .1479991   .1276309     1.16   0.247    -.1031085    .3991067
         11  |   .2115877   .1362405     1.55   0.121     -.056459    .4796344
         12  |    .197198   .1298247     1.52   0.130    -.0582259    .4526219
         13  |   .2085525   .1342006     1.55   0.121    -.0554806    .4725857
             |
       _cons |  -.0157401   .1332825    -0.12   0.906     -.277967    .2464868
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,232    .2393023    .4353872          0   2.970062
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 318)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8278
                                                    Adj R-squared     = 0.7631
                                                    Root MSE          = 0.2181

                        (Std. err. adjusted for 319 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0133495   .0578721    -0.23   0.818    -.1272101    .1005111
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .058548   .0786893     0.74   0.457    -.0962694    .2133653
          4  |   .1100089   .0462103     2.38   0.018     .0190924    .2009253
          5  |   .1012226     .05083     1.99   0.047      .001217    .2012282
          6  |   .0659866   .0620283     1.06   0.288    -.0560511    .1880243
          7  |   .0589222   .0755362     0.78   0.436    -.0896917     .207536
          8  |   .0589221   .0755362     0.78   0.436    -.0896917     .207536
          9  |   .1001293   .0475355     2.11   0.036     .0066055    .1936531
         10  |   .1099498   .0691344     1.59   0.113    -.0260687    .2459683
         11  |   .1118255   .0587213     1.90   0.058    -.0037058    .2273569
         12  |   .0361747   .0543833     0.67   0.506    -.0708218    .1431712
             |
  year_group |
          5  |    -.41843   4.50e-08 -9.3e+06   0.000    -.4184301   -.4184299
          6  |  -.4834212   .0511875    -9.44   0.000    -.5841302   -.3827122
          7  |  -.4609203   .0389977   -11.82   0.000    -.5376463   -.3841942
          8  |  -.3884336   .0322167   -12.06   0.000    -.4518184   -.3250488
          9  |  -.3957822   .0292713   -13.52   0.000     -.453372   -.3381923
         10  |  -.2845072   .0361033    -7.88   0.000    -.3555388   -.2134756
         11  |  -.2157568   .0564268    -3.82   0.000    -.3267738   -.1047399
         12  |  -.3151834   .0438166    -7.19   0.000    -.4013905   -.2289763
         13  |  -.2337645   .0685876    -3.41   0.001    -.3687072   -.0988218
             |
       _cons |   .5056256   .0641934     7.88   0.000     .3793283     .631923
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,232    .2687972    .4460575          0   3.116438
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 318)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7630
                                                    Adj R-squared     = 0.6740
                                                    Root MSE          = 0.2321

                        (Std. err. adjusted for 319 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0597139   .0390091     1.53   0.127    -.0170346    .1364625
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3333108   .0892807     3.73   0.000     .1576553    .5089663
          4  |   .0985561   .0563879     1.75   0.081    -.0123843    .2094966
          5  |   .0712329   .0581158     1.23   0.221    -.0431072    .1855729
          6  |   .0763066   .0654637     1.17   0.245      -.05249    .2051032
          7  |   .0967461   .0665094     1.45   0.147    -.0341078    .2276001
          8  |   .0967461   .0665094     1.45   0.147    -.0341078    .2276001
          9  |   .0393044   .0654736     0.60   0.549    -.0895118    .1681205
         10  |   .1529366   .0616926     2.48   0.014     .0315594    .2743139
         11  |    .104354   .0617011     1.69   0.092    -.0170399     .225748
         12  |   .0723811    .079926     0.91   0.366    -.0848696    .2296317
             |
  year_group |
          5  |   .1227106   .0693833     1.77   0.078    -.0137977    .2592189
          6  |   -.185033   .0967761    -1.91   0.057    -.3754353    .0053693
          7  |  -.2482843   .1046479    -2.37   0.018    -.4541741   -.0423945
          8  |  -.2360406   .0948232    -2.49   0.013    -.4226007   -.0494805
          9  |   -.311744   .0897099    -3.48   0.001     -.488244    -.135244
         10  |  -.3456858    .091357    -3.78   0.000    -.5254264   -.1659453
         11  |  -.3332613    .092568    -3.60   0.000    -.5153843   -.1511382
         12  |  -.2969627   .0954671    -3.11   0.002    -.4847896   -.1091357
         13  |  -.2893344    .093342    -3.10   0.002    -.4729803   -.1056886
             |
       _cons |   .4563324   .1006775     4.53   0.000     .2582543    .6544105
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,232    .2880808    .4560732          0   3.003727
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 318)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6293
                                                    Adj R-squared     = 0.4902
                                                    Root MSE          = 0.2278

                        (Std. err. adjusted for 319 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.060367   .0332194    -1.82   0.070    -.1257245    .0049906
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0943684   .2194945     0.43   0.668    -.3374766    .5262133
          4  |   .1254965   .0427705     2.93   0.004     .0413476    .2096455
          5  |   .1034184   .0448957     2.30   0.022     .0150884    .1917485
          6  |   .1331885   .0535149     2.49   0.013     .0279004    .2384766
          7  |   .0516846   .0550272     0.94   0.348    -.0565789     .159948
          8  |   .0516846   .0550272     0.94   0.348    -.0565789     .159948
          9  |   .0029954   .0537091     0.06   0.956    -.1026746    .1086655
         10  |   .0607948   .0552955     1.10   0.272    -.0479965    .1695861
         11  |   .1500513   .0651359     2.30   0.022     .0218996    .2782031
         12  |   -.088956   .0416886    -2.13   0.034    -.1709763   -.0069358
             |
  year_group |
          5  |   .0299981   .0806357     0.37   0.710    -.1286488     .188645
          6  |   .1320858    .176055     0.75   0.454    -.2142939    .4784655
          7  |   .1630427   .1817221     0.90   0.370    -.1944867    .5205722
          8  |   .0534633   .1611099     0.33   0.740    -.2635127    .3704393
          9  |   .0119862   .1626177     0.07   0.941    -.3079563    .3319287
         10  |   .0220177   .1616115     0.14   0.892    -.2959451    .3399805
         11  |   .0631768   .1643127     0.38   0.701    -.2601006    .3864541
         12  |   .0190018   .1631213     0.12   0.907    -.3019316    .3399351
         13  |  -.0256138   .1641752    -0.16   0.876    -.3486206    .2973931
             |
       _cons |    .069363   .1642424     0.42   0.673    -.2537761    .3925021
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,232      .14661    .3224731          0   2.662071
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 318)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7652
                                                    Adj R-squared     = 0.6770
                                                    Root MSE          = 0.2752

                        (Std. err. adjusted for 319 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0445453   .0524552     0.85   0.396    -.0586578    .1477485
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0968401   .1133638     0.85   0.394    -.1261978    .3198779
          4  |   -.039823   .0301717    -1.32   0.188    -.0991844    .0195383
          5  |   .0385496   .0319271     1.21   0.228    -.0242654    .1013647
          6  |   -.111319    .074065    -1.50   0.134    -.2570384    .0344004
          7  |  -.0152062    .059228    -0.26   0.798    -.1317345    .1013221
          8  |  -.0588709    .059228    -0.99   0.321    -.1753992    .0576574
          9  |   .0394762   .0890805     0.44   0.658    -.1357854    .2147378
         10  |   -.107536   .0526553    -2.04   0.042    -.2111327   -.0039393
         11  |  -.1039143   .0406293    -2.56   0.011    -.1838504   -.0239782
         12  |   .0558186   .0656767     0.85   0.396    -.0733972    .1850345
             |
  year_group |
          5  |   .1135551   .1258472     0.90   0.368    -.1340431    .3611533
          6  |   .6956569   .4355305     1.60   0.111    -.1612284    1.552542
          7  |   .2308674   .1772103     1.30   0.194    -.1177855    .5795202
          8  |   .2904951   .1551752     1.87   0.062    -.0148046    .5957948
          9  |   .2487486   .1491348     1.67   0.096    -.0446668    .5421641
         10  |     .24396   .1524824     1.60   0.111    -.0560417    .5439617
         11  |   .0884812   .1539364     0.57   0.566    -.2143812    .3913436
         12  |   .1358453   .1544833     0.88   0.380    -.1680932    .4397837
         13  |   .0879021    .155565     0.57   0.572    -.2181644    .3939687
             |
       _cons |   .0966223   .1538821     0.63   0.531    -.2061334     .399378
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,232    .2721622    .4709119          0   3.936978
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 318)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9742
                                                    Adj R-squared     = 0.9645
                                                    Root MSE          = 0.0957

                        (Std. err. adjusted for 319 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0002734   .0203315     0.01   0.989    -.0397278    .0402746
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0509144   .0239117    -2.13   0.034    -.0979594   -.0038693
          4  |   .0158237    .016556     0.96   0.340    -.0167496    .0483969
          5  |  -.0037254   .0150334    -0.25   0.804    -.0333029    .0258521
          6  |  -.0168447   .0231841    -0.73   0.468    -.0624582    .0287689
          7  |  -.0597977   .0337237    -1.77   0.077    -.1261476    .0065521
          8  |  -.0508803   .0337237    -1.51   0.132    -.1172302    .0154695
          9  |   .0355229   .0153581     2.31   0.021     .0053065    .0657394
         10  |  -.0791245   .0702375    -1.13   0.261    -.2173134    .0590644
         11  |   .0100012   .0215989     0.46   0.644    -.0324937     .052496
         12  |   -.024203   .0165965    -1.46   0.146    -.0568558    .0084498
             |
  year_group |
          5  |  -.1122702   .0312509    -3.59   0.000    -.1737548   -.0507856
          6  |  -.0497648    .053412    -0.93   0.352    -.1548503    .0553207
          7  |   -.055409   .0476495    -1.16   0.246    -.1491571    .0383392
          8  |  -.0428392   .0481903    -0.89   0.375    -.1376514     .051973
          9  |  -.0281123    .046929    -0.60   0.550    -.1204429    .0642183
         10  |  -.0553174   .0476381    -1.16   0.246     -.149043    .0384083
         11  |  -.0520711   .0523442    -0.99   0.321    -.1550557    .0509136
         12  |  -.0320785   .0510913    -0.63   0.531    -.1325982    .0684412
         13  |  -.0548881   .0513306    -1.07   0.286    -.1558786    .0461025
             |
       _cons |   .3803584   .0500219     7.60   0.000     .2819428     .478774
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,232    .3175575    .4972498          0   2.866828
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 318)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9554
                                                    Adj R-squared     = 0.9386
                                                    Root MSE          = 0.1228

                        (Std. err. adjusted for 319 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0780394    .030597    -2.55   0.011    -.1382376   -.0178412
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0038643   .0706651     0.05   0.956    -.1351659    .1428944
          4  |  -.0067066   .0169608    -0.40   0.693    -.0400761    .0266629
          5  |  -.0183005   .0169253    -1.08   0.280    -.0516002    .0149993
          6  |  -.0391225   .0313808    -1.25   0.213    -.1008627    .0226176
          7  |  -.0371184   .0330599    -1.12   0.262    -.1021622    .0279254
          8  |  -.0371184   .0330599    -1.12   0.262    -.1021622    .0279254
          9  |  -.0073556   .0337297    -0.22   0.828    -.0737172    .0590059
         10  |  -.0180427   .0243327    -0.74   0.459    -.0659162    .0298307
         11  |  -.0273032     .03312    -0.82   0.410    -.0924653    .0378589
         12  |   .0355672    .050282     0.71   0.480    -.0633602    .1344946
             |
  year_group |
          5  |  -.2284417   .0555983    -4.11   0.000    -.3378288   -.1190547
          6  |  -.7592602   .1969758    -3.85   0.000    -1.146801   -.3717198
          7  |  -.8344157   .1730103    -4.82   0.000    -1.174805   -.4940263
          8  |  -.8171218   .1731909    -4.72   0.000    -1.157867    -.476377
          9  |  -.8291164   .1706943    -4.86   0.000    -1.164949   -.4932835
         10  |  -.8167104   .1672493    -4.88   0.000    -1.145765   -.4876555
         11  |  -.8052684   .1699845    -4.74   0.000    -1.139705   -.4708321
         12  |  -.8184401   .1697712    -4.82   0.000    -1.152457   -.4844235
         13  |   -.800327   .1710414    -4.68   0.000    -1.136843   -.4638113
             |
       _cons |   1.169167   .1685811     6.94   0.000     .8374922    1.500842
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,232    .3062623    .4911521          0    2.93427
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 318)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8150
                                                    Adj R-squared     = 0.7455
                                                    Root MSE          = 0.2581

                        (Std. err. adjusted for 319 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0361381    .038682    -0.93   0.351     -.112243    .0399668
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0683419   .0745482     0.92   0.360     -.078328    .2150118
          4  |  -.0038981   .0274215    -0.14   0.887    -.0578486    .0500525
          5  |   .0467521   .0295936     1.58   0.115    -.0114718    .1049761
          6  |  -.0547899   .0407227    -1.35   0.179    -.1349099    .0253301
          7  |   .0040158    .061629     0.07   0.948    -.1172363    .1252679
          8  |   .0012492    .061629     0.02   0.984    -.1200029    .1225013
          9  |   .1192297   .0669413     1.78   0.076    -.0124741    .2509335
         10  |  -.0660282   .0854831    -0.77   0.440    -.2342121    .1021556
         11  |   .0217762   .0461574     0.47   0.637    -.0690362    .1125886
         12  |   -.000435   .0506197    -0.01   0.993    -.1000267    .0991568
             |
  year_group |
          5  |  -.0569562   .0511429    -1.11   0.266    -.1575773    .0436649
          6  |  -.0293321   .2125832    -0.14   0.890    -.4475795    .3889152
          7  |  -.2863056   .1639096    -1.75   0.082      -.60879    .0361787
          8  |  -.2737642   .1414003    -1.94   0.054    -.5519626    .0044341
          9  |  -.3203105    .133152    -2.41   0.017    -.5822807   -.0583403
         10  |  -.2664544   .1324477    -2.01   0.045    -.5270388     -.00587
         11  |  -.2810215   .1355831    -2.07   0.039    -.5477747   -.0142682
         12  |  -.2564016   .1363674    -1.88   0.061    -.5246979    .0118948
         13  |  -.2281224   .1360495    -1.68   0.095    -.4957931    .0395484
             |
       _cons |   .6099537    .134602     4.53   0.000     .3451307    .8747768
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,232    .3323952    .5087748          0   3.031519

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    323
                                                    F(17, 332)        =   9.96
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7851
                                                    Adj R-squared     = 0.7048
                                                    Root MSE          = 0.2285

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0948435   .0471956    -2.01   0.045    -.1876837   -.0020032
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0242421   .1153286    -0.21   0.834    -.2511089    .2026248
          4  |    .122183     .07183     1.70   0.090    -.0191164    .2634823
          5  |     .08066   .0754556     1.07   0.286    -.0677715    .2290914
          6  |   .0714063    .094472     0.76   0.450    -.1144329    .2572455
          7  |   .1954972   .1094669     1.79   0.075    -.0198389    .4108334
          8  |          0  (empty)
          9  |  -.0025173    .080402    -0.03   0.975     -.160679    .1556443
         10  |          0  (empty)
         11  |    .206622   .0847696     2.44   0.015     .0398686    .3733753
         12  |   -.018902   .0687091    -0.28   0.783     -.154062     .116258
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0619859   .0056172   -11.04   0.000    -.0730356   -.0509361
          7  |   .1030765   .1555548     0.66   0.508    -.2029207    .4090737
          8  |   .0439524   .0957405     0.46   0.646    -.1443821    .2322869
          9  |   .0552949   .0942736     0.59   0.558    -.1301541    .2407439
         10  |    .130923   .0978865     1.34   0.182     -.061633     .323479
         11  |   .2024363   .1064061     1.90   0.058    -.0068789    .4117514
         12  |   .2371476   .1045146     2.27   0.024     .0315534    .4427419
         13  |   .1924633   .1089026     1.77   0.078    -.0217629    .4066895
             |
       _cons |   .0407369   .1139003     0.36   0.721    -.1833204    .2647941
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,248    .2360213    .4274881          0   3.069216
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    323
                                                    F(17, 332)        =  12.90
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7928
                                                    Adj R-squared     = 0.7155
                                                    Root MSE          = 0.2542

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0142697   .0643991    -0.22   0.825    -.1409515    .1124121
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.032145   .0839234    -0.38   0.702    -.1972337    .1329438
          4  |   .0770454   .0386718     1.99   0.047     .0009726    .1531181
          5  |   .0429927   .0459944     0.93   0.351    -.0474846      .13347
          6  |   .0244758   .0643117     0.38   0.704     -.102034    .1509855
          7  |   .0869856   .0675547     1.29   0.199    -.0459035    .2198747
          8  |          0  (empty)
          9  |   .0673018   .0439168     1.53   0.126    -.0190885    .1536921
         10  |          0  (empty)
         11  |   .0493263   .0519229     0.95   0.343     -.052813    .1514656
         12  |   .0238064   .0622425     0.38   0.702    -.0986329    .1462457
             |
  year_group |
          5  |          0  (empty)
          6  |  -1.41e-15   4.87e-08    -0.00   1.000    -9.57e-08    9.57e-08
          7  |  -.4576661   .0450001   -10.17   0.000    -.5461874   -.3691449
          8  |  -.4267584   .0352546   -12.11   0.000    -.4961091   -.3574078
          9  |  -.4276789   .0322824   -13.25   0.000    -.4911827    -.364175
         10  |  -.3111275   .0371803    -8.37   0.000    -.3842662   -.2379888
         11  |   -.279217   .0578003    -4.83   0.000    -.3929181    -.165516
         12  |  -.3270075   .0503101    -6.50   0.000    -.4259743   -.2280407
         13  |  -.1621506   .1109502    -1.46   0.145    -.3804046    .0561034
             |
       _cons |   .5460068   .0675862     8.08   0.000     .4130556    .6789581
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,248    .2656561    .4750441          0   3.399997
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    323
                                                    F(17, 332)        =   3.96
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8154
                                                    Adj R-squared     = 0.7465
                                                    Root MSE          = 0.1746

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0261242   .0324937    -0.80   0.422    -.0900437    .0377953
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1388604   .0776741    -1.79   0.075    -.2916559    .0139351
          4  |   .0041428   .0184956     0.22   0.823    -.0322407    .0405262
          5  |  -.0258998    .023449    -1.10   0.270    -.0720273    .0202276
          6  |  -.0326163   .0525579    -0.62   0.535    -.1360048    .0707721
          7  |  -.0612098   .0390691    -1.57   0.118     -.138064    .0156444
          8  |          0  (empty)
          9  |  -.0184787   .0357933    -0.52   0.606    -.0888889    .0519316
         10  |          0  (empty)
         11  |  -.0169487   .0340644    -0.50   0.619     -.083958    .0500607
         12  |  -.1194963   .0870778    -1.37   0.171    -.2907901    .0517975
             |
  year_group |
          5  |          0  (empty)
          6  |    -.40713   .1055068    -3.86   0.000    -.6146762   -.1995838
          7  |  -.1352865   .1221339    -1.11   0.269    -.3755404    .1049674
          8  |  -.0888787   .1212958    -0.73   0.464    -.3274838    .1497264
          9  |  -.1598027   .1194276    -1.34   0.182    -.3947329    .0751274
         10  |  -.1507514   .1197889    -1.26   0.209    -.3863924    .0848895
         11  |  -.1551532   .1205809    -1.29   0.199    -.3923521    .0820457
         12  |  -.1119326   .1235509    -0.91   0.366    -.3549738    .1311087
         13  |  -.1249646   .1220765    -1.02   0.307    -.3651057    .1151764
             |
       _cons |    .399042   .1216874     3.28   0.001     .1596664    .6384176
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,248    .2341339    .3669538          0   2.720356
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    323
                                                    F(17, 332)        =   3.41
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5945
                                                    Adj R-squared     = 0.4431
                                                    Root MSE          = 0.1911

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0269183   .0492508    -0.55   0.585    -.1238012    .0699647
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3216653   .3135442     1.03   0.306    -.2951185    .9384491
          4  |   .0891044   .0358719     2.48   0.013     .0185396    .1596693
          5  |    .074035   .0391836     1.89   0.060    -.0030444    .1511143
          6  |   .0688753   .0490839     1.40   0.161    -.0276793      .16543
          7  |  -.0447974    .063305    -0.71   0.480    -.1693269     .079732
          8  |          0  (empty)
          9  |   .0094374   .0493285     0.19   0.848    -.0875985    .1064733
         10  |          0  (empty)
         11  |   .1095874    .041722     2.63   0.009     .0275145    .1916603
         12  |  -.0513639   .0790809    -0.65   0.516    -.2069266    .1041989
             |
  year_group |
          5  |          0  (empty)
          6  |   .5020642   .1061954     4.73   0.000     .2931635    .7109649
          7  |   .1480086   .2080621     0.71   0.477    -.2612776    .5572949
          8  |   .1600738   .2058651     0.78   0.437    -.2448906    .5650383
          9  |   .1152231   .2079917     0.55   0.580    -.2939247    .5243709
         10  |   .0805516   .2071352     0.39   0.698    -.3269114    .4880146
         11  |   .1055901   .2084305     0.51   0.613    -.3044208    .5156011
         12  |    .093367   .2084401     0.45   0.654    -.3166629    .5033968
         13  |   .0653078   .2089955     0.31   0.755    -.3458145    .4764302
             |
       _cons |  -.0233694   .2089748    -0.11   0.911     -.434451    .3877122
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,248     .123139    .2658175          0   2.894575
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    323
                                                    F(17, 332)        = 150.96
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8069
                                                    Adj R-squared     = 0.7349
                                                    Root MSE          = 0.2448

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0390842    .043484     0.90   0.369    -.0464546     .124623
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1540016   .0989976     1.56   0.121      -.04074    .3487432
          4  |  -.0087349   .0300032    -0.29   0.771    -.0677552    .0502854
          5  |   .0683849   .0336887     2.03   0.043     .0021147    .1346551
          6  |  -.0791975   .0474578    -1.67   0.096    -.1725533    .0141584
          7  |   .0133619      .0577     0.23   0.817    -.1001417    .1268656
          8  |          0  (empty)
          9  |   .0007738   .0580626     0.01   0.989    -.1134431    .1149908
         10  |          0  (empty)
         11  |  -.0827543   .0460294    -1.80   0.073    -.1733004    .0077918
         12  |   .1209665   .0721254     1.68   0.094     -.020914     .262847
             |
  year_group |
          5  |          0  (empty)
          6  |   .1097191   .0960908     1.14   0.254    -.0793045    .2987427
          7  |   .1674635   .1649653     1.02   0.311    -.1570456    .4919725
          8  |   .1888321   .1463536     1.29   0.198    -.0990653    .4767295
          9  |   .2179523   .1412099     1.54   0.124    -.0598267    .4957313
         10  |    .167616   .1434345     1.17   0.243     -.114539     .449771
         11  |   .0465997   .1447579     0.32   0.748    -.2381586    .3313581
         12  |   .0479188   .1458284     0.33   0.743    -.2389454     .334783
         13  |   .1273855   .1468319     0.87   0.386    -.1614526    .4162236
             |
       _cons |   .1102002   .1426923     0.77   0.440    -.1704949    .3908952
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,248    .2843061     .498317          0   2.697989
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    323
                                                    F(17, 332)        =   5.29
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9749
                                                    Adj R-squared     = 0.9656
                                                    Root MSE          = 0.0929

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0144531     .01701    -0.85   0.396     -.047914    .0190078
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0125182   .0196531     0.64   0.525    -.0261421    .0511786
          4  |   .0157812   .0154155     1.02   0.307    -.0145432    .0461056
          5  |  -.0028244   .0109005    -0.26   0.796    -.0242672    .0186184
          6  |   .0251624   .0319636     0.79   0.432    -.0377144    .0880392
          7  |  -.0265412    .025831    -1.03   0.305    -.0773541    .0242718
          8  |          0  (empty)
          9  |   .0421642   .0218539     1.93   0.055    -.0008253    .0851537
         10  |          0  (empty)
         11  |   .0064977   .0145172     0.45   0.655    -.0220595    .0350549
         12  |   .0006715   .0157188     0.04   0.966    -.0302495    .0315925
             |
  year_group |
          5  |          0  (empty)
          6  |   .1129064   .0247186     4.57   0.000     .0642816    .1615311
          7  |  -.0397754   .0481467    -0.83   0.409    -.1344865    .0549357
          8  |  -.0646304   .0419523    -1.54   0.124    -.1471563    .0178956
          9  |  -.0667174   .0405294    -1.65   0.101    -.1464441    .0130093
         10  |  -.0719693   .0409557    -1.76   0.080    -.1525347    .0085961
         11  |   -.063278   .0449158    -1.41   0.160    -.1516334    .0250774
         12  |  -.0546779   .0455391    -1.20   0.231    -.1442595    .0349037
         13  |   -.057268   .0503332    -1.14   0.256    -.1562803    .0417442
             |
       _cons |   .3802263   .0444722     8.55   0.000     .2927434    .4677092
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,248    .3223396    .5043631          0   3.115043
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    323
                                                    F(17, 332)        =  28.67
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9415
                                                    Adj R-squared     = 0.9196
                                                    Root MSE          = 0.1376

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.061601   .0308667    -2.00   0.047    -.1223199    -.000882
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2760606   .0833552     3.31   0.001     .1120898    .4400315
          4  |   .0098861   .0218272     0.45   0.651    -.0330511    .0528232
          5  |   .0034972   .0237274     0.15   0.883    -.0431779    .0501723
          6  |  -.0199338   .0307762    -0.65   0.518    -.0804747    .0406072
          7  |  -.0118689    .035252    -0.34   0.737    -.0812143    .0574766
          8  |          0  (empty)
          9  |  -.0041144   .0302662    -0.14   0.892     -.063652    .0554233
         10  |          0  (empty)
         11  |  -.0289192   .0362725    -0.80   0.426    -.1002721    .0424338
         12  |   .0908061    .060054     1.51   0.131    -.0273283    .2089404
             |
  year_group |
          5  |          0  (empty)
          6  |   -.491833   .0229883   -21.39   0.000     -.537054   -.4466119
          7  |  -.7282039   .1411667    -5.16   0.000    -1.005898     -.45051
          8  |  -.6919665    .133295    -5.19   0.000    -.9541758   -.4297573
          9  |   -.702924   .1311808    -5.36   0.000    -.9609744   -.4448736
         10  |  -.6744561   .1292798    -5.22   0.000     -.928767   -.4201452
         11  |  -.6417049   .1311976    -4.89   0.000    -.8997884   -.3836214
         12  |  -.6516611   .1319732    -4.94   0.000    -.9112701    -.392052
         13  |  -.6572808   .1340202    -4.90   0.000    -.9209166    -.393645
             |
       _cons |   .9792601   .1309346     7.48   0.000     .7216941    1.236826
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,248    .3069991    .4892299          0   3.139259
(742 missing values generated)
(742 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,248
Absorbed variable: factor_pair                      No. of categories =    323
                                                    F(17, 332)        =   2.78
                                                    Prob > F          = 0.0002
                                                    R-squared         = 0.7906
                                                    Adj R-squared     = 0.7124
                                                    Root MSE          = 0.2692

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0410835   .0570282    -0.72   0.472    -.1532657    .0710988
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3256944   .2513898     1.30   0.196    -.1688232     .820212
          4  |       .043   .0343758     1.25   0.212    -.0246219     .110622
          5  |   .0210315   .0364681     0.58   0.565    -.0507062    .0927691
          6  |   .0118756   .0645603     0.18   0.854    -.1151234    .1388745
          7  |  -.0277205   .0671377    -0.41   0.680    -.1597894    .1043483
          8  |          0  (empty)
          9  |    .045521   .0500872     0.91   0.364    -.0530073    .1440493
         10  |          0  (empty)
         11  |  -.0383791   .0564206    -0.68   0.497     -.149366    .0726078
         12  |   .1609346    .074851     2.15   0.032     .0136925    .3081767
             |
  year_group |
          5  |          0  (empty)
          6  |   .0351829   .0432207     0.81   0.416    -.0498381    .1202038
          7  |  -.2088393   .1247452    -1.67   0.095    -.4542299    .0365514
          8  |  -.2370459   .0926588    -2.56   0.011    -.4193182   -.0547735
          9  |  -.2613971   .0808296    -3.23   0.001    -.4203998   -.1023943
         10  |  -.2662296   .0840709    -3.17   0.002    -.4316085   -.1008508
         11  |  -.2461581   .0897981    -2.74   0.006    -.4228031    -.069513
         12  |  -.2496857   .0914101    -2.73   0.007    -.4295016   -.0698697
         13  |   -.247322   .0971854    -2.54   0.011    -.4384988   -.0561451
             |
       _cons |   .5556763   .0973852     5.71   0.000     .3641064    .7472461
------------------------------------------------------------------------------
(742 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,248         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,248    .3402642     .508943          0    2.94288

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(18, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7727
                                                    Adj R-squared     = 0.6937
                                                    Root MSE          = 0.2394

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0274483    .059944    -0.46   0.647    -.1453896     .090493
             |
 scale_group |
          2  |   .2162088   .1362645     1.59   0.114    -.0518948    .4843124
          3  |          0  (omitted)
          4  |   .1046558   .0667697     1.57   0.118     -.026715    .2360267
          5  |  -.0029308   .0320887    -0.09   0.927    -.0660661    .0602045
          6  |   .0695378   .0843899     0.82   0.411    -.0965014    .2355769
          7  |   .1641833   .0751791     2.18   0.030     .0162667       .3121
          8  |   .1715482   .0751791     2.28   0.023     .0236315    .3194649
          9  |  -.0032467   .0607192    -0.05   0.957    -.1227131    .1162197
         10  |   .0878618   .0981415     0.90   0.371    -.1052338    .2809575
         11  |   .1849284   .0789289     2.34   0.020     .0296338    .3402229
         12  |   .1936035   .1303018     1.49   0.138    -.0627685    .4499754
             |
  year_group |
          5  |   .0340658          .        .       .            .           .
          6  |  -.0745857   .0998247    -0.75   0.456     -.270993    .1218217
          7  |   .1477238   .0958969     1.54   0.124    -.0409555    .3364032
          8  |   .1289328   .0652109     1.98   0.049     .0006288    .2572367
          9  |   .2262212   .0800064     2.83   0.005     .0688067    .3836358
         10  |   .2392749   .0656836     3.64   0.000     .1100409    .3685089
         11  |    .324427   .0807492     4.02   0.000     .1655511     .483303
         12  |   .3356186   .0770933     4.35   0.000     .1839357    .4873015
         13  |   .2920717   .0855741     3.41   0.001     .1237026    .4604408
             |
       _cons |  -.1144073   .0893328    -1.28   0.201    -.2901717    .0613571
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,284    .2311664    .4222268          0    3.17675
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(18, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8540
                                                    Adj R-squared     = 0.8033
                                                    Root MSE          = 0.2017

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0863996   .0516787    -1.67   0.096    -.1880787    .0152794
             |
 scale_group |
          2  |   .1910547   .0838705     2.28   0.023     .0260375    .3560719
          3  |          0  (omitted)
          4  |   .0455191   .0358119     1.27   0.205    -.0249417      .11598
          5  |   .0032584   .0328942     0.10   0.921    -.0614618    .0679785
          6  |   .0078255   .0544573     0.14   0.886    -.0993206    .1149716
          7  |  -.0017516   .0508534    -0.03   0.973    -.1018068    .0983036
          8  |  -.0017516   .0508534    -0.03   0.973    -.1018068    .0983036
          9  |   .0039556   .0372698     0.11   0.916    -.0693738    .0772849
         10  |  -.0025967   .0533353    -0.05   0.961    -.1075351    .1023416
         11  |   .0352679   .0508273     0.69   0.488     -.064736    .1352719
         12  |   .1937549   .0781117     2.48   0.014     .0400684    .3474415
             |
  year_group |
          5  |  -.3564568          .        .       .            .           .
          6  |  -.2613996   .1460836    -1.79   0.075    -.5488226    .0260234
          7  |  -.2498717   .1250546    -2.00   0.047    -.4959194   -.0038239
          8  |  -.1863361   .1211808    -1.54   0.125    -.4247623    .0520901
          9  |  -.1953518   .1217568    -1.60   0.110    -.4349112    .0442076
         10  |  -.0869494   .1197688    -0.73   0.468    -.3225974    .1486985
         11  |   -.058854   .1289335    -0.46   0.648    -.3125336    .1948256
         12  |  -.0880199   .1260895    -0.70   0.486     -.336104    .1600642
         13  |  -.0885967   .1337532    -0.66   0.508    -.3517593    .1745659
             |
       _cons |   .3545924   .1290864     2.75   0.006     .1006119    .6085729
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,284    .2521484    .4469292          0   3.111766
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7845
                                                    Adj R-squared     = 0.7096
                                                    Root MSE          = 0.2193

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0455667   .0525359     0.87   0.386    -.0577989    .1489324
             |
 scale_group |
          2  |  -.1361335   .0716815    -1.90   0.058    -.2771686    .0049016
          3  |          0  (omitted)
          4  |   .2197536    .055918     3.93   0.000     .1097336    .3297736
          5  |    .158822   .0455737     3.48   0.001     .0691547    .2484894
          6  |   .1381579   .0751597     1.84   0.067    -.0097207    .2860364
          7  |   .1047808    .066544     1.57   0.116    -.0261462    .2357077
          8  |   .1047808    .066544     1.57   0.116    -.0261462    .2357077
          9  |   .1941366   .0684099     2.84   0.005     .0595384    .3287348
         10  |   .3943205   .1045211     3.77   0.000     .1886728    .5999682
         11  |   .1862105   .0717725     2.59   0.010     .0449964    .3274247
         12  |  -.0850046   .0582005    -1.46   0.145    -.1995156    .0295063
             |
  year_group |
          5  |   .0184946   1.20e-07  1.5e+05   0.000     .0184944    .0184949
          6  |  -.1706892   .0888862    -1.92   0.056    -.3455749    .0041965
          7  |  -.2388905   .0962043    -2.48   0.014    -.4281747   -.0496062
          8  |  -.2525959   .0765378    -3.30   0.001    -.4031858   -.1020059
          9  |  -.3349184   .0787164    -4.25   0.000    -.4897947   -.1800421
         10  |   -.312148    .073655    -4.24   0.000    -.4570659   -.1672301
         11  |  -.3425125   .0773632    -4.43   0.000    -.4947264   -.1902986
         12  |  -.2906163     .08281    -3.51   0.001    -.4535471   -.1276856
         13  |  -.3018854   .0804956    -3.75   0.000    -.4602624   -.1435084
             |
       _cons |   .4306427   .0862243     4.99   0.000     .2609944    .6002909
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,284    .2620309    .4085766          0   2.698647
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(18, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6460
                                                    Adj R-squared     = 0.5229
                                                    Root MSE          = 0.2219

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0391102   .0345096     1.13   0.258    -.0287882    .1070086
             |
 scale_group |
          2  |   .0611385   .0772999     0.79   0.430    -.0909509    .2132279
          3  |          0  (omitted)
          4  |   .1946172   .0359064     5.42   0.000     .1239705    .2652639
          5  |   .1569529   .0240773     6.52   0.000     .1095802    .2043255
          6  |   .1760263   .0434246     4.05   0.000     .0905873    .2614653
          7  |  -.0175675    .077921    -0.23   0.822    -.1708788    .1357438
          8  |  -.0175675    .077921    -0.23   0.822    -.1708788    .1357438
          9  |   .0696754   .0445294     1.56   0.119    -.0179373     .157288
         10  |   .0339074   .0728076     0.47   0.642    -.1093433     .177158
         11  |   .1800925   .0388188     4.64   0.000     .1037155    .2564694
         12  |   .0674438   .0693472     0.97   0.332    -.0689984    .2038859
             |
  year_group |
          5  |  -.1355373          .        .       .            .           .
          6  |   -.046945   .2187466    -0.21   0.830     -.477334     .383444
          7  |  -.1872531   .1996769    -0.94   0.349    -.5801221     .205616
          8  |  -.2855835   .1788086    -1.60   0.111    -.6373936    .0662267
          9  |  -.3029055   .1845484    -1.64   0.102    -.6660088    .0601979
         10  |  -.2587779   .1840608    -1.41   0.161    -.6209219     .103366
         11  |  -.2708196   .1852389    -1.46   0.145    -.6352814    .0936423
         12  |  -.3094344   .1848062    -1.67   0.095     -.673045    .0541762
         13  |  -.2965079   .1861858    -1.59   0.112    -.6628328    .0698171
             |
       _cons |   .2665243   .1844352     1.45   0.149    -.0963562    .6294048
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,284    .1465125    .3225389          0   2.596348
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7902
                                                    Adj R-squared     = 0.7172
                                                    Root MSE          = 0.2673

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0712713   .0574636     1.24   0.216    -.0417896    .1843322
             |
 scale_group |
          2  |  -.0949436   .0823482    -1.15   0.250    -.2569656    .0670784
          3  |          0  (omitted)
          4  |   -.000242   .0555269    -0.00   0.997    -.1094925    .1090085
          5  |   .0502838   .0332393     1.51   0.131    -.0151154     .115683
          6  |  -.0375996   .0805744    -0.47   0.641    -.1961316    .1209323
          7  |   .0491442    .072985     0.67   0.501    -.0944555    .1927439
          8  |   .0646869    .072985     0.89   0.376    -.0789128    .2082867
          9  |   .0829339   .0849354     0.98   0.330    -.0841785    .2500463
         10  |  -.0147803   .0831104    -0.18   0.859    -.1783019    .1487413
         11  |  -.0502533   .0642872    -0.78   0.435    -.1767399    .0762334
         12  |  -.0225048   .0543784    -0.41   0.679    -.1294956     .084486
             |
  year_group |
          5  |   .1810837   1.31e-07  1.4e+06   0.000     .1810834    .1810839
          6  |   .6382927    .214882     2.97   0.003     .2155073    1.061078
          7  |    .163793   .1563834     1.05   0.296     -.143895     .471481
          8  |   .2049097   .1352727     1.51   0.131    -.0612426     .471062
          9  |   .1166301   .1372785     0.85   0.396    -.1534685    .3867287
         10  |   .1090023    .131269     0.83   0.407    -.1492725     .367277
         11  |  -.0574179   .1380382    -0.42   0.678    -.3290114    .2141756
         12  |  -.0308386   .1387074    -0.22   0.824    -.3037486    .2420715
         13  |  -.0341828   .1415677    -0.24   0.809    -.3127206     .244355
             |
       _cons |   .2072834   .1343697     1.54   0.124    -.0570921    .4716589
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,284    .2825741    .4969102          0   4.160952
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9717
                                                    Adj R-squared     = 0.9619
                                                    Root MSE          = 0.0999

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0122955   .0237912     0.52   0.606    -.0345144    .0591053
             |
 scale_group |
          2  |   .0162958   .0202827     0.80   0.422    -.0236108    .0562025
          3  |          0  (omitted)
          4  |    .000754   .0227262     0.03   0.974    -.0439602    .0454683
          5  |  -.0142869   .0136605    -1.05   0.296    -.0411641    .0125904
          6  |   .0394251   .0545018     0.72   0.470    -.0678084    .1466587
          7  |  -.0577427   .0369115    -1.56   0.119     -.130367    .0148816
          8  |  -.0516994   .0369115    -1.40   0.162    -.1243237     .020925
          9  |   .0124201   .0225051     0.55   0.581    -.0318592    .0566994
         10  |  -.1412292   .0774481    -1.82   0.069    -.2936101    .0111518
         11  |   .0422867   .0315563     1.34   0.181     -.019801    .1043744
         12  |   .0036827   .0117627     0.31   0.754    -.0194607     .026826
             |
  year_group |
          5  |  -.0718047   4.57e-08 -1.6e+06   0.000    -.0718048   -.0718046
          6  |     .08193   .0619954     1.32   0.187    -.0400473    .2039074
          7  |   .0914423   .0569182     1.61   0.109    -.0205457    .2034303
          8  |   .0912203   .0522193     1.75   0.082    -.0115225    .1939631
          9  |    .111166   .0558678     1.99   0.047     .0012447    .2210873
         10  |   .0626722   .0536203     1.17   0.243     -.042827    .1681714
         11  |   .0907474   .0581727     1.56   0.120    -.0237088    .2052035
         12  |   .0907133   .0565967     1.60   0.110    -.0206421    .2020687
         13  |   .1022691   .0596765     1.71   0.088    -.0151459    .2196841
             |
       _cons |    .240793   .0582181     4.14   0.000     .1262476    .3553384
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,284    .3145077    .4972797          0   3.150278
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9452
                                                    Adj R-squared     = 0.9262
                                                    Root MSE          = 0.1382

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0584262   .0329205    -1.77   0.077    -.1231981    .0063457
             |
 scale_group |
          2  |  -.2549886   .1043636    -2.44   0.015    -.4603264   -.0496508
          3  |          0  (omitted)
          4  |  -.0139031   .0260076    -0.53   0.593    -.0650737    .0372675
          5  |  -.0212931   .0163876    -1.30   0.195    -.0535361    .0109499
          6  |  -.0381998   .0436095    -0.88   0.382    -.1240026     .047603
          7  |  -.0177902   .0330701    -0.54   0.591    -.0828563     .047276
          8  |  -.0177902   .0330701    -0.54   0.591    -.0828563     .047276
          9  |  -.0249716   .0401343    -0.62   0.534    -.1039367    .0539935
         10  |  -.0452653   .0436229    -1.04   0.300    -.1310944    .0405639
         11  |  -.0241821   .0502321    -0.48   0.631    -.1230149    .0746507
         12  |  -.1653848   .0908911    -1.82   0.070    -.3442151    .0134456
             |
  year_group |
          5  |  -.1563478   1.48e-08 -1.1e+07   0.000    -.1563478   -.1563477
          6  |  -.4930905   .0914279    -5.39   0.000     -.672977    -.313204
          7  |  -.5737941   .0991951    -5.78   0.000    -.7689628   -.3786254
          8  |  -.5505743    .086852    -6.34   0.000    -.7214577   -.3796909
          9  |     -.5455   .0843789    -6.46   0.000    -.7115174   -.3794826
         10  |   -.549678   .0835012    -6.58   0.000    -.7139686   -.3853874
         11  |  -.5061314   .0844274    -5.99   0.000    -.6722443   -.3400185
         12  |  -.5262054   .0848765    -6.20   0.000     -.693202   -.3592089
         13  |  -.5113643   .0875885    -5.84   0.000    -.6836967   -.3390319
             |
       _cons |   .9480509   .0931411    10.18   0.000     .7647937    1.131308
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,284    .3113778    .5034012          0   3.244585
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(18, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8355
                                                    Adj R-squared     = 0.7783
                                                    Root MSE          = 0.2472

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0506952   .0402116     1.26   0.208     -.028422    .1298125
             |
 scale_group |
          2  |  -.1251317   .0804085    -1.56   0.121    -.2833373    .0330739
          3  |          0  (omitted)
          4  |   -.016605   .0438061    -0.38   0.705    -.1027946    .0695845
          5  |  -.0010216   .0252916    -0.04   0.968    -.0507835    .0487402
          6  |  -.0205488   .0607703    -0.34   0.735    -.1401159    .0990183
          7  |     -.0707   .0573616    -1.23   0.219    -.1835603    .0421603
          8  |  -.0755758   .0573616    -1.32   0.189    -.1884361    .0372844
          9  |     .03279   .0580631     0.56   0.573    -.0814506    .1470306
         10  |   -.201906   .0881805    -2.29   0.023    -.3754032   -.0284088
         11  |   .0246539   .0620165     0.40   0.691    -.0973651    .1466728
         12  |   .0843759   .0676086     1.25   0.213    -.0486456    .2173974
             |
  year_group |
          5  |   .0342286          .        .       .            .           .
          6  |   .3244853   .1217215     2.67   0.008     .0849953    .5639752
          7  |   .0524976   .1308125     0.40   0.688     -.204879    .3098742
          8  |  -.0160202   .0999958    -0.16   0.873    -.2127643    .1807238
          9  |  -.0247262   .0974756    -0.25   0.800    -.2165117    .1670593
         10  |  -.0264365   .0933271    -0.28   0.777    -.2100599    .1571868
         11  |  -.0526458   .0978521    -0.54   0.591    -.2451721    .1398806
         12  |  -.0326937   .0982174    -0.33   0.739    -.2259388    .1605515
         13  |   .0189734   .1017907     0.19   0.852    -.1813021    .2192489
             |
       _cons |   .3504549   .0995566     3.52   0.000     .1545749    .5463349
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,284    .3415789    .5122282          0   2.901146

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 331)        =   8.37
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7473
                                                    Adj R-squared     = 0.6610
                                                    Root MSE          = 0.2502

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0162642   .0483377    -0.34   0.737    -.1113521    .0788236
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0961823   .0323791    -2.97   0.003     -.159877   -.0324876
          4  |   .0897206   .0396393     2.26   0.024     .0117439    .1676974
          5  |  -.0067107   .0549397    -0.12   0.903    -.1147858    .1013643
          6  |   .0389615   .0731986     0.53   0.595    -.1050316    .1829546
          7  |          0  (empty)
          8  |   .1600048   .0699545     2.29   0.023     .0223933    .2976163
          9  |  -.0540735   .0706749    -0.77   0.445    -.1931021    .0849551
         10  |          0  (empty)
         11  |   .1308939   .0495859     2.64   0.009     .0333507    .2284372
         12  |  -.0241718   .0294315    -0.82   0.412    -.0820683    .0337246
             |
  year_group |
          5  |   .0724763   .0083142     8.72   0.000     .0561209    .0888316
          6  |  -.1614971   .1669581    -0.97   0.334    -.4899299    .1669356
          7  |  -.0154925    .130211    -0.12   0.905    -.2716379    .2406529
          8  |  -.0626582   .0964111    -0.65   0.516     -.252314    .1269976
          9  |  -.0335751   .0891863    -0.38   0.707    -.2090186    .1418684
         10  |  -.0175557   .1086506    -0.16   0.872    -.2312884     .196177
         11  |   .0779405    .118044     0.66   0.510    -.1542705    .3101515
         12  |   .0861032   .1149514     0.75   0.454    -.1400242    .3122306
         13  |   .0485805   .1172588     0.41   0.679     -.182086    .2792469
             |
       _cons |   .1856879   .1069887     1.74   0.084    -.0247756    .3961514
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,282    .2314623    .4217386          0   3.490387
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,282
Absorbed variable: factor_pair                    No. of categories =      309
                                                  F(18, 331)        = 3.49e+13
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8213
                                                  Adj R-squared     =   0.7603
                                                  Root MSE          =   0.2135

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0339497   .0462575    -0.73   0.464    -.1249454    .0570461
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0657328   .0460591    -1.43   0.154    -.1563383    .0248727
          4  |   .0742022   .0382223     1.94   0.053     -.000987    .1493914
          5  |   .0403981   .0472251     0.86   0.393     -.052501    .1332972
          6  |   .0060877   .0635458     0.10   0.924    -.1189168    .1310922
          7  |          0  (empty)
          8  |   .0467117   .0624427     0.75   0.455    -.0761228    .1695462
          9  |   .0464275   .0439641     1.06   0.292    -.0400567    .1329117
         10  |          0  (empty)
         11  |   .0748542   .0463708     1.61   0.107    -.0163645    .1660729
         12  |  -.0156194   .0311262    -0.50   0.616    -.0768495    .0456108
             |
  year_group |
          5  |  -.3883558   1.55e-08 -2.5e+07   0.000    -.3883559   -.3883558
          6  |  -.4897875   .0545721    -8.98   0.000    -.5971393   -.3824356
          7  |   -.483008   .0400189   -12.07   0.000    -.5617315   -.4042845
          8  |  -.4002508   .0217312   -18.42   0.000    -.4429995   -.3575021
          9  |  -.3824083   .0121982   -31.35   0.000    -.4064041   -.3584126
         10  |  -.3104473   .0277546   -11.19   0.000    -.3650449   -.2558497
         11  |  -.2571759   .0502512    -5.12   0.000    -.3560279   -.1583239
         12  |  -.3248447   .0411364    -7.90   0.000    -.4057663    -.243923
         13  |  -.2577889   .0636311    -4.05   0.000    -.3829612   -.1326166
             |
       _cons |   .5437259   .0540109    10.07   0.000     .4374779    .6499738
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,282    .2375417     .429609          0   3.245771
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 331)        =   3.33
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7680
                                                    Adj R-squared     = 0.6888
                                                    Root MSE          = 0.2117

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0264637   .0424277     0.62   0.533    -.0569984    .1099257
             |
 scale_group |
          2  |  -.0392462   .0619837    -0.63   0.527    -.1611778    .0826853
          3  |          0  (omitted)
          4  |    .000613   .0246486     0.02   0.980    -.0478747    .0491007
          5  |  -.0236644   .0368384    -0.64   0.521    -.0961313    .0488025
          6  |  -.0374179   .0570209    -0.66   0.512    -.1495869     .074751
          7  |          0  (empty)
          8  |  -.0361529   .0411535    -0.88   0.380    -.1171083    .0448024
          9  |  -.0320849   .0485578    -0.66   0.509    -.1276057     .063436
         10  |          0  (empty)
         11  |  -.0065349   .0390896    -0.17   0.867    -.0834302    .0703605
         12  |  -.0673016   .0559089    -1.20   0.230    -.1772831    .0426798
             |
  year_group |
          5  |   .2625132   .1078989     2.43   0.016     .0502591    .4747673
          6  |  -.0677705   .1508371    -0.45   0.654    -.3644908    .2289498
          7  |  -.0934962   .1482549    -0.63   0.529    -.3851369    .1981445
          8  |  -.0766906   .1342113    -0.57   0.568    -.3407052    .1873241
          9  |  -.1510017   .1285983    -1.17   0.241    -.4039747    .1019713
         10  |  -.1509896    .132279    -1.14   0.255    -.4112031    .1092238
         11  |  -.1297244    .132823    -0.98   0.329    -.3910082    .1315593
         12  |  -.1026763   .1343822    -0.76   0.445    -.3670271    .1616746
         13  |   -.103687   .1335907    -0.78   0.438    -.3664808    .1591069
             |
       _cons |    .375438   .1323494     2.84   0.005     .1150859    .6357902
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,282    .2506531    .3848867          0    2.69189
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 331)        =   2.52
                                                    Prob > F          = 0.0007
                                                    R-squared         = 0.5736
                                                    Adj R-squared     = 0.4280
                                                    Root MSE          = 0.1980

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    -.04516   .0311282    -1.45   0.148    -.1063941    .0160742
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0671329   .1270419     0.53   0.598    -.1827784    .3170442
          4  |   .0953193   .0572509     1.66   0.097    -.0173021    .2079407
          5  |   .0354576   .0613607     0.58   0.564    -.0852486    .1561637
          6  |   .0808014   .0692902     1.17   0.244    -.0555033    .2171061
          7  |          0  (empty)
          8  |  -.0147608   .0668141    -0.22   0.825    -.1461946     .116673
          9  |   .0067664   .0639102     0.11   0.916    -.1189551    .1324879
         10  |          0  (empty)
         11  |   .1381562   .0763587     1.81   0.071    -.0120533    .2883657
         12  |  -.0111516   .0348782    -0.32   0.749    -.0797625    .0574594
             |
  year_group |
          5  |   .1166514   .0852926     1.37   0.172    -.0511326    .2844354
          6  |    .318914   .1822613     1.75   0.081    -.0396226    .6774506
          7  |   .2807313   .1859629     1.51   0.132     -.085087    .6465495
          8  |   .2300416   .1770114     1.30   0.195    -.1181675    .5782507
          9  |   .1894548   .1728337     1.10   0.274    -.1505362    .5294457
         10  |   .1594397   .1749951     0.91   0.363     -.184803    .5036825
         11  |   .1566952   .1750668     0.90   0.371    -.1876887    .5010791
         12  |   .1351787   .1749975     0.77   0.440    -.2090687    .4794262
         13  |   .1449831   .1755246     0.83   0.409    -.2003014    .4902676
             |
       _cons |  -.0741974   .1774348    -0.42   0.676    -.4232395    .2748446
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,282    .1213804    .2579557          0   2.120929
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 331)        =   4.85
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8185
                                                    Adj R-squared     = 0.7566
                                                    Root MSE          = 0.2310

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .061265   .0381496     1.61   0.109    -.0137813    .1363114
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0587118   .0522638     1.12   0.262    -.0440993    .1615229
          4  |  -.0014419   .0302301    -0.05   0.962    -.0609093    .0580255
          5  |   .0390084   .0386331     1.01   0.313    -.0369891    .1150058
          6  |  -.0134153   .0583717    -0.23   0.818    -.1282417    .1014111
          7  |          0  (empty)
          8  |   .0067853   .0619552     0.11   0.913    -.1150903     .128661
          9  |   .0357329   .0924856     0.39   0.699    -.1462008    .2176666
         10  |          0  (empty)
         11  |  -.0467423   .0483733    -0.97   0.335    -.1419001    .0484155
         12  |   .0340393   .0459677     0.74   0.460    -.0563864    .1244649
             |
  year_group |
          5  |  -.0375956   .1284536    -0.29   0.770    -.2902839    .2150927
          6  |   .2870568   .2049768     1.40   0.162    -.1161646    .6902783
          7  |    .120146   .1637085     0.73   0.464    -.2018942    .4421863
          8  |   .1205567   .1393212     0.87   0.387    -.1535099    .3946232
          9  |    .155268   .1356816     1.14   0.253    -.1116391     .422175
         10  |   .1177662   .1422053     0.83   0.408     -.161974    .3975064
         11  |   .0198126   .1439667     0.14   0.891    -.2633926    .3030177
         12  |   .0071862   .1436519     0.05   0.960    -.2753995     .289772
         13  |   .0270072   .1439216     0.19   0.851    -.2561092    .3101236
             |
       _cons |   .1605434   .1412929     1.14   0.257    -.1174019    .4384887
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,282    .2700098    .4627293          0   2.747281
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 331)        =   3.70
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9770
                                                    Adj R-squared     = 0.9691
                                                    Root MSE          = 0.0860

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0014757   .0143459    -0.10   0.918    -.0296964    .0267451
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0162831   .0182741    -0.89   0.374    -.0522311    .0196649
          4  |   .0262252   .0164617     1.59   0.112    -.0061576    .0586079
          5  |  -.0146862   .0190302    -0.77   0.441    -.0521216    .0227493
          6  |  -.0042327   .0227983    -0.19   0.853    -.0490805     .040615
          7  |          0  (empty)
          8  |  -.0482946   .0267477    -1.81   0.072    -.1009114    .0043223
          9  |   .0381625   .0243985     1.56   0.119    -.0098332    .0861581
         10  |          0  (empty)
         11  |   .0231066   .0215558     1.07   0.285    -.0192971    .0655102
         12  |   .0047174   .0100754     0.47   0.640    -.0151025    .0245372
             |
  year_group |
          5  |  -.1664583   .0269274    -6.18   0.000    -.2194287    -.113488
          6  |  -.0189614   .0901622    -0.21   0.834    -.1963246    .1584018
          7  |  -.0644061    .059413    -1.08   0.279    -.1812807    .0524685
          8  |   -.070928   .0576307    -1.23   0.219    -.1842967    .0424407
          9  |  -.0664727   .0558169    -1.19   0.235    -.1762734     .043328
         10  |  -.0896456    .058708    -1.53   0.128    -.2051334    .0258421
         11  |  -.0844461      .0608    -1.39   0.166    -.2040492     .035157
         12  |  -.0767031   .0620459    -1.24   0.217     -.198757    .0453509
         13  |  -.1140899   .0605132    -1.89   0.060    -.2331289    .0049491
             |
       _cons |   .3955712   .0590813     6.70   0.000     .2793491    .5117934
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,282    .3042494    .4730617          0   2.733231
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 331)        =   3.19
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9417
                                                    Adj R-squared     = 0.9219
                                                    Root MSE          = 0.1376

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0001393   .0282196     0.00   0.996    -.0553731    .0556517
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0116924   .0559013     0.21   0.834    -.0982742    .1216591
          4  |   .0299116   .0214287     1.40   0.164    -.0122421    .0720652
          5  |   .0104261   .0235912     0.44   0.659    -.0359814    .0568336
          6  |    .018333   .0372087     0.49   0.623    -.0548624    .0915283
          7  |          0  (empty)
          8  |   .0406803    .042618     0.95   0.341    -.0431559    .1245165
          9  |   .0438616   .0426692     1.03   0.305    -.0400753    .1277985
         10  |          0  (empty)
         11  |   .0345287   .0354808     0.97   0.331    -.0352676    .1043251
         12  |   .0089231   .0605089     0.15   0.883    -.1101075    .1279536
             |
  year_group |
          5  |   -.227418   .0403042    -5.64   0.000    -.3067027   -.1481334
          6  |  -.7080226   .2132973    -3.32   0.001    -1.127612   -.2884333
          7  |  -.7913696   .1913321    -4.14   0.000     -1.16775   -.4149893
          8  |  -.7962772   .1919044    -4.15   0.000    -1.173783   -.4187712
          9  |  -.8064584   .1870887    -4.31   0.000    -1.174491   -.4384256
         10  |   -.785945   .1891275    -4.16   0.000    -1.157988   -.4139016
         11  |  -.7491292   .1896626    -3.95   0.000    -1.122225   -.3760332
         12  |  -.7465318   .1896209    -3.94   0.000    -1.119546   -.3735178
         13  |   -.727124    .190003    -3.83   0.000     -1.10089   -.3533584
             |
       _cons |    1.05326   .1864109     5.65   0.000     .6865606     1.41996
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,282     .297474    .4759561          0    2.65852
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(18, 331)        =   2.85
                                                    Prob > F          = 0.0001
                                                    R-squared         = 0.8411
                                                    Adj R-squared     = 0.7869
                                                    Root MSE          = 0.2282

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0060279    .038246     0.16   0.875    -.0692081    .0812638
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2388669   .1022679     2.34   0.020     .0376899     .440044
          4  |   .0264441   .0340978     0.78   0.439    -.0406317    .0935199
          5  |  -.0040677   .0406124    -0.10   0.920    -.0839586    .0758232
          6  |  -.0157733    .054562    -0.29   0.773    -.1231053    .0915586
          7  |          0  (empty)
          8  |  -.0737456   .0534726    -1.38   0.169    -.1789346    .0314434
          9  |   .1206101   .0739333     1.63   0.104    -.0248283    .2660485
         10  |          0  (empty)
         11  |     .06756   .0574324     1.18   0.240    -.0454185    .1805384
         12  |   .0412902    .037954     1.09   0.277    -.0333713    .1159516
             |
  year_group |
          5  |  -.0271109   .0484402    -0.56   0.576    -.1224003    .0681786
          6  |   .0597649   .1378525     0.43   0.665    -.2114125    .3309423
          7  |  -.0439192   .1438841    -0.31   0.760    -.3269617    .2391233
          8  |  -.1001851    .120483    -0.83   0.406    -.3371941    .1368239
          9  |  -.1128196   .1144702    -0.99   0.325    -.3380005    .1123612
         10  |  -.1146715   .1184178    -0.97   0.334    -.3476179     .118275
         11  |  -.1423703   .1186338    -1.20   0.231    -.3757417    .0910011
         12  |  -.1174046   .1203094    -0.98   0.330    -.3540721    .1192628
         13  |  -.1335599   .1225969    -1.09   0.277    -.3747273    .1076074
             |
       _cons |   .4225424   .1207632     3.50   0.001     .1849823    .6601026
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,282    .3280451     .489398          0   2.750102

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(740 missing values generated)
(740 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,250
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7704
                                                    Adj R-squared     = 0.6897
                                                    Root MSE          = 0.2148

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .030285   .0413382     0.73   0.464    -.0510383    .1116083
             |
 scale_group |
          2  |   .0823812   .0576055     1.43   0.154    -.0309442    .1957066
          3  |          0  (omitted)
          4  |   .0354843   .0570536     0.62   0.534    -.0767554    .1477239
          5  |  -.0391486   .0206691    -1.89   0.059    -.0798102    .0015131
          6  |    .015464   .0512271     0.30   0.763    -.0853135    .1162414
          7  |   .0660168   .0542986     1.22   0.225    -.0408031    .1728367
          8  |   .0715199   .0542986     1.32   0.189       -.0353    .1783398
          9  |   .0062821   .0528354     0.12   0.905    -.0976593    .1102234
         10  |  -.0000653    .064628    -0.00   0.999    -.1272058    .1270752
         11  |   .1229119   .0553804     2.22   0.027     .0139638    .2318601
         12  |   .0217868   .0294552     0.74   0.460    -.0361595    .0797331
             |
  year_group |
          5  |          0  (empty)
          6  |   -.315453   .2156517    -1.46   0.144    -.7396976    .1087916
          7  |  -.0621459   .0967627    -0.64   0.521    -.2525041    .1282123
          8  |  -.0159721   .0683474    -0.23   0.815    -.1504297    .1184855
          9  |   .0227986   .0469796     0.49   0.628    -.0696229    .1152201
         10  |   .0627879   .0542599     1.16   0.248    -.0439559    .1695317
         11  |   .1114751   .0675257     1.65   0.100     -.021366    .2443162
         12  |   .1307278   .0668068     1.96   0.051     -.000699    .2621546
         13  |   .1081298   .0684663     1.58   0.115    -.0265618    .2428213
             |
       _cons |   .1068609   .0579547     1.84   0.066    -.0071514    .2208732
------------------------------------------------------------------------------
(740 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,250         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,250    .2221346    .3890729          0   2.710372
(740 missing values generated)
(740 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,250
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8119
                                                    Adj R-squared     = 0.7458
                                                    Root MSE          = 0.2042

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .025079   .0402979     0.62   0.534    -.0541977    .1043556
             |
 scale_group |
          2  |   .1234682   .0599408     2.06   0.040     .0055486    .2413877
          3  |          0  (omitted)
          4  |   .0503197   .0260328     1.93   0.054    -.0008937    .1015331
          5  |   .0125395   .0201489     0.62   0.534    -.0270988    .0521778
          6  |   .0036121   .0441173     0.08   0.935    -.0831784    .0904026
          7  |   .0464826   .0396994     1.17   0.243    -.0316168    .1245819
          8  |   .0464826   .0396994     1.17   0.243    -.0316168    .1245819
          9  |   .0153678   .0257503     0.60   0.551    -.0352899    .0660256
         10  |   .0437868   .0400561     1.09   0.275    -.0350143    .1225878
         11  |   .0357074   .0407829     0.88   0.382    -.0445234    .1159382
         12  |   .1076153   .0537881     2.00   0.046     .0017997    .2134308
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3791177   .0498802    -7.60   0.000    -.4772455     -.28099
          7  |  -.3078079   .0336719    -9.14   0.000    -.3740496   -.2415662
          8  |  -.2447715   .0268017    -9.13   0.000    -.2974976   -.1920453
          9  |  -.2451589    .013436   -18.25   0.000    -.2715912   -.2187267
         10  |  -.1471472    .019484    -7.55   0.000    -.1854773    -.108817
         11  |  -.1068366   .0392401    -2.72   0.007    -.1840324   -.0296407
         12  |  -.1630199   .0316085    -5.16   0.000    -.2252022   -.1008375
         13  |  -.0387563   .0684419    -0.57   0.572    -.1733998    .0958871
             |
       _cons |   .3354533   .0378949     8.85   0.000     .2609039    .4100027
------------------------------------------------------------------------------
(740 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,250         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,250    .2259901    .3979958          0   2.833021
(740 missing values generated)
(740 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,250
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7632
                                                    Adj R-squared     = 0.6800
                                                    Root MSE          = 0.1902

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.010773   .0283717    -0.38   0.704    -.0665878    .0450417
             |
 scale_group |
          2  |  -.0121803    .106229    -0.11   0.909    -.2211611    .1968005
          3  |          0  (omitted)
          4  |   .4106758   .0306238    13.41   0.000     .3504306    .4709209
          5  |   .3899119   .0141859    27.49   0.000     .3620045    .4178193
          6  |   .3386496   .0390923     8.66   0.000     .2617447    .4155546
          7  |    .328629   .0361179     9.10   0.000     .2575754    .3996826
          8  |    .328629   .0361179     9.10   0.000     .2575754    .3996826
          9  |   .3827563   .0439733     8.70   0.000     .2962491    .4692635
         10  |   .5298936   .0520236    10.19   0.000     .4275492     .632238
         11  |   .4128566   .0409581    10.08   0.000     .3322811     .493432
         12  |  -.0762886    .081981    -0.93   0.353    -.2375672    .0849899
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2625773   .0700771    -3.75   0.000    -.4004378   -.1247168
          7  |  -.0756083    .054604    -1.38   0.167    -.1830289    .0318123
          8  |  -.0576086    .050772    -1.13   0.257    -.1574907    .0422736
          9  |  -.0949318    .028728    -3.30   0.001    -.1514473   -.0384162
         10  |   -.096193   .0334683    -2.87   0.004     -.162034    -.030352
         11  |  -.1091275   .0373052    -2.93   0.004    -.1825168   -.0357382
         12  |  -.1046106   .0411588    -2.54   0.011    -.1855809   -.0236403
         13  |  -.0842987   .0415059    -2.03   0.043     -.165952   -.0026455
             |
       _cons |   .0523215   .0447994     1.17   0.244    -.0358109    .1404539
------------------------------------------------------------------------------
(740 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,250         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,250    .2338564    .3466966          0   1.793786
(740 missing values generated)
(740 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,250
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5303
                                                    Adj R-squared     = 0.3651
                                                    Root MSE          = 0.2034

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .003277   .0390041     0.08   0.933    -.0734545    .0800085
             |
 scale_group |
          2  |    .074462   .0376679     1.98   0.049     .0003593    .1485648
          3  |          0  (omitted)
          4  |   .1739011   .0294005     5.91   0.000     .1160625    .2317397
          5  |   .1923373   .0195021     9.86   0.000     .1539716    .2307031
          6  |   .3133357   .0697446     4.49   0.000     .1761293     .450542
          7  |  -.0249956   .0796398    -0.31   0.754    -.1816683    .1316771
          8  |  -.0249956   .0796398    -0.31   0.754    -.1816683    .1316771
          9  |   .1315746   .0372706     3.53   0.000     .0582535    .2048958
         10  |    .078036   .0447521     1.74   0.082    -.0100034    .1660754
         11  |   .2296281   .0418517     5.49   0.000     .1472946    .3119616
         12  |    .064234   .0324623     1.98   0.049     .0003721     .128096
             |
  year_group |
          5  |          0  (empty)
          6  |   .1269496   .2605332     0.49   0.626     -.385589    .6394881
          7  |   .1027943   .2602026     0.40   0.693    -.4090937    .6146824
          8  |   .0246324   .2592787     0.10   0.924    -.4854382     .534703
          9  |   .0559854   .2567201     0.22   0.828    -.4490518    .5610225
         10  |    .048909   .2605764     0.19   0.851    -.4637145    .5615325
         11  |   .0815903   .2591717     0.31   0.753    -.4282698    .5914504
         12  |    .064808    .258724     0.25   0.802    -.4441713    .5737873
         13  |     .05875   .2599157     0.23   0.821    -.4525736    .5700737
             |
       _cons |  -.0956743   .2577092    -0.37   0.711    -.6026572    .4113087
------------------------------------------------------------------------------
(740 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,250         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,250    .1164318    .2497091          0   2.412426
(740 missing values generated)
(740 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,250
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7708
                                                    Adj R-squared     = 0.6902
                                                    Root MSE          = 0.2610

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .031036   .0433489     0.72   0.475     -.054243     .116315
             |
 scale_group |
          2  |  -.2100306   .1083469    -1.94   0.053     -.423178    .0031167
          3  |          0  (omitted)
          4  |   .0443307   .0555248     0.80   0.425    -.0649014    .1535629
          5  |   .0505051   .0216745     2.33   0.020     .0078656    .0931446
          6  |  -.0655326   .0896049    -0.73   0.465    -.2418094    .1107442
          7  |   .0127242   .0698508     0.18   0.856     -.124691    .1501394
          8  |   .0413342   .0698508     0.59   0.554     -.096081    .1787494
          9  |   .0727075   .0960982     0.76   0.450    -.1163435    .2617584
         10  |  -.1015697   .0753093    -1.35   0.178    -.2497232    .0465837
         11  |   -.047831   .0638363    -0.75   0.454    -.1734141    .0777521
         12  |  -.1240977   .0928359    -1.34   0.182    -.3067308    .0585354
             |
  year_group |
          5  |          0  (empty)
          6  |   .0932326   .1198751     0.78   0.437    -.1425939     .329059
          7  |    .025194   .1494845     0.17   0.866    -.2688819      .31927
          8  |   .1287374   .1131447     1.14   0.256    -.0938485    .3513232
          9  |   .1238224   .0834522     1.48   0.139    -.0403504    .2879951
         10  |    .105872      .0892     1.19   0.236    -.0696084    .2813523
         11  |  -.0340382   .0931014    -0.37   0.715    -.2171936    .1491171
         12  |  -.0217494   .0928163    -0.23   0.815    -.2043439    .1608452
         13  |   .0265157   .0937134     0.28   0.777    -.1578436    .2108749
             |
       _cons |   .2115258   .0997499     2.12   0.035      .015291    .4077607
------------------------------------------------------------------------------
(740 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,250         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,250    .2550395    .4832103          0   3.020596
(740 missing values generated)
(740 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,250
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9695
                                                    Adj R-squared     = 0.9588
                                                    Root MSE          = 0.0904

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0152561   .0174879     0.87   0.384    -.0191473    .0496595
             |
 scale_group |
          2  |   -.032228   .0219402    -1.47   0.143    -.0753903    .0109343
          3  |          0  (omitted)
          4  |   .0675594   .0202149     3.34   0.001     .0277913    .1073275
          5  |   .0389395    .008744     4.45   0.000     .0217378    .0561412
          6  |   .1035519   .0649842     1.59   0.112    -.0242894    .2313932
          7  |   .0314153   .0227014     1.38   0.167    -.0132445    .0760751
          8  |   .0369871   .0227014     1.63   0.104    -.0076727    .0816469
          9  |   .0720986   .0213781     3.37   0.001     .0300421    .1141551
         10  |  -.0139905   .0466793    -0.30   0.765    -.1058211    .0778401
         11  |   .0906408   .0271404     3.34   0.001     .0372484    .1440333
         12  |  -.0060399   .0146459    -0.41   0.680    -.0348523    .0227725
             |
  year_group |
          5  |          0  (empty)
          6  |   .2358676   .0331365     7.12   0.000     .1706792    .3010559
          7  |  -.0460992   .0325937    -1.41   0.158    -.1102198    .0180214
          8  |  -.0431408   .0266858    -1.62   0.107    -.0956389    .0093572
          9  |  -.0467433   .0245656    -1.90   0.058    -.0950703    .0015838
         10  |  -.0638864   .0266164    -2.40   0.017    -.1162479   -.0115249
         11  |  -.0569552   .0319024    -1.79   0.075    -.1197157    .0058053
         12  |  -.0504702   .0340013    -1.48   0.139    -.1173599    .0164195
         13  |  -.0743795   .0306097    -2.43   0.016     -.134597    -.014162
             |
       _cons |   .2908005   .0321779     9.04   0.000     .2274979     .354103
------------------------------------------------------------------------------
(740 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,250         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,250    .2662207    .4270773          0   2.077126
(740 missing values generated)
(740 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,250
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9444
                                                    Adj R-squared     = 0.9249
                                                    Root MSE          = 0.1218

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0191306   .0237703    -0.80   0.422     -.065893    .0276319
             |
 scale_group |
          2  |  -.0539407   .0689465    -0.78   0.435    -.1895769    .0816956
          3  |          0  (omitted)
          4  |   .0088798   .0188517     0.47   0.638    -.0282065    .0459661
          5  |  -.0095652   .0118851    -0.80   0.422    -.0329465     .013816
          6  |   .0119925   .0302314     0.40   0.692    -.0474807    .0714657
          7  |   -.011798   .0272175    -0.43   0.665    -.0653422    .0417462
          8  |   -.011798   .0272175    -0.43   0.665    -.0653422    .0417462
          9  |   .0093898   .0281594     0.33   0.739    -.0460074     .064787
         10  |  -.0167071   .0284848    -0.59   0.558    -.0727444    .0393302
         11  |   .0288606   .0324713     0.89   0.375    -.0350191    .0927403
         12  |  -.0547303   .0558538    -0.98   0.328    -.1646097    .0551491
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5124539   .1717293    -2.98   0.003    -.8502914   -.1746165
          7  |   -.741413   .0883098    -8.40   0.000    -.9151421   -.5676839
          8  |  -.7152023   .0834304    -8.57   0.000    -.8793322   -.5510725
          9  |  -.7158286     .08178    -8.75   0.000    -.8767117   -.5549455
         10  |  -.6825739   .0836474    -8.16   0.000    -.8471306   -.5180171
         11  |  -.6555063   .0850881    -7.70   0.000    -.8228975   -.4881152
         12  |  -.6694224    .085177    -7.86   0.000    -.8369884   -.5018564
         13  |  -.6300163   .0867224    -7.26   0.000    -.8006224   -.4594102
             |
       _cons |   .9753396   .0857913    11.37   0.000     .8065653    1.144114
------------------------------------------------------------------------------
(740 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,250         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,250    .2671189    .4296742          0   2.068878
(740 missing values generated)
(740 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,250
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7408
                                                    Adj R-squared     = 0.6496
                                                    Root MSE          = 0.2962

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0298066   .0540139     0.55   0.581    -.0764532    .1360665
             |
 scale_group |
          2  |  -.1977208   .0960941    -2.06   0.040    -.3867636    -.008678
          3  |          0  (omitted)
          4  |  -.0006897    .047521    -0.01   0.988    -.0941763    .0927969
          5  |   .0044682    .027007     0.17   0.869    -.0486617    .0575981
          6  |   .0540462   .0742299     0.73   0.467    -.0919839    .2000763
          7  |   -.071843   .0700982    -1.02   0.306    -.2097448    .0660589
          8  |   -.063415   .0700982    -0.90   0.366    -.2013168    .0744869
          9  |   .1540827   .0838605     1.84   0.067    -.0108933    .3190587
         10  |  -.1668252   .0785194    -2.12   0.034    -.3212938   -.0123566
         11  |    .100783   .0813767     1.24   0.216    -.0593067    .2608727
         12  |   -.041693   .0712587    -0.59   0.559    -.1818779     .098492
             |
  year_group |
          5  |          0  (empty)
          6  |  -.7083196   .1181715    -5.99   0.000    -.9407945   -.4758447
          7  |  -.5249072   .1113076    -4.72   0.000    -.7438791   -.3059354
          8  |  -.5496087   .0601652    -9.13   0.000    -.6679696   -.4312477
          9  |  -.5544107   .0265023   -20.92   0.000    -.6065478   -.5022737
         10  |  -.4965556   .0391299   -12.69   0.000    -.5735346   -.4195765
         11  |   -.551448   .0436553   -12.63   0.000    -.6373296   -.4655663
         12  |  -.5024306   .0457157   -10.99   0.000    -.5923656   -.4124956
         13  |  -.4235092   .0687973    -6.16   0.000    -.5588519   -.2881665
             |
       _cons |   .8301843   .0643224    12.91   0.000     .7036449    .9567237
------------------------------------------------------------------------------
(740 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,250         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,250    .3252783    .4998708          0   2.800512

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(814 missing values generated)
(814 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,176
Absorbed variable: factor_pair                      No. of categories =    280
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7462
                                                    Adj R-squared     = 0.6603
                                                    Root MSE          = 0.2273

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0159577   .0569723    -0.28   0.780    -.1280376    .0961221
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0380655    .053034    -0.72   0.473    -.1423975    .0662665
          4  |  -.1086092   .0628415    -1.73   0.085    -.2322352    .0150168
          5  |  -.1985373   .0643954    -3.08   0.002    -.3252202   -.0718544
          6  |   -.100689   .0745127    -1.35   0.178    -.2472755    .0458975
          7  |          0  (omitted)
          8  |   .0052749          .        .       .            .           .
          9  |   -.184668   .0780336    -2.37   0.019     -.338181    -.031155
         10  |          0  (empty)
         11  |  -.0257178   .0656364    -0.39   0.695    -.1548423    .1034066
         12  |   .0287164   .0517398     0.56   0.579    -.0730696    .1305024
             |
  year_group |
          5  |   .0452855          .        .       .            .           .
          6  |  -.1250026   .2464081    -0.51   0.612    -.6097533     .359748
          7  |   .0972138   .1253552     0.78   0.439    -.1493935    .3438211
          8  |   .0661093    .104061     0.64   0.526    -.1386065    .2708252
          9  |   .0661376   .1060124     0.62   0.533    -.1424171    .2746923
         10  |   .1361533   .1114317     1.22   0.223    -.0830627    .3553693
         11  |   .1744951   .1185413     1.47   0.142    -.0587072    .4076975
         12  |   .1989173   .1181646     1.68   0.093    -.0335441    .4313786
         13  |   .1605323   .1210305     1.33   0.186     -.077567    .3986316
             |
       _cons |   .1799693    .114263     1.58   0.116    -.0448167    .4047553
------------------------------------------------------------------------------
(814 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,176         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,176    .2235813    .3933257          0   2.802322
(814 missing values generated)
(814 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,176
Absorbed variable: factor_pair                      No. of categories =    280
                                                    F(0, 326)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8177
                                                    Adj R-squared     = 0.7561
                                                    Root MSE          = 0.2227

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0136461          .        .       .            .           .
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0427662          .        .       .            .           .
          4  |   .0527568          .        .       .            .           .
          5  |   .0093169          .        .       .            .           .
          6  |   .0292879          .        .       .            .           .
          7  |          0  (omitted)
          8  |  -3.52e-15          .        .       .            .           .
          9  |   .0362538          .        .       .            .           .
         10  |          0  (empty)
         11  |   .0239519          .        .       .            .           .
         12  |    .061392          .        .       .            .           .
             |
  year_group |
          5  |  -.3055829          .        .       .            .           .
          6  |  -.4370545          .        .       .            .           .
          7  |  -.3880635          .        .       .            .           .
          8  |  -.3151213          .        .       .            .           .
          9  |  -.2955024          .        .       .            .           .
         10  |  -.1634141          .        .       .            .           .
         11  |  -.1473026          .        .       .            .           .
         12  |  -.1781095          .        .       .            .           .
         13  |  -.1238093          .        .       .            .           .
             |
       _cons |   .4333869          .        .       .            .           .
------------------------------------------------------------------------------
(814 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,176         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,176    .2642891    .4508668          0   3.387476
(814 missing values generated)
(814 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,176
Absorbed variable: factor_pair                      No. of categories =    280
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7736
                                                    Adj R-squared     = 0.6970
                                                    Root MSE          = 0.2117

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0284812   .0450544     0.63   0.528    -.0601529    .1171153
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2841072   .0727482     3.91   0.000      .140992    .4272224
          4  |   .0666673   .0337433     1.98   0.049     .0002851    .1330495
          5  |   .0088252   .0314689     0.28   0.779    -.0530826    .0707331
          6  |  -.0072993   .0480006    -0.15   0.879    -.1017292    .0871307
          7  |  -4.16e-15          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0384502    .054966     0.70   0.485    -.0696826     .146583
         10  |          0  (empty)
         11  |   .1100624   .0435848     2.53   0.012     .0243194    .1958054
         12  |   .0769371    .046598     1.65   0.100    -.0147336    .1686078
             |
  year_group |
          5  |   .1393681   1.05e-07  1.3e+06   0.000     .1393679    .1393683
          6  |  -.0336986   .0595067    -0.57   0.572    -.1507642    .0833671
          7  |  -.1236387   .0569551    -2.17   0.031    -.2356845   -.0115928
          8  |   -.113396   .0417678    -2.71   0.007    -.1955645   -.0312275
          9  |  -.1432556   .0333559    -4.29   0.000    -.2088755   -.0776357
         10  |  -.1887087   .0377055    -5.00   0.000    -.2628855   -.1145319
         11  |  -.2102024   .0415092    -5.06   0.000    -.2918622   -.1285427
         12  |  -.1762688   .0475615    -3.71   0.000     -.269835   -.0827026
         13  |  -.1818577   .0479354    -3.79   0.000    -.2761595   -.0875559
             |
       _cons |    .355594   .0410676     8.66   0.000     .2748031    .4363849
------------------------------------------------------------------------------
(814 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,176         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,176     .258134    .3966163          0    2.21154
(814 missing values generated)
(814 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,176
Absorbed variable: factor_pair                      No. of categories =    280
                                                    F(0, 326)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5502
                                                    Adj R-squared     = 0.3981
                                                    Root MSE          = 0.1985

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0005106          .        .       .            .           .
             |
 scale_group |
          2  |   .1011144          .        .       .            .           .
          3  |          0  (omitted)
          4  |   .0939931          .        .       .            .           .
          5  |   .0982639          .        .       .            .           .
          6  |   .1352723          .        .       .            .           .
          7  |  -4.69e-17          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0208103          .        .       .            .           .
         10  |          0  (empty)
         11  |   .1030462          .        .       .            .           .
         12  |   .0774088          .        .       .            .           .
             |
  year_group |
          5  |    .150698          .        .       .            .           .
          6  |   .2121867          .        .       .            .           .
          7  |   .2162649          .        .       .            .           .
          8  |   .1610599          .        .       .            .           .
          9  |   .1297972          .        .       .            .           .
         10  |   .1464723          .        .       .            .           .
         11  |    .192446          .        .       .            .           .
         12  |   .1684055          .        .       .            .           .
         13  |   .1872351          .        .       .            .           .
             |
       _cons |  -.1382823          .        .       .            .           .
------------------------------------------------------------------------------
(814 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,176         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,176    .1146352    .2483798          0    2.34349
(814 missing values generated)
(814 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,176
Absorbed variable: factor_pair                      No. of categories =    280
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7678
                                                    Adj R-squared     = 0.6892
                                                    Root MSE          = 0.2589

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0811243   .0556637     1.46   0.146     -.028381    .1906297
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0357515   .0886739     0.40   0.687    -.1386937    .2101968
          4  |  -.0489618   .0446894    -1.10   0.274    -.1368778    .0389542
          5  |   .0359474   .0517508     0.69   0.488    -.0658604    .1377552
          6  |  -.1245669   .0489939    -2.54   0.011    -.2209509   -.0281829
          7  |  -.0363981          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0475109   .0783119     0.61   0.544    -.1065494    .2015713
         10  |          0  (empty)
         11  |  -.1563599   .0454152    -3.44   0.001    -.2457038    -.067016
         12  |  -.0036038   .0504364    -0.07   0.943    -.1028256    .0956181
             |
  year_group |
          5  |   .1102335          .        .       .            .           .
          6  |   .1094149   .1296725     0.84   0.399    -.1456856    .3645153
          7  |   .0114615   .1350887     0.08   0.932    -.2542942    .2772172
          8  |    .060325   .1118671     0.54   0.590    -.1597476    .2803975
          9  |   .1270383   .1025868     1.24   0.216    -.0747775     .328854
         10  |    .044221   .1049432     0.42   0.674    -.1622303    .2506724
         11  |     -.0933   .1113918    -0.84   0.403    -.3124375    .1258374
         12  |  -.0377402   .1099683    -0.34   0.732    -.2540772    .1785968
         13  |   .0031487   .1131072     0.03   0.978    -.2193633    .2256607
             |
       _cons |   .2664485   .1042915     2.55   0.011     .0612792    .4716178
------------------------------------------------------------------------------
(814 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,176         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,176    .2790741    .4608325          0   2.728043
(814 missing values generated)
(814 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,176
Absorbed variable: factor_pair                      No. of categories =    280
                                                    F(16, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9646
                                                    Adj R-squared     = 0.9526
                                                    Root MSE          = 0.1069

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0072861   .0215781     0.34   0.736    -.0351639     .049736
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0349616    .017996    -1.94   0.053    -.0703645    .0004412
          4  |   .0372195     .02203     1.69   0.092    -.0061194    .0805584
          5  |    .015674   .0223004     0.70   0.483     -.028197    .0595449
          6  |   .1110252    .052785     2.10   0.036      .007183    .2148673
          7  |          0  (omitted)
          8  |   .0041266          .        .       .            .           .
          9  |   .0426746   .0324828     1.31   0.190    -.0212279     .106577
         10  |          0  (empty)
         11  |   .0290578   .0377242     0.77   0.442    -.0451558    .1032714
         12  |  -.0179571   .0153361    -1.17   0.242    -.0481273    .0122131
             |
  year_group |
          5  |  -.1351345          .        .       .            .           .
          6  |  -.1131334   .0538972    -2.10   0.037    -.2191637   -.0071032
          7  |  -.0649584   .0331654    -1.96   0.051    -.1302035    .0002867
          8  |  -.0680402   .0295174    -2.31   0.022    -.1261087   -.0099716
          9  |  -.0656158   .0287478    -2.28   0.023    -.1221704   -.0090612
         10  |   -.092271   .0305384    -3.02   0.003    -.1523481   -.0321939
         11  |  -.0842482   .0370468    -2.27   0.024    -.1571292   -.0113671
         12  |   -.062755   .0373429    -1.68   0.094    -.1362185    .0107086
         13  |  -.0595038   .0414187    -1.44   0.152    -.1409854    .0219778
             |
       _cons |   .3767015   .0322824    11.67   0.000     .3131935    .4402096
------------------------------------------------------------------------------
(814 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,176         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,176    .3095795    .4743918          0   2.680036
(814 missing values generated)
(814 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,176
Absorbed variable: factor_pair                      No. of categories =    280
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9556
                                                    Adj R-squared     = 0.9406
                                                    Root MSE          = 0.1188

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0387795   .0271603    -1.43   0.154    -.0922112    .0146521
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0402081   .0367948     1.09   0.275    -.0321771    .1125933
          4  |   .0077734   .0172953     0.45   0.653     -.026251    .0417978
          5  |   -.003745   .0194493    -0.19   0.847    -.0420069     .034517
          6  |    .024407   .0201807     1.21   0.227    -.0152939    .0641079
          7  |          0  (omitted)
          8  |  -7.16e-15          .        .       .            .           .
          9  |   .0198634   .0322651     0.62   0.539    -.0436108    .0833375
         10  |          0  (empty)
         11  |   .0021055   .0229076     0.09   0.927    -.0429598    .0471708
         12  |   .0124483   .0441296     0.28   0.778    -.0743665    .0992631
             |
  year_group |
          5  |  -.2890893   1.33e-08 -2.2e+07   0.000    -.2890893   -.2890893
          6  |  -.9452394   .1626771    -5.81   0.000    -1.265269   -.6252101
          7  |  -.8715818   .1590323    -5.48   0.000    -1.184441   -.5587227
          8  |  -.8811056   .1608761    -5.48   0.000    -1.197592   -.5646193
          9  |  -.8907905   .1588691    -5.61   0.000    -1.203329   -.5782524
         10  |  -.8921863   .1556869    -5.73   0.000    -1.198464   -.5859084
         11  |  -.8748188   .1577204    -5.55   0.000    -1.185097   -.5645407
         12  |  -.8959837   .1577882    -5.68   0.000    -1.206395   -.5855721
         13  |  -.8675478   .1598778    -5.43   0.000     -1.18207   -.5530253
             |
       _cons |   1.215696   .1548367     7.85   0.000     .9110908    1.520301
------------------------------------------------------------------------------
(814 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,176         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,176    .3080132    .4750968          0   2.462521
(814 missing values generated)
(814 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,176
Absorbed variable: factor_pair                      No. of categories =    280
                                                    F(0, 326)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8219
                                                    Adj R-squared     = 0.7617
                                                    Root MSE          = 0.2403

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0635174          .        .       .            .           .
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0280142          .        .       .            .           .
          4  |   .0307718          .        .       .            .           .
          5  |   .0138219          .        .       .            .           .
          6  |   .0361367          .        .       .            .           .
          7  |   .0043047          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0819428          .        .       .            .           .
         10  |          0  (empty)
         11  |   .0259121          .        .       .            .           .
         12  |   .0914009          .        .       .            .           .
             |
  year_group |
          5  |   .0228372          .        .       .            .           .
          6  |  -.1428114          .        .       .            .           .
          7  |  -.0907283          .        .       .            .           .
          8  |  -.1797166          .        .       .            .           .
          9  |  -.2030731          .        .       .            .           .
         10  |  -.1376882          .        .       .            .           .
         11  |  -.1892727          .        .       .            .           .
         12  |  -.1344501          .        .       .            .           .
         13  |  -.0424768          .        .       .            .           .
             |
       _cons |   .4105638          .        .       .            .           .
------------------------------------------------------------------------------
(814 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,176         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,176    .3275786    .4892612          0   2.618526

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(16, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7892
                                                    Adj R-squared     = 0.7183
                                                    Root MSE          = 0.2149

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0112061   .0391427    -0.29   0.775    -.0882147    .0658025
             |
 scale_group |
          2  |   .0167471   .0312558     0.54   0.592     -.044745    .0782393
          3  |          0  (omitted)
          4  |   .0691108     .04206     1.64   0.101    -.0136372    .1518587
          5  |   .0393213   .0743009     0.53   0.597    -.1068569    .1854996
          6  |   .1137324   .0813116     1.40   0.163    -.0462385    .2737033
          7  |   .2014942    .087278     2.31   0.022      .029785    .3732034
          8  |          0  (empty)
          9  |  -.0129166   .0692788    -0.19   0.852    -.1492145    .1233814
         10  |   .1075732   .0971342     1.11   0.269    -.0835269    .2986733
         11  |   .1420271   .0619825     2.29   0.023     .0200838    .2639703
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   -.071501   .1720694    -0.42   0.678    -.4100273    .2670252
          7  |     .08662   .1476514     0.59   0.558    -.2038667    .3771067
          8  |   .0128109   .1256993     0.10   0.919    -.2344876    .2601094
          9  |   .0875992   .1290175     0.68   0.498    -.1662275    .3414259
         10  |   .1538196   .1343452     1.14   0.253    -.1104887    .4181279
         11  |   .2031359   .1384505     1.47   0.143    -.0692491    .4755209
         12  |   .2280944    .138258     1.65   0.100    -.0439118    .5001005
         13  |   .2108252   .1388745     1.52   0.130    -.0623938    .4840443
             |
       _cons |    .029757    .141033     0.21   0.833    -.2477087    .3072227
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,264    .2272881     .401992          0   3.367041
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(16, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8250
                                                    Adj R-squared     = 0.7661
                                                    Root MSE          = 0.2129

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0002179   .0463801     0.00   0.996    -.0910295    .0914654
             |
 scale_group |
          2  |    .039172   .0238204     1.64   0.101    -.0076919    .0860359
          3  |          0  (omitted)
          4  |   .1364887   .0392082     3.48   0.001     .0593511    .2136263
          5  |   .1157175   .0587621     1.97   0.050       .00011    .2313249
          6  |   .1255216   .0521519     2.41   0.017     .0229189    .2281243
          7  |   .1394651   .0677615     2.06   0.040     .0061524    .2727778
          8  |          0  (empty)
          9  |   .1173905   .0459685     2.55   0.011      .026953    .2078281
         10  |   .1096611   .0562649     1.95   0.052    -.0010334    .2203556
         11  |    .128721   .0520797     2.47   0.014     .0262603    .2311817
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5330202   .0581765    -9.16   0.000    -.6474755   -.4185649
          7  |   -.467772    .053366    -8.77   0.000    -.5727633   -.3627807
          8  |  -.3946004   .0418982    -9.42   0.000    -.4770301   -.3121707
          9  |  -.3572102   .0383875    -9.31   0.000    -.4327331   -.2816874
         10  |  -.2928104   .0414334    -7.07   0.000    -.3743256   -.2112951
         11  |  -.2268582    .059027    -3.84   0.000    -.3429867   -.1107296
         12  |  -.2622714   .0545616    -4.81   0.000    -.3696148    -.154928
         13  |  -.1987432   .0714399    -2.78   0.006    -.3392928   -.0581937
             |
       _cons |   .4392696   .0681247     6.45   0.000     .3052423    .5732969
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,264    .2425921    .4266234          0   2.720278
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(16, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7906
                                                    Adj R-squared     = 0.7201
                                                    Root MSE          = 0.1932

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .021192   .0377041     0.56   0.574    -.0529864    .0953704
             |
 scale_group |
          2  |  -.0396103   .0332402    -1.19   0.234    -.1050064    .0257858
          3  |          0  (omitted)
          4  |  -.0099493   .0239722    -0.42   0.678    -.0571118    .0372131
          5  |  -.0647562   .0407653    -1.59   0.113     -.144957    .0154447
          6  |  -.0851823   .0441214    -1.93   0.054    -.1719859    .0016214
          7  |  -.0872827   .0524417    -1.66   0.097    -.1904555    .0158901
          8  |          0  (empty)
          9  |  -.0744041   .0426963    -1.74   0.082     -.158404    .0095959
         10  |    .106329   .0446708     2.38   0.018     .0184444    .1942136
         11  |  -.0227634   .0412102    -0.55   0.581    -.1038396    .0583129
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0180776   .1176571    -0.15   0.878    -.2495539    .2133988
          7  |  -.0872054   .1158245    -0.75   0.452    -.3150763    .1406655
          8  |   -.008998     .10747    -0.08   0.933    -.2204324    .2024365
          9  |  -.0937089    .103239    -0.91   0.365    -.2968195    .1094017
         10  |  -.1078454   .1041226    -1.04   0.301    -.3126943    .0970036
         11  |  -.1177947    .104423    -1.13   0.260    -.3232346    .0876452
         12  |  -.0930191   .1055785    -0.88   0.379    -.3007322     .114694
         13  |  -.1029748   .1057734    -0.97   0.331    -.3110715     .105122
             |
       _cons |   .3446661   .1078397     3.20   0.002     .1325042     .556828
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,264    .2408872    .3779499          0   2.611805
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(16, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5338
                                                    Adj R-squared     = 0.3769
                                                    Root MSE          = 0.1984

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0524745   .0255098    -2.06   0.040    -.1026621    -.002287
             |
 scale_group |
          2  |   .0111738   .0331826     0.34   0.737     -.054109    .0764566
          3  |          0  (omitted)
          4  |   .0546824   .0257597     2.12   0.035     .0040033    .1053614
          5  |   .0279033    .050691     0.55   0.582    -.0718253    .1276319
          6  |   .0294764    .039823     0.74   0.460    -.0488707    .1078234
          7  |  -.1254351   .0706852    -1.77   0.077    -.2644999    .0136297
          8  |          0  (empty)
          9  |  -.0254098   .0459737    -0.55   0.581    -.1158576     .065038
         10  |  -.0429479   .0408213    -1.05   0.294    -.1232591    .0373633
         11  |   .0427811   .0362403     1.18   0.239    -.0285174    .1140796
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .3395456   .1284691     2.64   0.009     .0867977    .5922934
          7  |    .201923   .1346776     1.50   0.135    -.0630392    .4668852
          8  |   .1391878    .111003     1.25   0.211    -.0791976    .3575732
          9  |   .1181829   .1127197     1.05   0.295    -.1035797    .3399456
         10  |   .1132449   .1128887     1.00   0.317    -.1088502    .3353399
         11  |   .1368869   .1150193     1.19   0.235    -.0893999    .3631737
         12  |   .0951368   .1140807     0.83   0.405    -.1293035    .3195771
         13  |   .0794417   .1148968     0.69   0.490    -.1466042    .3054877
             |
       _cons |  -.0059072   .1159188    -0.05   0.959    -.2339638    .2221493
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,264    .1189855    .2601902          0    2.26048
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(16, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8075
                                                    Adj R-squared     = 0.7427
                                                    Root MSE          = 0.2351

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0199357   .0437421     0.46   0.649    -.0661217    .1059931
             |
 scale_group |
          2  |          0  (omitted)
          3  |          0  (omitted)
          4  |   .0188763   .0334889     0.56   0.573    -.0470091    .0847618
          5  |    .072664   .0557441     1.30   0.193    -.0370059    .1823339
          6  |  -.1362038   .0694177    -1.96   0.051     -.272775    .0003674
          7  |   .0386674   .0715537     0.54   0.589     -.102106    .1794407
          8  |          0  (empty)
          9  |   .0917192   .0848494     1.08   0.281    -.0752119    .2586504
         10  |  -.0522931   .0770136    -0.68   0.498    -.2038082     .099222
         11  |  -.0684541   .0490503    -1.40   0.164    -.1649548    .0280466
         12  |  -.0544555   .0513823    -1.06   0.290    -.1555441     .046633
             |
  year_group |
          5  |          0  (empty)
          6  |   .5076018   .2680453     1.89   0.059    -.0197456    1.034949
          7  |   .0987924   .1275774     0.77   0.439     -.152201    .3497859
          8  |   .0995834   .1119164     0.89   0.374    -.1205989    .3197656
          9  |   .1213606   .1011815     1.20   0.231    -.0777019    .3204232
         10  |   .0658605   .1054577     0.62   0.533    -.1416151     .273336
         11  |   -.024131   .1085165    -0.22   0.824    -.2376244    .1893624
         12  |  -.0181071   .1099216    -0.16   0.869    -.2343649    .1981506
         13  |  -.0161121   .1112191    -0.14   0.885    -.2349225    .2026983
             |
       _cons |   .2123049   .1103593     1.92   0.055    -.0048139    .4294236
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,264    .2584264    .4581926          0   2.987256
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(16, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9687
                                                    Adj R-squared     = 0.9582
                                                    Root MSE          = 0.0970

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.001161   .0163983    -0.07   0.944    -.0334228    .0311008
             |
 scale_group |
          2  |  -.0101725   .0149704    -0.68   0.497    -.0396249    .0192799
          3  |          0  (omitted)
          4  |   .0028676   .0160249     0.18   0.858    -.0286595    .0343947
          5  |  -.0243468   .0222932    -1.09   0.276    -.0682061    .0195124
          6  |  -.0051576   .0388646    -0.13   0.895    -.0816192    .0713039
          7  |  -.0530252   .0293817    -1.80   0.072    -.1108303    .0047798
          8  |          0  (empty)
          9  |   .0045614   .0268833     0.17   0.865    -.0483283    .0574511
         10  |  -.1002786   .0564229    -1.78   0.076     -.211284    .0107268
         11  |   .0144394   .0261062     0.55   0.581    -.0369215    .0658003
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   -.055822   .0584394    -0.96   0.340    -.1707945    .0591506
          7  |  -.0764932   .0349832    -2.19   0.029    -.1453184   -.0076679
          8  |  -.0720654   .0301372    -2.39   0.017    -.1313566   -.0127741
          9  |  -.0910633   .0283022    -3.22   0.001    -.1467445    -.035382
         10  |  -.1061608   .0294057    -3.61   0.000     -.164013   -.0483086
         11  |  -.1116345   .0349694    -3.19   0.002    -.1804327   -.0428363
         12  |  -.0881333   .0364834    -2.42   0.016    -.1599101   -.0163564
         13  |  -.0977019   .0358353    -2.73   0.007    -.1682037   -.0272001
             |
       _cons |    .408826   .0365774    11.18   0.000     .3368643    .4807877
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,264    .2901196    .4617167          0   2.892475
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(16, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9476
                                                    Adj R-squared     = 0.9300
                                                    Root MSE          = 0.1269

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0268934   .0282714    -0.95   0.342    -.0825139    .0287271
             |
 scale_group |
          2  |          0  (omitted)
          3  |          0  (omitted)
          4  |   .0182242    .025119     0.73   0.469    -.0311944    .0676428
          5  |  -.0027298    .029395    -0.09   0.926     -.060561    .0551014
          6  |   .0230949   .0332709     0.69   0.488    -.0423616    .0885515
          7  |   .0186092   .0451534     0.41   0.681    -.0702248    .1074433
          8  |          0  (empty)
          9  |   .0219534   .0302077     0.73   0.468    -.0374767    .0813835
         10  |  -.0001497   .0253548    -0.01   0.995    -.0500324    .0497329
         11  |   .0072901    .038636     0.19   0.850    -.0687215    .0833018
         12  |   .0206209   .0660345     0.31   0.755    -.1092942     .150536
             |
  year_group |
          5  |          0  (empty)
          6  |  -1.069086   .1829801    -5.84   0.000    -1.429077   -.7090939
          7  |  -1.022797   .1810025    -5.65   0.000    -1.378898   -.6666963
          8  |  -1.011797   .1832527    -5.52   0.000    -1.372325   -.6512691
          9  |  -1.071191   .1796723    -5.96   0.000    -1.424675   -.7177066
         10  |  -1.065568   .1761393    -6.05   0.000    -1.412101   -.7190348
         11  |  -1.047344   .1786793    -5.86   0.000    -1.398874   -.6958135
         12  |  -1.034605    .178519    -5.80   0.000     -1.38582   -.6833901
         13  |  -1.049078   .1799222    -5.83   0.000    -1.403053   -.6951019
             |
       _cons |   1.347461   .1792628     7.52   0.000     .9947824    1.700139
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,264    .2921157    .4770761          0   3.123855
(726 missing values generated)
(726 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,264
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(16, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8130
                                                    Adj R-squared     = 0.7501
                                                    Root MSE          = 0.2409

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0085754   .0416907     0.21   0.837     -.073446    .0905969
             |
 scale_group |
          2  |  -.1135063   .0436491    -2.60   0.010    -.1993809   -.0276318
          3  |          0  (omitted)
          4  |    .089518   .0342818     2.61   0.009     .0220726    .1569634
          5  |   .0904344   .0550491     1.64   0.101    -.0178682     .198737
          6  |   .0909892   .0543552     1.67   0.095    -.0159483    .1979267
          7  |   .0295026    .071186     0.41   0.679    -.1105474    .1695525
          8  |          0  (empty)
          9  |   .1231518   .0652648     1.89   0.060    -.0052489    .2515525
         10  |   .0840599   .0734966     1.14   0.254    -.0605359    .2286557
         11  |   .1068843   .0499272     2.14   0.033     .0086584    .2051103
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   -.372532   .2272797    -1.64   0.102     -.819678     .074614
          7  |   -.292332   .1884394    -1.55   0.122    -.6630643    .0784003
          8  |  -.3575625    .179893    -1.99   0.048    -.7114807   -.0036442
          9  |  -.3594121   .1758875    -2.04   0.042      -.70545   -.0133741
         10  |   -.329505   .1738899    -1.89   0.059    -.6716127    .0126027
         11  |  -.3779446   .1772297    -2.13   0.034    -.7266231    -.029266
         12  |  -.3288546   .1790628    -1.84   0.067    -.6811395    .0234303
         13  |  -.3351958   .1783152    -1.88   0.061    -.6860098    .0156183
             |
       _cons |   .6000549    .178389     3.36   0.001     .2490958    .9510141
------------------------------------------------------------------------------
(726 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,264         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,264     .318101    .4743736          0   2.288149

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7564
                                                    Adj R-squared     = 0.6690
                                                    Root MSE          = 0.2370

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0733976   .0569033    -1.29   0.198    -.1853589    .0385638
             |
 scale_group |
          2  |   .2051101   .1682497     1.22   0.224    -.1259333    .5361536
          3  |          0  (omitted)
          4  |   .0110771   .0561264     0.20   0.844    -.0993557    .1215099
          5  |  -.0668046   .0946224    -0.71   0.481     -.252981    .1193718
          6  |   .0181833   .0922617     0.20   0.844    -.1633483    .1997149
          7  |          0  (empty)
          8  |   .0779856   .0936357     0.83   0.406    -.1062495    .2622206
          9  |  -.0297959   .0836073    -0.36   0.722    -.1942993    .1347076
         10  |          0  (empty)
         11  |   .1446009   .0740076     1.95   0.052    -.0010144    .2902163
         12  |   .3327036     .17689     1.88   0.061    -.0153402    .6807474
             |
  year_group |
          5  |   .0065363   5.59e-08  1.2e+05   0.000     .0065362    .0065364
          6  |  -.0071912   2.40e-08 -3.0e+05   0.000    -.0071912   -.0071911
          7  |   -.006764   .0938313    -0.07   0.943     -.191384    .1778559
          8  |  -.0365277   .0496901    -0.74   0.463    -.1342966    .0612411
          9  |  -.0134097   .0171443    -0.78   0.435    -.0471424    .0203229
         10  |   .0275381   .0338301     0.81   0.416    -.0390251    .0941013
         11  |   .0023667   .0625992     0.04   0.970    -.1208017    .1255351
         12  |  -.0033223   .0571477    -0.06   0.954    -.1157645    .1091198
         13  |   .0189893   .0632006     0.30   0.764    -.1053623     .143341
             |
       _cons |   .1947802   .0832562     2.34   0.020     .0309676    .3585928
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         743           0        743        743

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,178    .2364354     .425148          0   3.001433
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8316
                                                    Adj R-squared     = 0.7711
                                                    Root MSE          = 0.2114

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0029277   .0516029    -0.06   0.955    -.1044601    .0986048
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1070818   .1444713    -0.74   0.459    -.3913394    .1771758
          4  |   .0480938    .036497     1.32   0.189    -.0237167    .1199043
          5  |    .015584   .0501929     0.31   0.756    -.0831741    .1143421
          6  |   .0218946   .0495704     0.44   0.659    -.0756387    .1194279
          7  |          0  (empty)
          8  |  -.0406803   .0587108    -0.69   0.489     -.156198    .0748374
          9  |   .0322861   .0437451     0.74   0.461    -.0537855    .1183576
         10  |          0  (empty)
         11  |   .0371194   .0479692     0.77   0.440    -.0572634    .1315022
         12  |   .0441552   .0509876     0.87   0.387    -.0561666    .1444771
             |
  year_group |
          5  |  -.1793517   7.20e-08 -2.5e+06   0.000    -.1793518   -.1793515
          6  |  -2.98e-08   4.68e-08    -0.64   0.525    -1.22e-07    6.22e-08
          7  |  -.2356229   .0297897    -7.91   0.000    -.2942362   -.1770096
          8  |  -.1614977   .0245441    -6.58   0.000      -.20979   -.1132055
          9  |  -.1781727   .0076548   -23.28   0.000     -.193234   -.1631115
         10  |  -.0920338   .0151465    -6.08   0.000    -.1218355    -.062232
         11  |  -.0470071   .0379182    -1.24   0.216    -.1216139    .0275997
         12  |  -.1065241   .0319182    -3.34   0.001    -.1693255   -.0437228
         13  |   .0058875   .0639515     0.09   0.927    -.1199416    .1317166
             |
       _cons |   .3307667   .0504974     6.55   0.000     .2314095     .430124
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         743           0        743        743

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,178    .2505421    .4432151          0   2.830476
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(0, 313)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7732
                                                    Adj R-squared     = 0.6918
                                                    Root MSE          = 0.1929

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0337026          .        .       .            .           .
             |
 scale_group |
          2  |   .0534214          .        .       .            .           .
          3  |          0  (omitted)
          4  |  -.0647154          .        .       .            .           .
          5  |   -.100608          .        .       .            .           .
          6  |  -.1722627          .        .       .            .           .
          7  |          0  (empty)
          8  |  -.1432508          .        .       .            .           .
          9  |  -.1245187          .        .       .            .           .
         10  |          0  (empty)
         11  |  -.0722588          .        .       .            .           .
         12  |    .055104          .        .       .            .           .
             |
  year_group |
          5  |   .0142251          .        .       .            .           .
          6  |  -.2443372          .        .       .            .           .
          7  |  -.0512133          .        .       .            .           .
          8  |  -.1078389          .        .       .            .           .
          9  |  -.1443118          .        .       .            .           .
         10  |  -.1096796          .        .       .            .           .
         11  |   -.174395          .        .       .            .           .
         12  |  -.1556583          .        .       .            .           .
         13  |  -.1305652          .        .       .            .           .
             |
       _cons |   .3931489          .        .       .            .           .
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         743           0        743        743

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,178    .2307665    .3690334          0   2.834692
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5800
                                                    Adj R-squared     = 0.4292
                                                    Root MSE          = 0.1973

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0079055   .0344033    -0.23   0.818    -.0755964    .0597854
             |
 scale_group |
          2  |  -.0246792    .119412    -0.21   0.836    -.2596309    .2102726
          3  |          0  (omitted)
          4  |   .0536035   .0261676     2.05   0.041      .002117    .1050901
          5  |   .0630196   .0454057     1.39   0.166    -.0263193    .1523585
          6  |   .0570213   .0357363     1.60   0.112    -.0132925    .1273351
          7  |          0  (empty)
          8  |  -.0027917   .0423186    -0.07   0.947    -.0860567    .0804732
          9  |   .0175967   .0361359     0.49   0.627    -.0535033    .0886967
         10  |          0  (empty)
         11  |   .0616015   .0326692     1.89   0.060    -.0026776    .1258806
         12  |  -.1479508   .1156321    -1.28   0.202    -.3754653    .0795637
             |
  year_group |
          5  |  -.0512156   9.09e-08 -5.6e+05   0.000    -.0512157   -.0512154
          6  |    .122161   8.69e-08  1.4e+06   0.000     .1221608    .1221612
          7  |   .0805606   .1249884     0.64   0.520     -.165363    .3264842
          8  |   .0396033   .1085723     0.36   0.716    -.1740205    .2532271
          9  |  -.0333058    .103311    -0.32   0.747    -.2365776     .169966
         10  |  -.0181028   .1057935    -0.17   0.864    -.2262591    .1900534
         11  |   .0067015   .1062364     0.06   0.950    -.2023262    .2157292
         12  |   .0050588   .1066484     0.05   0.962    -.2047797    .2148972
         13  |  -.0195406   .1076744    -0.18   0.856    -.2313976    .1923165
             |
       _cons |   .1077545   .1118469     0.96   0.336    -.1123123    .3278213
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         743           0        743        743

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,178    .1222826    .2646241          0   2.358319
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(16, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7953
                                                    Adj R-squared     = 0.7217
                                                    Root MSE          = 0.2409

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0613541   .0420555     1.46   0.146    -.0213932    .1441013
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0841235   .1117754     0.75   0.452    -.1358027    .3040497
          4  |  -.0542429   .0400723    -1.35   0.177    -.1330881    .0246023
          5  |   .0239538   .0612083     0.39   0.696    -.0964779    .1443856
          6  |   -.145224   .0617598    -2.35   0.019    -.2667408   -.0237072
          7  |          0  (empty)
          8  |  -.0169533   .0700772    -0.24   0.809    -.1548352    .1209287
          9  |  -.0482178   .0689404    -0.70   0.485     -.183863    .0874273
         10  |          0  (empty)
         11  |   -.145578   .0581191    -2.50   0.013    -.2599315   -.0312244
         12  |   .0904566   .0531889     1.70   0.090    -.0141964    .1951095
             |
  year_group |
          5  |   .1603606          .        .       .            .           .
          6  |   .4765199   5.00e-08  9.5e+06   0.000     .4765198      .47652
          7  |  -.0892524   .0891713    -1.00   0.318    -.2647034    .0861985
          8  |   .0450625   .0749749     0.60   0.548    -.1024561    .1925811
          9  |   .0372277   .0274174     1.36   0.176    -.0167179    .0911734
         10  |  -.0033122   .0383101    -0.09   0.931      -.07869    .0720657
         11  |   -.106312   .0505794    -2.10   0.036    -.2058306   -.0067934
         12  |  -.1225621    .050822    -2.41   0.016     -.222558   -.0225661
         13  |  -.0573309   .0536459    -1.07   0.286     -.162883    .0482212
             |
       _cons |   .3074801    .058343     5.27   0.000     .1926861    .4222741
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         743           0        743        743

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,178    .2692286    .4618657          0   2.680772
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(0, 313)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9657
                                                    Adj R-squared     = 0.9534
                                                    Root MSE          = 0.1088

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |     .01019          .        .       .            .           .
             |
 scale_group |
          2  |  -.0144492          .        .       .            .           .
          3  |          0  (omitted)
          4  |   .0228948          .        .       .            .           .
          5  |  -.0062578          .        .       .            .           .
          6  |    .064403          .        .       .            .           .
          7  |          0  (empty)
          8  |  -.0057613          .        .       .            .           .
          9  |   .0224473          .        .       .            .           .
         10  |          0  (empty)
         11  |   .0172394          .        .       .            .           .
         12  |  -.0081526          .        .       .            .           .
             |
  year_group |
          5  |  -.0441525          .        .       .            .           .
          6  |    .163632          .        .       .            .           .
          7  |  -.0133282          .        .       .            .           .
          8  |  -.0239147          .        .       .            .           .
          9  |  -.0148106          .        .       .            .           .
         10  |  -.0461728          .        .       .            .           .
         11  |  -.0268099          .        .       .            .           .
         12  |  -.0211406          .        .       .            .           .
         13  |  -.0164466          .        .       .            .           .
             |
       _cons |   .3304649          .        .       .            .           .
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         743           0        743        743

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,178    .3079779    .5001201          0   3.148134
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9580
                                                    Adj R-squared     = 0.9429
                                                    Root MSE          = 0.1178

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0390231   .0257061    -1.52   0.130    -.0896017    .0115556
             |
 scale_group |
          2  |  -.2289924   .0605515    -3.78   0.000    -.3481318    -.109853
          3  |          0  (omitted)
          4  |   .0098436    .018363     0.54   0.592     -.026287    .0459741
          5  |   .0024477   .0242887     0.10   0.920    -.0453422    .0502375
          6  |   .0112773   .0231543     0.49   0.627    -.0342804     .056835
          7  |          0  (empty)
          8  |  -.0152998   .0281224    -0.54   0.587    -.0706326    .0400331
          9  |  -.0234218   .0260994    -0.90   0.370    -.0747743    .0279308
         10  |          0  (empty)
         11  |   .0119963   .0290495     0.41   0.680    -.0451607    .0691534
         12  |  -.1163336   .0579925    -2.01   0.046    -.2304381   -.0022292
             |
  year_group |
          5  |  -.1343803   5.72e-08 -2.3e+06   0.000    -.1343804   -.1343801
          6  |  -.3198083   4.72e-08 -6.8e+06   0.000    -.3198084   -.3198082
          7  |  -.5509682   .0720605    -7.65   0.000    -.6927524    -.409184
          8  |   -.552731   .0710479    -7.78   0.000    -.6925228   -.4129392
          9  |   -.550599   .0677008    -8.13   0.000    -.6838052   -.4173929
         10  |  -.5367258   .0692104    -7.75   0.000    -.6729022   -.4005494
         11  |  -.5268822   .0705842    -7.46   0.000    -.6657616   -.3880028
         12  |  -.5261495   .0714381    -7.37   0.000    -.6667092   -.3855898
         13  |  -.4899256   .0731267    -6.70   0.000    -.6338077   -.3460435
             |
       _cons |   .8887988   .0711221    12.50   0.000     .7488609    1.028737
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         743           0        743        743

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,178    .3062561    .4955463          0   3.229997
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7772
                                                    Adj R-squared     = 0.6972
                                                    Root MSE          = 0.2806

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0097493   .0515129     0.19   0.850    -.0916059    .1111046
             |
 scale_group |
          2  |  -.0304476   .0765299    -0.40   0.691    -.1810258    .1201305
          3  |          0  (omitted)
          4  |  -.0503286   .0363922    -1.38   0.168    -.1219329    .0212757
          5  |  -.0482069    .056718    -0.85   0.396    -.1598036    .0633897
          6  |   -.012225    .064116    -0.19   0.849    -.1383777    .1139278
          7  |          0  (empty)
          8  |  -.0663184   .0627612    -1.06   0.291    -.1898057    .0571688
          9  |   .0155023   .0797736     0.19   0.846     -.141458    .1724626
         10  |          0  (empty)
         11  |  -.0598592    .072657    -0.82   0.411    -.2028171    .0830987
         12  |   .0741501   .0698983     1.06   0.290    -.0633797      .21168
             |
  year_group |
          5  |  -.1054708   1.70e-07 -6.2e+05   0.000    -.1054712   -.1054705
          6  |   .1804196   1.58e-07  1.1e+06   0.000     .1804193    .1804199
          7  |  -.3446756   .0819617    -4.21   0.000    -.5059411   -.1834102
          8  |  -.3205948   .0686602    -4.67   0.000    -.4556888   -.1855009
          9  |  -.4218564   .0247726   -17.03   0.000    -.4705983   -.3731145
         10  |  -.4212527   .0336706   -12.51   0.000    -.4875021   -.3550033
         11  |  -.4400554   .0428862   -10.26   0.000    -.5244371   -.3556737
         12  |  -.3873073   .0488474    -7.93   0.000    -.4834181   -.2911966
         13  |  -.3677713   .0620915    -5.92   0.000    -.4899408   -.2456017
             |
       _cons |    .752538   .0558189    13.48   0.000     .6427102    .8623658
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         743           0        743        743

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,178    .3325447    .5059436          0   2.664732

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(760 missing values generated)
(760 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,230
Absorbed variable: factor_pair                      No. of categories =    295
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8001
                                                    Adj R-squared     = 0.7315
                                                    Root MSE          = 0.2058

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.031087   .0431399    -0.72   0.472    -.1159519     .053778
             |
 scale_group |
          2  |   .0363025   .1172899     0.31   0.757    -.1944303    .2670353
          3  |          0  (omitted)
          4  |    .067958   .0480898     1.41   0.159    -.0266442    .1625602
          5  |  -.0045686   .0293973    -0.16   0.877    -.0623989    .0532617
          6  |   .0841394   .0685418     1.23   0.220     -.050696    .2189748
          7  |   .0278056   .0544016     0.51   0.610    -.0792132    .1348244
          8  |   .0345815   .0544016     0.64   0.525    -.0724373    .1416003
          9  |   .0250787   .0408098     0.61   0.539    -.0552024    .1053597
         10  |  -.0083497   .0547567    -0.15   0.879     -.116067    .0993677
         11  |   .0968739   .0479343     2.02   0.044     .0025775    .1911703
         12  |   .0840711   .1279938     0.66   0.512    -.1677184    .3358606
             |
  year_group |
          5  |   .0047001          .        .       .            .           .
          6  |  -.1860398    .137691    -1.35   0.178    -.4569057    .0848261
          7  |  -.1092181   .0864445    -1.26   0.207    -.2792718    .0608357
          8  |   .0011892   .0787308     0.02   0.988    -.1536901    .1560684
          9  |   .0608014   .0648198     0.94   0.349    -.0667121    .1883149
         10  |   .1170309   .0683206     1.71   0.088    -.0173695    .2514313
         11  |   .1909278   .0792937     2.41   0.017     .0349412    .3469144
         12  |   .1384564   .0785989     1.76   0.079    -.0161633    .2930762
         13  |   .1303902   .0798773     1.63   0.104    -.0267444    .2875248
             |
       _cons |   .0778232   .0804082     0.97   0.334    -.0803559    .2360022
------------------------------------------------------------------------------
(760 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,230         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,230    .2337541    .4187031          0   3.422563
(760 missing values generated)
(760 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,230
Absorbed variable: factor_pair                      No. of categories =    295
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8114
                                                    Adj R-squared     = 0.7467
                                                    Root MSE          = 0.2409

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0378437   .0628628    -0.60   0.548    -.1615074    .0858201
             |
 scale_group |
          2  |   .0213939   .0722324     0.30   0.767    -.1207017    .1634895
          3  |          0  (omitted)
          4  |   .0801826   .0388216     2.07   0.040     .0038127    .1565526
          5  |   .0139094   .0351592     0.40   0.693    -.0552558    .0830746
          6  |   .0141517   .0571223     0.25   0.804    -.0982193    .1265227
          7  |   .0317362   .0554251     0.57   0.567    -.0772961    .1407684
          8  |   .0317362   .0554251     0.57   0.567    -.0772961    .1407684
          9  |   .0333002   .0370517     0.90   0.369    -.0395879    .1061884
         10  |   .0358974   .0563475     0.64   0.525    -.0749493    .1467442
         11  |   .0480948   .0479306     1.00   0.316    -.0461942    .1423838
         12  |   .0666933   .0758573     0.88   0.380    -.0825332    .2159198
             |
  year_group |
          5  |  -.4296684          .        .       .            .           .
          6  |  -.1948405   .1427267    -1.37   0.173    -.4756125    .0859315
          7  |  -.4087219   .0909643    -4.49   0.000    -.5876669   -.2297769
          8  |  -.3267365   .0879146    -3.72   0.000    -.4996821   -.1537909
          9  |  -.3186455   .0849391    -3.75   0.000    -.4857378   -.1515532
         10  |  -.2420394   .0842276    -2.87   0.004     -.407732   -.0763468
         11  |  -.1993718   .0900483    -2.21   0.028    -.3765149   -.0222288
         12  |  -.2630593   .0884996    -2.97   0.003    -.4371558   -.0889628
         13  |  -.1940959    .113299    -1.71   0.088    -.4169778    .0287861
             |
       _cons |   .4901732   .0998204     4.91   0.000     .2938064      .68654
------------------------------------------------------------------------------
(760 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,230         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,230    .2726231    .4916914          0   4.224011
(760 missing values generated)
(760 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,230
Absorbed variable: factor_pair                      No. of categories =    295
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7634
                                                    Adj R-squared     = 0.6822
                                                    Root MSE          = 0.1944

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0347472     .03882     0.90   0.371    -.0416195    .1111139
             |
 scale_group |
          2  |   .0232621   .0844904     0.28   0.783    -.1429475    .1894717
          3  |          0  (omitted)
          4  |    .162727      .0432     3.77   0.000     .0777439    .2477101
          5  |   .1422932   .0407249     3.49   0.001     .0621791    .2224073
          6  |   .0881469   .0627126     1.41   0.161    -.0352214    .2115152
          7  |    .067811   .0490749     1.38   0.168    -.0287291    .1643511
          8  |    .067811   .0490749     1.38   0.168    -.0287291    .1643511
          9  |    .153514   .0502888     3.05   0.002      .054586    .2524421
         10  |   .2173463   .0569718     3.81   0.000     .1052714    .3294211
         11  |   .1657995   .0502914     3.30   0.001     .0668663    .2647328
         12  |    .062015   .0682302     0.91   0.364    -.0722074    .1962375
             |
  year_group |
          5  |   .1186042          .        .       .            .           .
          6  |  -.2316984   .0496699    -4.66   0.000    -.3294091   -.1339877
          7  |  -.1481681   .0512311    -2.89   0.004      -.24895   -.0473863
          8  |  -.0987181   .0494975    -1.99   0.047    -.1960896   -.0013466
          9  |    -.13835   .0363315    -3.81   0.000    -.2098214   -.0668787
         10  |  -.1250412   .0391389    -3.19   0.002    -.2020353    -.048047
         11  |  -.1643588   .0433847    -3.79   0.000    -.2497052   -.0790124
         12  |  -.1317161    .046972    -2.80   0.005    -.2241195   -.0393127
         13  |  -.1453084   .0461875    -3.15   0.002    -.2361685   -.0544483
             |
       _cons |   .2018102   .0604694     3.34   0.001     .0828548    .3207657
------------------------------------------------------------------------------
(760 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,230         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,230    .2341477    .3875066          0   3.312366
(760 missing values generated)
(760 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,230
Absorbed variable: factor_pair                      No. of categories =    295
                                                    F(19, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5993
                                                    Adj R-squared     = 0.4618
                                                    Root MSE          = 0.2199

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.012194   .0399971    -0.30   0.761    -.0908764    .0664883
             |
 scale_group |
          2  |  -.1110636   .2141747    -0.52   0.604    -.5323883     .310261
          3  |          0  (omitted)
          4  |   .1353352   .0366105     3.70   0.000      .063315    .2073554
          5  |   .1284774   .0270024     4.76   0.000     .0753583    .1815965
          6  |   .2055926   .0609474     3.37   0.001     .0856968    .3254883
          7  |   .0250727   .0535834     0.47   0.640    -.0803366    .1304819
          8  |   .0250727   .0535834     0.47   0.640    -.0803366    .1304819
          9  |    .027251   .0459126     0.59   0.553    -.0630682    .1175703
         10  |   .0665249    .044334     1.50   0.134     -.020689    .1537388
         11  |   .1981797   .0540883     3.66   0.000     .0917772    .3045821
         12  |  -.2179151   .1935504    -1.13   0.261    -.5986676    .1628374
             |
  year_group |
          5  |   .1225006   5.72e-08  2.1e+06   0.000     .1225005    .1225007
          6  |   .3200616   .0769462     4.16   0.000      .168693    .4714302
          7  |   .3726478   .1310015     2.84   0.005     .1149416     .630354
          8  |   .1944349   .1179925     1.65   0.100      -.03768    .4265497
          9  |   .1817065   .1133002     1.60   0.110    -.0411776    .4045907
         10  |     .16785    .117743     1.43   0.155     -.063774    .3994741
         11  |   .2005967    .117287     1.71   0.088    -.0301304    .4313237
         12  |   .1781551   .1182468     1.51   0.133    -.0544601    .4107703
         13  |    .196361   .1178171     1.67   0.097     -.035409     .428131
             |
       _cons |  -.1034548   .1404021    -0.74   0.462    -.3796539    .1727443
------------------------------------------------------------------------------
(760 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,230         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,230    .1364183    .3073573          0   2.760581
(760 missing values generated)
(760 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,230
Absorbed variable: factor_pair                      No. of categories =    295
                                                    F(19, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8002
                                                    Adj R-squared     = 0.7317
                                                    Root MSE          = 0.2390

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0143761   .0388354     0.37   0.711    -.0620208    .0907731
             |
 scale_group |
          2  |  -.0823186   .1140003    -0.72   0.471    -.3065801     .141943
          3  |          0  (omitted)
          4  |   .0072665   .0472843     0.15   0.878    -.0857511    .1002841
          5  |   .0047107    .024347     0.19   0.847    -.0431847    .0526062
          6  |  -.0871763   .0616904    -1.41   0.159    -.2085337    .0341812
          7  |   .0248327   .0586549     0.42   0.672    -.0905534    .1402187
          8  |   .0543634   .0586549     0.93   0.355    -.0610226    .1697494
          9  |   .0579266   .0872511     0.66   0.507    -.1137137     .229567
         10  |  -.1407823   .0689353    -2.04   0.042    -.2763918   -.0051727
         11  |  -.0782476   .0540855    -1.45   0.149    -.1846445    .0281494
         12  |  -.0263001   .1066409    -0.25   0.805    -.2360842     .183484
             |
  year_group |
          5  |    .126105   8.37e-08  1.5e+06   0.000     .1261048    .1261052
          6  |   .2029967   .1610923     1.26   0.209    -.1139041    .5198976
          7  |  -.0244814   .1860864    -0.13   0.895    -.3905507    .3415879
          8  |    .163979   .1058434     1.55   0.122    -.0442362    .3721943
          9  |   .1113148   .0888529     1.25   0.211    -.0634767    .2861063
         10  |   .0433575   .0899431     0.48   0.630    -.1335785    .2202936
         11  |  -.0456283    .092354    -0.49   0.622    -.2273071    .1360505
         12  |    -.00997   .0952886    -0.10   0.917    -.1974218    .1774819
         13  |   .0110008   .0950692     0.12   0.908    -.1760194    .1980209
             |
       _cons |   .2317227   .1039485     2.23   0.026     .0272352    .4362102
------------------------------------------------------------------------------
(760 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,230         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,230    .2682503    .4765954          0   3.089856
(760 missing values generated)
(760 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,230
Absorbed variable: factor_pair                      No. of categories =    295
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9629
                                                    Adj R-squared     = 0.9502
                                                    Root MSE          = 0.1068

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0239198   .0170276     1.40   0.161    -.0095768    .0574165
             |
 scale_group |
          2  |  -.0196384   .0175719    -1.12   0.265    -.0542058     .014929
          3  |          0  (omitted)
          4  |    .043206   .0220033     1.96   0.050    -.0000788    .0864909
          5  |   .0150947   .0115292     1.31   0.191    -.0075855     .037775
          6  |   .1653999   .0828638     2.00   0.047     .0023902    .3284095
          7  |  -.0015436   .0285811    -0.05   0.957    -.0577684    .0546812
          8  |   .0022926   .0285811     0.08   0.936    -.0539322    .0585174
          9  |   .0270134   .0164515     1.64   0.102      -.00535    .0593769
         10  |  -.0546212   .0591179    -0.92   0.356     -.170918    .0616756
         11  |    .051325   .0265576     1.93   0.054    -.0009192    .1035691
         12  |  -.0189307   .0155815    -1.21   0.225    -.0495827    .0117213
             |
  year_group |
          5  |   -.119302          .        .       .            .           .
          6  |   .1364352   .0257826     5.29   0.000     .0857157    .1871548
          7  |    -.12563   .0228415    -5.50   0.000    -.1705639   -.0806962
          8  |  -.1234124   .0160896    -7.67   0.000    -.1550638    -.091761
          9  |  -.0985783   .0122662    -8.04   0.000    -.1227085   -.0744482
         10  |  -.1108555   .0152557    -7.27   0.000    -.1408665   -.0808445
         11  |  -.0937564   .0250448    -3.74   0.000    -.1430246   -.0444883
         12  |  -.0874524   .0259136    -3.37   0.001    -.1384296   -.0364751
         13  |  -.1082379   .0284469    -3.80   0.000    -.1641986   -.0522771
             |
       _cons |   .3614065   .0256931    14.07   0.000      .310863      .41195
------------------------------------------------------------------------------
(760 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,230         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,230    .2952148    .4812785          0   3.139912
(760 missing values generated)
(760 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,230
Absorbed variable: factor_pair                      No. of categories =    295
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9522
                                                    Adj R-squared     = 0.9358
                                                    Root MSE          = 0.1212

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0162857   .0242427    -0.67   0.502    -.0639759    .0314045
             |
 scale_group |
          2  |  -.1935006    .066449    -2.91   0.004    -.3242192    -.062782
          3  |          0  (omitted)
          4  |   .0324154   .0204265     1.59   0.113    -.0077677    .0725985
          5  |   .0196446   .0160629     1.22   0.222    -.0119544    .0512436
          6  |   .0549987    .031089     1.77   0.078    -.0061597     .116157
          7  |   .0225425    .025622     0.88   0.380    -.0278612    .0729461
          8  |   .0225425    .025622     0.88   0.380    -.0278612    .0729461
          9  |   .0385566   .0246703     1.56   0.119    -.0099749    .0870881
         10  |   .0096835   .0320955     0.30   0.763    -.0534549    .0728219
         11  |    .057826   .0319219     1.81   0.071    -.0049709    .1206228
         12  |  -.1554446   .0493844    -3.15   0.002    -.2525936   -.0582956
             |
  year_group |
          5  |  -.2075608          .        .       .            .           .
          6  |  -.5224442   .0900421    -5.80   0.000    -.6995752   -.3453133
          7  |   -.651895   .0894161    -7.29   0.000    -.8277945   -.4759956
          8  |  -.6485407   .0816025    -7.95   0.000    -.8090691   -.4880123
          9  |  -.6374827   .0806736    -7.90   0.000    -.7961839   -.4787815
         10  |  -.6142154   .0801567    -7.66   0.000    -.7718998    -.456531
         11  |  -.5866772    .080851    -7.26   0.000    -.7457273   -.4276271
         12  |   -.585941   .0821359    -7.13   0.000    -.7475187   -.4243632
         13  |   -.568818   .0829688    -6.86   0.000    -.7320342   -.4056018
             |
       _cons |   .9161217   .0832268    11.01   0.000     .7523978    1.079846
------------------------------------------------------------------------------
(760 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,230         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,230    .2874479    .4784081          0   3.592018
(760 missing values generated)
(760 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,230
Absorbed variable: factor_pair                      No. of categories =    295
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8006
                                                    Adj R-squared     = 0.7322
                                                    Root MSE          = 0.2549

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0021247   .0501022    -0.04   0.966    -.1006858    .0964364
             |
 scale_group |
          2  |   -.067614   .1243403    -0.54   0.587    -.3122163    .1769882
          3  |          0  (omitted)
          4  |   .0233188   .0486044     0.48   0.632    -.0722958    .1189334
          5  |   .0051515   .0372211     0.14   0.890    -.0680698    .0783728
          6  |   .1473915   .0814917     1.81   0.071     -.012919     .307702
          7  |  -.0412444   .0725606    -0.57   0.570    -.1839857    .1014969
          8  |  -.0445289   .0725606    -0.61   0.540    -.1872702    .0982124
          9  |   .0813821   .0660283     1.23   0.219    -.0485089    .2112731
         10  |  -.1962063    .095417    -2.06   0.041    -.3839107   -.0085019
         11  |   .0500284   .0705623     0.71   0.479    -.0887817    .1888386
         12  |   .0512819   .1122982     0.46   0.648    -.1696312    .2721949
             |
  year_group |
          5  |  -.1421925          .        .       .            .           .
          6  |  -.1194393    .109233    -1.09   0.275    -.3343225    .0954439
          7  |  -.1198994   .1327793    -0.90   0.367     -.381103    .1413041
          8  |  -.0920645   .0712305    -1.29   0.197    -.2321893    .0480603
          9  |   -.147092   .0588548    -2.50   0.013    -.2628713   -.0313128
         10  |  -.1372483   .0642961    -2.13   0.034    -.2637316   -.0107651
         11  |  -.1322786   .0689296    -1.92   0.056    -.2678769    .0033197
         12  |  -.0920429   .0753538    -1.22   0.223    -.2402791    .0561932
         13  |  -.0763526   .0807554    -0.95   0.345    -.2352148    .0825096
             |
       _cons |   .4164512   .0895903     4.65   0.000     .2402091    .5926932
------------------------------------------------------------------------------
(760 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,230         778           0        778        778

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,230    .3212776    .4933606          0   2.806994

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(716 missing values generated)
(716 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,274
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7765
                                                    Adj R-squared     = 0.6985
                                                    Root MSE          = 0.2184

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0445137   .0463084    -0.96   0.337    -.1356199    .0465925
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1787119   .0955258    -1.87   0.062    -.3666476    .0092238
          4  |   .0661977   .0433112     1.53   0.127     -.019012    .1514074
          5  |   .0041282   .0276295     0.15   0.881    -.0502297     .058486
          6  |   .0734464   .0627428     1.17   0.243    -.0499925    .1968854
          7  |   .1366563   .0746974     1.83   0.068     -.010302    .2836146
          8  |   .1447917   .0746974     1.94   0.053    -.0021666    .2917501
          9  |  -.0089894   .0505665    -0.18   0.859     -.108473    .0904941
         10  |          0  (empty)
         11  |   .1514104   .0586158     2.58   0.010     .0360907      .26673
         12  |  -.1014824   .0522915    -1.94   0.053    -.2043599     .001395
             |
  year_group |
          5  |   .0426711   .0055296     7.72   0.000     .0317922    .0535501
          6  |  -.0116464   .1204056    -0.10   0.923    -.2485301    .2252374
          7  |   .1843938   .1282419     1.44   0.151    -.0679069    .4366945
          8  |   .1804855   .1063997     1.70   0.091    -.0288433    .3898143
          9  |   .2138127   .1077087     1.99   0.048     .0019086    .4257168
         10  |   .2515486   .1096707     2.29   0.022     .0357845    .4673126
         11  |   .3621915   .1171798     3.09   0.002     .1316541    .5927289
         12  |   .3909232    .116989     3.34   0.001     .1607612    .6210852
         13  |   .3705775   .1167494     3.17   0.002     .1408868    .6002682
             |
       _cons |  -.0851053   .1135078    -0.75   0.454    -.3084186    .1382079
------------------------------------------------------------------------------
(716 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,274         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,274    .2134781    .3988433          0   2.747319
(716 missing values generated)
(716 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,274
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8529
                                                    Adj R-squared     = 0.8016
                                                    Root MSE          = 0.2255

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0819513   .0586473    -1.40   0.163    -.1973329    .0334304
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1105981   .0432529    -2.56   0.011    -.1956931   -.0255032
          4  |    .052851   .0336248     1.57   0.117    -.0133017    .1190038
          5  |  -.0024673   .0347125    -0.07   0.943      -.07076    .0658255
          6  |  -.0042883   .0563931    -0.08   0.939     -.115235    .1066584
          7  |   -.000475   .0564312    -0.01   0.993    -.1114968    .1105468
          8  |   -.000475   .0564312    -0.01   0.993    -.1114969    .1105468
          9  |  -.0046081   .0401247    -0.11   0.909    -.0835488    .0743325
         10  |          0  (empty)
         11  |   .0381559   .0505239     0.76   0.451    -.0612439    .1375556
         12  |  -.0342672   .0401591    -0.85   0.394    -.1132755    .0447412
             |
  year_group |
          5  |  -.4989809   3.27e-08 -1.5e+07   0.000     -.498981   -.4989809
          6  |  -.2952894   .1755736    -1.68   0.094    -.6407098     .050131
          7  |  -.3650082   .1438845    -2.54   0.012    -.6480839   -.0819326
          8  |  -.2824527   .1393671    -2.03   0.044     -.556641   -.0082643
          9  |  -.2605823   .1397095    -1.87   0.063    -.5354442    .0142796
         10  |  -.1707294   .1368883    -1.25   0.213     -.440041    .0985821
         11  |  -.1099626   .1465076    -0.75   0.453     -.398199    .1782737
         12  |  -.1498517   .1444503    -1.04   0.300    -.4340406    .1343372
         13  |  -.1527723    .145324    -1.05   0.294    -.4386801    .1331355
             |
       _cons |   .5069642   .1446451     3.50   0.001     .2223921    .7915364
------------------------------------------------------------------------------
(716 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,274         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,274    .2803898    .5011069          0   3.847898
(716 missing values generated)
(716 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,274
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8174
                                                    Adj R-squared     = 0.7538
                                                    Root MSE          = 0.1856

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0209359   .0383886     0.55   0.586    -.0545891     .096461
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0855217   .0501749     1.70   0.089    -.0131915    .1842349
          4  |   .1736141   .0464896     3.73   0.000     .0821513    .2650768
          5  |   .1523739   .0437755     3.48   0.001     .0662509    .2384969
          6  |   .1268775   .0572958     2.21   0.028     .0141548    .2396001
          7  |   .1158371   .0519326     2.23   0.026     .0136659    .2180082
          8  |   .1158371   .0519326     2.23   0.026     .0136659    .2180082
          9  |   .2056498   .0665181     3.09   0.002     .0747833    .3365163
         10  |          0  (empty)
         11  |    .174907   .0534026     3.28   0.001     .0698438    .2799702
         12  |  -.0318359   .0453265    -0.70   0.483    -.1210104    .0573386
             |
  year_group |
          5  |   .2812433   .0637016     4.42   0.000     .1559179    .4065686
          6  |  -.1682921   .1034473    -1.63   0.105    -.3718125    .0352283
          7  |  -.2048275   .0997667    -2.05   0.041    -.4011067   -.0085482
          8  |  -.1120654   .0937634    -1.20   0.233    -.2965338    .0724029
          9  |  -.2341614   .0931374    -2.51   0.012    -.4173982   -.0509246
         10  |  -.2166592   .0918523    -2.36   0.019    -.3973677   -.0359506
         11  |  -.2285305   .0924661    -2.47   0.014    -.4104466   -.0466145
         12  |  -.2084772   .0945336    -2.21   0.028    -.3944608   -.0224936
         13  |  -.1702264   .0951434    -1.79   0.075    -.3574098    .0169569
             |
       _cons |   .3081758   .0984798     3.13   0.002     .1144284    .5019232
------------------------------------------------------------------------------
(716 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,274         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,274    .2359364    .3820286          0    2.29572
(716 missing values generated)
(716 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,274
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6092
                                                    Adj R-squared     = 0.4731
                                                    Root MSE          = 0.2003

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0459233   .0410568    -1.12   0.264    -.1266976    .0348511
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3983117   .3724613     1.07   0.286    -.3344619    1.131085
          4  |   .0548212   .0410467     1.34   0.183    -.0259333    .1355757
          5  |   .0691238   .0364638     1.90   0.059    -.0026145     .140862
          6  |   .0952815   .0661471     1.44   0.151    -.0348552    .2254182
          7  |  -.0897941    .049975    -1.80   0.073    -.1881141    .0085258
          8  |  -.0897941    .049975    -1.80   0.073    -.1881141    .0085258
          9  |  -.0459585   .0507465    -0.91   0.366    -.1457962    .0538791
         10  |          0  (empty)
         11  |   .0580584   .0492567     1.18   0.239    -.0388483    .1549652
         12  |   .0515386   .0530537     0.97   0.332    -.0528383    .1559156
             |
  year_group |
          5  |   .3190682   .0318894    10.01   0.000     .2563297    .3818068
          6  |    .423868   .2609288     1.62   0.105    -.0894785    .9372145
          7  |   .2769991   .2127429     1.30   0.194    -.1415475    .6955457
          8  |   .1855991   .2034773     0.91   0.362    -.2147184    .5859166
          9  |   .1304885   .2078619     0.63   0.531    -.2784552    .5394322
         10  |   .1303296   .2079924     0.63   0.531    -.2788708      .53953
         11  |   .1516842   .2090588     0.73   0.469    -.2596142    .5629826
         12  |   .1322689   .2092182     0.63   0.528    -.2793431    .5438809
         13  |   .1284489    .210996     0.61   0.543    -.2866607    .5435585
             |
       _cons |  -.0557375   .2096091    -0.27   0.790    -.4681185    .3566436
------------------------------------------------------------------------------
(716 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,274         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,274    .1250434     .275003          0   3.126086
(716 missing values generated)
(716 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,274
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7918
                                                    Adj R-squared     = 0.7193
                                                    Root MSE          = 0.2646

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .113278   .0557047     2.03   0.043     .0036855    .2228704
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0042396   .1145836    -0.04   0.971    -.2296694    .2211901
          4  |   .0679157   .0561084     1.21   0.227    -.0424708    .1783023
          5  |   .0848378   .0347339     2.44   0.015      .016503    .1531726
          6  |  -.0365184   .0792957    -0.46   0.645    -.1925233    .1194865
          7  |   .0977429    .086406     1.13   0.259    -.0722507    .2677365
          8  |    .101056    .086406     1.17   0.243    -.0689376    .2710496
          9  |   .2062149   .1131748     1.82   0.069    -.0164431     .428873
         10  |          0  (empty)
         11  |  -.0571249    .071577    -0.80   0.425    -.1979441    .0836944
         12  |   .0519005   .0548362     0.95   0.345    -.0559833    .1597843
             |
  year_group |
          5  |  -.0834304   4.49e-08 -1.9e+06   0.000    -.0834305   -.0834303
          6  |   .4131847   .2972647     1.39   0.166    -.1716485    .9980178
          7  |  -.0914568   .2361944    -0.39   0.699    -.5561414    .3732277
          8  |   .0034286   .2114085     0.02   0.987    -.4124927    .4193499
          9  |   .0342974   .2174684     0.16   0.875     -.393546    .4621408
         10  |   .0186965   .2134826     0.09   0.930    -.4013053    .4386982
         11  |  -.1405653   .2167593    -0.65   0.517    -.5670135     .285883
         12  |  -.0819568   .2171632    -0.38   0.706    -.5091996     .345286
         13  |  -.1050932   .2192265    -0.48   0.632    -.5363954     .326209
             |
       _cons |   .2261336   .2125281     1.06   0.288    -.1919902    .6442574
------------------------------------------------------------------------------
(716 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,274         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,274    .2716563    .4917359          0   3.918451
(716 missing values generated)
(716 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,274
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9785
                                                    Adj R-squared     = 0.9711
                                                    Root MSE          = 0.0891

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0231702   .0166538    -1.39   0.165    -.0559346    .0095942
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0268998   .0285099    -0.94   0.346    -.0829896    .0291899
          4  |  -.0133786   .0157317    -0.85   0.396    -.0443288    .0175716
          5  |  -.0138498   .0103533    -1.34   0.182    -.0342186    .0065191
          6  |  -.0277174   .0274412    -1.01   0.313    -.0817048      .02627
          7  |  -.0941425   .0286495    -3.29   0.001     -.150507    -.037778
          8  |  -.0836314   .0286495    -2.92   0.004     -.139996   -.0272669
          9  |   .0234059   .0291613     0.80   0.423    -.0339656    .0807774
         10  |          0  (empty)
         11  |   .0168585    .034289     0.49   0.623    -.0506011     .084318
         12  |   .0037437   .0184993     0.20   0.840    -.0326515     .040139
             |
  year_group |
          5  |  -.1807821   .0018949   -95.41   0.000    -.1845101   -.1770542
          6  |   .0161436   .0569463     0.28   0.777    -.0958915    .1281788
          7  |   .0066591   .0572435     0.12   0.907    -.1059607    .1192789
          8  |  -.0095717   .0490454    -0.20   0.845    -.1060627    .0869193
          9  |  -.0150739   .0507725    -0.30   0.767    -.1149627    .0848149
         10  |  -.0233798   .0510711    -0.46   0.647    -.1238561    .0770965
         11  |  -.0237277   .0531605    -0.45   0.656    -.1283147    .0808593
         12  |  -.0177542   .0552208    -0.32   0.748    -.1263946    .0908863
         13  |  -.0488622   .0528185    -0.93   0.356    -.1527764     .055052
             |
       _cons |   .3904919   .0532124     7.34   0.000     .2858028    .4951811
------------------------------------------------------------------------------
(716 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,274         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,274    .3266992    .5099472          0   2.371726
(716 missing values generated)
(716 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,274
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9543
                                                    Adj R-squared     = 0.9383
                                                    Root MSE          = 0.1300

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0111796   .0333958     0.33   0.738    -.0545227     .076882
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.130168   .1664439    -0.78   0.435    -.4576266    .1972906
          4  |   .0294385   .0227944     1.29   0.197    -.0154067    .0742838
          5  |   .0284592   .0177994     1.60   0.111    -.0065591    .0634774
          6  |   .0367931   .0319228     1.15   0.250    -.0260112    .0995974
          7  |   .0425642   .0324485     1.31   0.191    -.0212745    .1064029
          8  |   .0425642   .0324485     1.31   0.191    -.0212745    .1064029
          9  |   .0609576   .0319807     1.91   0.058    -.0019606    .1238758
         10  |          0  (empty)
         11  |   .0609935   .0394922     1.54   0.123    -.0167028    .1386898
         12  |  -.0193776   .0662387    -0.29   0.770    -.1496944    .1109392
             |
  year_group |
          5  |  -.3094546   1.88e-08 -1.6e+07   0.000    -.3094546   -.3094545
          6  |  -.7238144   .0736539    -9.83   0.000    -.8687198    -.578909
          7  |   -.694676    .094592    -7.34   0.000    -.8807746   -.5085775
          8  |  -.7108437   .0912804    -7.79   0.000     -.890427   -.5312604
          9  |  -.6941675   .0920789    -7.54   0.000    -.8753219   -.5130131
         10  |  -.6866767   .0922991    -7.44   0.000    -.8682643    -.505089
         11  |  -.6567758   .0947214    -6.93   0.000    -.8431289   -.4704227
         12  |  -.6514023   .0952816    -6.84   0.000    -.8388575    -.463947
         13  |  -.6505553   .0957711    -6.79   0.000    -.8389736    -.462137
             |
       _cons |   .9818123    .095699    10.26   0.000     .7935359    1.170089
------------------------------------------------------------------------------
(716 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,274         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,274     .320654    .5146166          0   2.429301
(716 missing values generated)
(716 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,274
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8827
                                                    Adj R-squared     = 0.8419
                                                    Root MSE          = 0.2024

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0076509   .0399432    -0.19   0.848    -.0862345    .0709327
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .4025747   .2511852     1.60   0.110    -.0916026    .8967519
          4  |  -.0257088    .039334    -0.65   0.514    -.1030938    .0516762
          5  |  -.0144288   .0261842    -0.55   0.582    -.0659432    .0370856
          6  |  -.0794176   .0536694    -1.48   0.140    -.1850058    .0261705
          7  |  -.0639123   .0484934    -1.32   0.188    -.1593174    .0314928
          8  |  -.0656063   .0484934    -1.35   0.177    -.1610114    .0297988
          9  |   .0507781   .0570377     0.89   0.374    -.0614369     .162993
         10  |          0  (empty)
         11  |  -.0345831   .0486207    -0.71   0.477    -.1302386    .0610724
         12  |   .0690714   .0444962     1.55   0.122    -.0184696    .1566124
             |
  year_group |
          5  |  -.1745069   .0022365   -78.03   0.000     -.178907   -.1701069
          6  |   .1478937   .1175427     1.26   0.209    -.0833576     .379145
          7  |  -.0788103   .1171275    -0.67   0.502    -.3092447    .1516242
          8  |  -.0673929   .0912364    -0.74   0.461    -.2468897    .1121039
          9  |  -.1138192   .0907215    -1.25   0.211    -.2923029    .0646645
         10  |  -.1088791   .0909219    -1.20   0.232    -.2877572     .069999
         11  |  -.1624519   .0949526    -1.71   0.088      -.34926    .0243562
         12  |  -.1381797   .0952711    -1.45   0.148    -.3256142    .0492548
         13  |  -.1497314   .0964199    -1.55   0.121    -.3394262    .0399634
             |
       _cons |    .472408   .0955626     4.94   0.000        .2844    .6604161
------------------------------------------------------------------------------
(716 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,274         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,274     .329453    .4986256          0   2.693053

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(694 missing values generated)
(694 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators            Number of obs     =   1,296
Absorbed variable: factor_pair                     No. of categories =     311
                                                   F(18, 334)        = 2559.14
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.7800
                                                   Adj R-squared     =  0.7054
                                                   Root MSE          =  0.2257

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0287218   .0510104     0.56   0.574    -.0716203    .1290639
             |
 scale_group |
          2  |   .1640074    .074323     2.21   0.028     .0178072    .3102075
          3  |          0  (omitted)
          4  |    .126406   .0369971     3.42   0.001     .0536293    .1991827
          5  |   .0378596   .0496513     0.76   0.446    -.0598091    .1355284
          6  |   .1779834   .0443003     4.02   0.000     .0908406    .2651263
          7  |   .1298605   .0670373     1.94   0.054    -.0020081    .2617292
          8  |          0  (empty)
          9  |   .0605173   .0530131     1.14   0.254    -.0437642    .1647989
         10  |    .125655    .097537     1.29   0.199    -.0662093    .3175192
         11  |   .1829788   .0487513     3.75   0.000     .0870805    .2788772
         12  |   .1406443   .0654711     2.15   0.032     .0118566     .269432
             |
  year_group |
          5  |          0  (empty)
          6  |  -.6785838   .0670377   -10.12   0.000     -.810453   -.5467145
          7  |   -.009814   .0633483    -0.15   0.877    -.1344259    .1147979
          8  |   .0783908   .0072221    10.85   0.000     .0641843    .0925973
          9  |   .1483192   .0554376     2.68   0.008     .0392684      .25737
         10  |   .1855599    .043881     4.23   0.000     .0992418    .2718779
         11  |   .2390904   .0668883     3.57   0.000      .107515    .3706658
         12  |   .2497223   .0563605     4.43   0.000     .1388561    .3605885
         13  |   .1664836   .0609742     2.73   0.007     .0465418    .2864254
             |
       _cons |  -.0868904   .0669914    -1.30   0.196    -.2186687    .0448879
------------------------------------------------------------------------------
(694 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,296         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,296    .2184031    .4160135          0   3.124844
(694 missing values generated)
(694 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,296
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(16, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8216
                                                    Adj R-squared     = 0.7611
                                                    Root MSE          = 0.2187

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0118463   .0494309    -0.24   0.811    -.1090815    .0853889
             |
 scale_group |
          2  |   .0425699   .0367026     1.16   0.247    -.0296276    .1147674
          3  |          0  (omitted)
          4  |   .1098712   .0400211     2.75   0.006     .0311461    .1885963
          5  |   .0560215   .0489043     1.15   0.253    -.0401778    .1522207
          6  |   .0513187    .054458     0.94   0.347    -.0558051    .1584426
          7  |    .087175   .0593281     1.47   0.143    -.0295289    .2038788
          8  |          0  (empty)
          9  |   .0723123   .0427881     1.69   0.092    -.0118559    .1564805
         10  |   .0740464   .0523873     1.41   0.158    -.0290043     .177097
         11  |   .0772943    .048981     1.58   0.116    -.0190558    .1736443
         12  |   .0130414   .0246904     0.53   0.598    -.0355269    .0616097
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5946021   .0426054   -13.96   0.000    -.6784109   -.5107933
          7  |  -.5127753   .0242381   -21.16   0.000    -.5604538   -.4650968
          8  |  -.4185669          .        .       .            .           .
          9  |  -.4077354   .0280485   -14.54   0.000    -.4629094   -.3525615
         10  |  -.3383286   .0245763   -13.77   0.000    -.3866725   -.2899847
         11  |  -.2734326   .0529152    -5.17   0.000    -.3775218   -.1693434
         12  |  -.3421333   .0405346    -8.44   0.000    -.4218687    -.262398
         13  |  -.2480785   .0680391    -3.65   0.000    -.3819176   -.1142393
             |
       _cons |   .5137227   .0580534     8.85   0.000     .3995263    .6279191
------------------------------------------------------------------------------
(694 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,296         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,296    .2277363    .4378475          0    3.50468
(694 missing values generated)
(694 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,296
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(17, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7771
                                                    Adj R-squared     = 0.7015
                                                    Root MSE          = 0.2060

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0460266   .0413948     1.11   0.267    -.0354007     .127454
             |
 scale_group |
          2  |   -.047851   .0493592    -0.97   0.333     -.144945    .0492431
          3  |          0  (omitted)
          4  |   .1012346   .0681112     1.49   0.138    -.0327464    .2352156
          5  |   .0896097   .0738418     1.21   0.226    -.0556438    .2348632
          6  |   .0467627   .0728769     0.64   0.522    -.0965928    .1901182
          7  |   .0252824   .0823532     0.31   0.759     -.136714    .1872787
          8  |          0  (empty)
          9  |   .0659953   .0872757     0.76   0.450    -.1056839    .2376746
         10  |   .3006913     .10446     2.88   0.004      .095209    .5061736
         11  |   .0980911   .0752123     1.30   0.193    -.0498584    .2460405
         12  |  -.0225768    .038296    -0.59   0.556    -.0979085    .0527549
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0286804   .1017103    -0.28   0.778    -.2287539     .171393
          7  |  -.1035324   .1070078    -0.97   0.334    -.3140265    .1069617
          8  |  -.1387341   .0747859    -1.86   0.064    -.2858449    .0083767
          9  |  -.1779779    .089221    -1.99   0.047    -.3534838    -.002472
         10  |  -.2038665   .0856815    -2.38   0.018    -.3724099   -.0353232
         11  |  -.1947493   .0869966    -2.24   0.026    -.3658795    -.023619
         12  |  -.1825764   .0890812    -2.05   0.041    -.3578073   -.0073454
         13  |  -.1862971   .0877629    -2.12   0.035    -.3589348   -.0136594
             |
       _cons |    .329164   .0988739     3.33   0.001       .13467     .523658
------------------------------------------------------------------------------
(694 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,296         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,296     .240285    .3843313          0   2.673928
(694 missing values generated)
(694 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,296
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 334)        =  25.90
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.6211
                                                    Adj R-squared     = 0.4926
                                                    Root MSE          = 0.1954

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0746204   .0349628    -2.13   0.034    -.1433955   -.0058454
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3470547   .2154227     1.61   0.108    -.0767015    .7708109
          4  |   .0486651   .0189917     2.56   0.011     .0113067    .0860236
          5  |   .0419654   .0316989     1.32   0.186    -.0203893      .10432
          6  |   .0838693   .0393989     2.13   0.034      .006368    .1613706
          7  |  -.0998925   .0614402    -1.63   0.105    -.2207509    .0209659
          8  |          0  (empty)
          9  |  -.0596515   .0377781    -1.58   0.115    -.1339645    .0146615
         10  |  -.0670026   .0608215    -1.10   0.271     -.186644    .0526388
         11  |   .0553532    .030361     1.82   0.069    -.0043697     .115076
         12  |   .0180703   .0406425     0.44   0.657    -.0618771    .0980178
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0274272   .1261767    -0.22   0.828    -.2756283     .220774
          7  |    .044836   .1298659     0.35   0.730    -.2106222    .3002941
          8  |  -.0805409   .1137339    -0.71   0.479    -.3042659    .1431842
          9  |  -.1188698   .1173699    -1.01   0.312    -.3497472    .1120076
         10  |  -.1187883   .1182978    -1.00   0.316    -.3514909    .1139143
         11  |  -.0972871   .1224138    -0.79   0.427    -.3380862    .1435121
         12  |  -.1400568   .1209052    -1.16   0.248    -.3778884    .0977749
         13  |  -.1146063   .1223878    -0.94   0.350    -.3553543    .1261417
             |
       _cons |    .225556   .1222709     1.84   0.066    -.0149621    .4660742
------------------------------------------------------------------------------
(694 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,296         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,296    .1177568    .2737806          0   2.509915
(694 missing values generated)
(694 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,296
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 334)        =   7.12
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7793
                                                    Adj R-squared     = 0.7045
                                                    Root MSE          = 0.2682

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0729001   .0477631     1.53   0.128    -.0210543    .1668546
             |
 scale_group |
          2  |   .0419008   .0988376     0.42   0.672    -.1525219    .2363234
          3  |          0  (omitted)
          4  |  -.0331621   .0292786    -1.13   0.258    -.0907557    .0244315
          5  |   .0279809   .0388299     0.72   0.472    -.0484011    .1043629
          6  |  -.0863326   .0420744    -2.05   0.041    -.1690968   -.0035684
          7  |   .0271568   .0679992     0.40   0.690    -.1066038    .1609174
          8  |          0  (empty)
          9  |   .0463117   .0960787     0.48   0.630     -.142684    .2353075
         10  |  -.0922232   .0752387    -1.23   0.221    -.2402246    .0557782
         11  |  -.0782334    .043912    -1.78   0.076    -.1646123    .0081455
         12  |   .0317408    .086308     0.37   0.713     -.138035    .2015167
             |
  year_group |
          5  |          0  (empty)
          6  |   .9538415   .4724424     2.02   0.044      .024504    1.883179
          7  |   .1040463   .1683948     0.62   0.537    -.2272018    .4352943
          8  |   .2324163   .1296403     1.79   0.074    -.0225981    .4874306
          9  |   .2196576   .1461929     1.50   0.134    -.0679174    .5072325
         10  |    .168965   .1432065     1.18   0.239    -.1127352    .4506653
         11  |   .0377529   .1472977     0.26   0.798    -.2519953    .3275011
         12  |   .0508211   .1460976     0.35   0.728    -.2365663    .3382085
         13  |   .1019539   .1463286     0.70   0.486    -.1858879    .3897956
             |
       _cons |   .1179984   .1435187     0.82   0.412    -.1643161     .400313
------------------------------------------------------------------------------
(694 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,296         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,296    .2691018    .4898719          0   3.868763
(694 missing values generated)
(694 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,296
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(17, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9744
                                                    Adj R-squared     = 0.9657
                                                    Root MSE          = 0.0968

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0111963   .0204823    -0.55   0.585    -.0514869    .0290942
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0116718   .0292617    -0.40   0.690    -.0692323    .0458887
          4  |   .0071853   .0174397     0.41   0.681    -.0271202    .0414908
          5  |  -.0137412   .0200843    -0.68   0.494    -.0532489    .0257665
          6  |    .006256   .0171966     0.36   0.716    -.0275713    .0400833
          7  |  -.0540073   .0278531    -1.94   0.053     -.108797    .0007823
          8  |          0  (empty)
          9  |   .0413833   .0315637     1.31   0.191    -.0207054     .103472
         10  |  -.0790846   .0544374    -1.45   0.147    -.1861678    .0279987
         11  |   .0183049   .0170473     1.07   0.284    -.0152287    .0518385
         12  |   .0052659   .0216885     0.24   0.808    -.0373974    .0479292
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0416954   .0463552    -0.90   0.369    -.1328803    .0494895
          7  |    .039025   .0344177     1.13   0.258    -.0286778    .1067278
          8  |   .0231854   .0245142     0.95   0.345    -.0250363    .0714071
          9  |   .0352456   .0300811     1.17   0.242    -.0239267    .0944179
         10  |   .0119411   .0287033     0.42   0.678    -.0445208    .0684031
         11  |   .0063574   .0363943     0.17   0.861    -.0652335    .0779484
         12  |   .0178436   .0352351     0.51   0.613    -.0514671    .0871543
         13  |   .0183911    .035829     0.51   0.608    -.0520879    .0888701
             |
       _cons |   .3052509   .0360519     8.47   0.000     .2343334    .3761684
------------------------------------------------------------------------------
(694 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,296         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,296    .3011254    .5057538          0   2.917263
(694 missing values generated)
(694 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,296
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 334)        =  21.80
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9535
                                                    Adj R-squared     = 0.9377
                                                    Root MSE          = 0.1264

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0096095   .0330919     0.29   0.772    -.0554854    .0747043
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0628289     .13083    -0.48   0.631    -.3201835    .1945257
          4  |   .0270031   .0272183     0.99   0.322    -.0265377    .0805439
          5  |   .0270942   .0319094     0.85   0.396    -.0356744    .0898629
          6  |   .0315349   .0356636     0.88   0.377    -.0386187    .1016886
          7  |   .0292814   .0477127     0.61   0.540    -.0645738    .1231367
          8  |          0  (empty)
          9  |   .0611813    .033579     1.82   0.069    -.0048716    .1272342
         10  |  -.0142477   .0277867    -0.51   0.608    -.0689067    .0404114
         11  |   .0634183   .0395831     1.60   0.110    -.0144453    .1412818
         12  |   -.017574   .0770937    -0.23   0.820    -.1692244    .1340764
             |
  year_group |
          5  |          0  (empty)
          6  |  -.4623502   .0556123    -8.31   0.000    -.5717447   -.3529558
          7  |  -.3989138   .0319141   -12.50   0.000    -.4616916   -.3361359
          8  |  -.3933724   .0204676   -19.22   0.000    -.4336341   -.3531108
          9  |  -.3722367   .0293532   -12.68   0.000    -.4299771   -.3144962
         10  |  -.3652471   .0320395   -11.40   0.000    -.4282717   -.3022224
         11  |  -.3233843   .0404889    -7.99   0.000    -.4030297   -.2437389
         12  |  -.3240873   .0390244    -8.30   0.000    -.4008519   -.2473227
         13  |  -.3076572   .0417728    -7.37   0.000    -.3898282   -.2254862
             |
       _cons |   .6292395   .0452823    13.90   0.000     .5401652    .7183139
------------------------------------------------------------------------------
(694 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,296         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,296    .2976821    .4974127          0   2.967309
(694 missing values generated)
(694 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,296
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 334)        =   7.50
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7866
                                                    Adj R-squared     = 0.7141
                                                    Root MSE          = 0.2754

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0030513   .0573964    -0.05   0.958    -.1159553    .1098527
             |
 scale_group |
          2  |  -.2543031    .125665    -2.02   0.044    -.5014977   -.0071085
          3  |          0  (omitted)
          4  |   .1087117   .0336573     3.23   0.001     .0425048    .1749186
          5  |   .0831273     .04203     1.98   0.049     .0004504    .1658043
          6  |   .1471751   .0618283     2.38   0.018     .0255531    .2687971
          7  |  -.0366149   .0837132    -0.44   0.662    -.2012865    .1280568
          8  |          0  (empty)
          9  |    .216393   .0750715     2.88   0.004     .0687203    .3640656
         10  |   -.152829   .0921084    -1.66   0.098    -.3340148    .0283567
         11  |   .1377866   .0696371     1.98   0.049      .000804    .2747691
         12  |   -.190542   .1094693    -1.74   0.083    -.4058783    .0247942
             |
  year_group |
          5  |          0  (empty)
          6  |   .1907607   .1458394     1.31   0.192    -.0961187    .4776401
          7  |   .1852304   .0990837     1.87   0.062    -.0096763     .380137
          8  |   .1102551   .0315456     3.50   0.001      .048202    .1723082
          9  |   .0752731   .0601194     1.25   0.211    -.0429872    .1935334
         10  |   .0892967   .0636836     1.40   0.162    -.0359748    .2145683
         11  |   .0596162   .0697069     0.86   0.393    -.0775037    .1967361
         12  |   .1288981   .0713788     1.81   0.072    -.0115105    .2693068
         13  |   .1624762   .0815874     1.99   0.047     .0019864    .3229661
             |
       _cons |   .2160887   .0867855     2.49   0.013     .0453736    .3868038
------------------------------------------------------------------------------
(694 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,296         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,296    .3392761    .5040595          0   2.872786

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    316
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7767
                                                    Adj R-squared     = 0.7009
                                                    Root MSE          = 0.2301

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0137622   .0499259     0.28   0.783    -.0844599    .1119844
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0348786   .0482258    -0.72   0.470     -.129756    .0599987
          4  |  -.0363005   .0458841    -0.79   0.429    -.1265709    .0539699
          5  |  -.0611956    .024963    -2.45   0.015    -.1103066   -.0120845
          6  |    .032754   .0644514     0.51   0.612     -.094045     .159553
          7  |   .0174403   .0679305     0.26   0.798    -.1162034     .151084
          8  |          0  (empty)
          9  |  -.0458816   .0540588    -0.85   0.397    -.1522347    .0604715
         10  |   .0525741   .1064939     0.49   0.622    -.1569375    .2620857
         11  |   .0568591   .0642951     0.88   0.377    -.0696324    .1833506
         12  |   .0061996   .0331431     0.19   0.852    -.0590049     .071404
             |
  year_group |
          5  |   .0530569          .        .       .            .           .
          6  |  -.1774782   .2247541    -0.79   0.430    -.6196502    .2646938
          7  |   .0641857   .1606623     0.40   0.690    -.2518946    .3802661
          8  |   .0419516   .1249497     0.34   0.737    -.2038693    .2877725
          9  |   .0880101    .124121     0.71   0.479    -.1561805    .3322007
         10  |   .1662466   .1264754     1.31   0.190     -.082576    .4150691
         11  |   .2276627     .13263     1.72   0.087    -.0332681    .4885935
         12  |   .2271278   .1301048     1.75   0.082     -.028835    .4830907
         13  |   .2400051   .1362296     1.76   0.079    -.0280074    .5080176
             |
       _cons |   .0953545   .1318449     0.72   0.470    -.1640318    .3547407
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         780           0        780        780

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,320    .2345579    .4139036          0   2.600846
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    316
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8387
                                                    Adj R-squared     = 0.7840
                                                    Root MSE          = 0.2275

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0099018   .0617242    -0.16   0.873    -.1313355    .1115319
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0309287   .0413589    -0.75   0.455    -.1122965     .050439
          4  |   .0687718   .0340344     2.02   0.044     .0018139    .1357297
          5  |  -.0049509   .0308621    -0.16   0.873    -.0656678    .0557659
          6  |   .0097733   .0448178     0.22   0.828    -.0783993    .0979459
          7  |   .0374831   .0471169     0.80   0.427    -.0552127    .1301789
          8  |          0  (empty)
          9  |   .0309537   .0325385     0.95   0.342    -.0330611    .0949685
         10  |    .103992   .0537129     1.94   0.054    -.0016806    .2096646
         11  |    .031445   .0516602     0.61   0.543    -.0701891    .1330791
         12  |   .0144313   .0193316     0.75   0.456    -.0236008    .0524635
             |
  year_group |
          5  |  -.4385946   1.56e-07 -2.8e+06   0.000    -.4385949   -.4385943
          6  |  -.5490269   .0731568    -7.50   0.000    -.6929525   -.4051012
          7  |  -.5157615   .0557809    -9.25   0.000    -.6255026   -.4060205
          8  |  -.4173499   .0419397    -9.95   0.000    -.4998603   -.3348394
          9  |  -.4037347   .0367578   -10.98   0.000    -.4760504    -.331419
         10  |   -.310262   .0392311    -7.91   0.000    -.3874436   -.2330804
         11  |  -.3052169   .0581554    -5.25   0.000    -.4196295   -.1908044
         12  |  -.3382295   .0513213    -6.59   0.000     -.439197    -.237262
         13  |  -.2223036   .0905079    -2.46   0.015     -.400365   -.0442421
             |
       _cons |   .6110752   .0613802     9.96   0.000     .4903183     .731832
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         780           0        780        780

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,320     .272608    .4686494          0   3.878086
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    316
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7998
                                                    Adj R-squared     = 0.7319
                                                    Root MSE          = 0.2083

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0147318   .0479059     0.31   0.759    -.0795162    .1089799
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .173151   .0479608     3.61   0.000     .0787949     .267507
          4  |   .4006551   .0403018     9.94   0.000      .321367    .4799432
          5  |   .3721744   .0239529    15.54   0.000     .3250503    .4192984
          6  |   .3703667   .0478097     7.75   0.000     .2763079    .4644256
          7  |   .3325818   .0439272     7.57   0.000     .2461613    .4190023
          8  |          0  (empty)
          9  |   .4380614   .0500114     8.76   0.000     .3396711    .5364518
         10  |   .4126159   .0558329     7.39   0.000     .3027726    .5224592
         11  |   .4105572   .0465194     8.83   0.000     .3190369    .5020775
         12  |   .0381264    .031659     1.20   0.229    -.0241583    .1004111
             |
  year_group |
          5  |   .2362643          .        .       .            .           .
          6  |  -.1626962   .1263008    -1.29   0.199    -.4111752    .0857827
          7  |   -.227664   .0924067    -2.46   0.014    -.4094612   -.0458669
          8  |  -.2122508    .078992    -2.69   0.008    -.3676563   -.0568452
          9  |  -.2800896   .0714939    -3.92   0.000    -.4207437   -.1394354
         10  |  -.2254237   .0712677    -3.16   0.002    -.3656329   -.0852146
         11  |  -.2432721   .0739461    -3.29   0.001    -.3887505   -.0977937
         12  |  -.2096909   .0808922    -2.59   0.010    -.3688348    -.050547
         13  |  -.2131027   .0764736    -2.79   0.006    -.3635537   -.0626518
             |
       _cons |   .1788412   .0800789     2.23   0.026     .0212974    .3363851
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         780           0        780        780

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,320    .2455205    .3991249          0   2.905549
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    316
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5867
                                                    Adj R-squared     = 0.4465
                                                    Root MSE          = 0.1951

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0415832   .0362626    -1.15   0.252    -.1129248    .0297584
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0726698   .0335768    -2.16   0.031    -.1387275   -.0066122
          4  |   .2107619   .0320462     6.58   0.000     .1477155    .2738084
          5  |   .2120915   .0181313    11.70   0.000     .1764207    .2477623
          6  |   .2366842   .0478288     4.95   0.000     .1425878    .3307806
          7  |  -.0415024    .089325    -0.46   0.643    -.2172368    .1342319
          8  |          0  (empty)
          9  |   .1027743   .0438078     2.35   0.020     .0165886      .18896
         10  |   .0824521   .0649689     1.27   0.205     -.045365    .2102692
         11  |   .2668755   .0441399     6.05   0.000     .1800365    .3537145
         12  |   .0169468   .0160868     1.05   0.293    -.0147016    .0485952
             |
  year_group |
          5  |   .0287007          .        .       .            .           .
          6  |   .1472991    .061108     2.41   0.016     .0270778    .2675203
          7  |   .1374076    .069263     1.98   0.048     .0011424    .2736728
          8  |   .0383502   .0503679     0.76   0.447    -.0607415     .137442
          9  |   .0009437   .0490771     0.02   0.985    -.0956086     .097496
         10  |   .0619061   .0516923     1.20   0.232    -.0397913    .1636034
         11  |   .0661859   .0529781     1.25   0.212     -.038041    .1704129
         12  |   .0307495   .0511516     0.60   0.548    -.0698839     .131383
         13  |   .0241978   .0550788     0.44   0.661    -.0841619    .1325574
             |
       _cons |  -.0570861   .0591485    -0.97   0.335    -.1734523    .0592802
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         780           0        780        780

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,320    .1205504    .2659894          0   2.399648
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    316
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7845
                                                    Adj R-squared     = 0.7114
                                                    Root MSE          = 0.2528

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1114693    .045946     2.43   0.016     .0210771    .2018615
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1344547   .0792758     1.70   0.091    -.0215092    .2904187
          4  |   .0683137   .0490429     1.39   0.165    -.0281712    .1647987
          5  |   .1088551    .022973     4.74   0.000      .063659    .1540512
          6  |  -.0485439   .0726977    -0.67   0.505    -.1915663    .0944785
          7  |   .0958738    .070218     1.37   0.173    -.0422701    .2340177
          8  |          0  (empty)
          9  |   .0803535   .0890509     0.90   0.368    -.0948415    .2555485
         10  |  -.0057906   .0785091    -0.07   0.941    -.1602462    .1486649
         11  |    .027131   .0565025     0.48   0.631    -.0840296    .1382917
         12  |   .0301271   .0420148     0.72   0.474     -.052531    .1127852
             |
  year_group |
          5  |   -.073324          .        .       .            .           .
          6  |   .4608986   .2593919     1.78   0.077    -.0494183    .9712156
          7  |   .0477411   .1325034     0.36   0.719    -.2129406    .3084227
          8  |   .0843636   .0987747     0.85   0.394    -.1099617    .2786889
          9  |   .1199259   .0942741     1.27   0.204    -.0655452    .3053969
         10  |   .0797817   .0969569     0.82   0.411    -.1109674    .2705308
         11  |  -.0433215   .1014245    -0.43   0.670    -.2428597    .1562168
         12  |  -.0396618   .0997998    -0.40   0.691    -.2360037    .1566801
         13  |  -.0076715   .1028949    -0.07   0.941    -.2101027    .1947596
             |
       _cons |   .1259943   .1018334     1.24   0.217    -.0743486    .3263372
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         780           0        780        780

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,320    .2565706    .4686847          0   3.393539
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    316
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9738
                                                    Adj R-squared     = 0.9649
                                                    Root MSE          = 0.0961

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0137576   .0198125     0.69   0.488    -.0252207    .0527359
             |
 scale_group |
          2  |          0  (omitted)
          3  |    -.02586   .0182293    -1.42   0.157    -.0617236    .0100035
          4  |   .0423506   .0193811     2.19   0.030     .0042209    .0804802
          5  |   .0398196   .0099063     4.02   0.000     .0203304    .0593087
          6  |   .0864969   .0487707     1.77   0.077    -.0094526    .1824465
          7  |   .0112632   .0237593     0.47   0.636    -.0354797    .0580062
          8  |          0  (empty)
          9  |   .0310462   .0201452     1.54   0.124    -.0085867    .0706791
         10  |   .0407733   .0219114     1.86   0.064    -.0023343    .0838809
         11  |   .0407785   .0208891     1.95   0.052    -.0003179    .0818748
         12  |  -.0048458   .0088375    -0.55   0.584    -.0222324    .0125408
             |
  year_group |
          5  |  -.1823899          .        .       .            .           .
          6  |  -.0356311   .0865729    -0.41   0.681    -.2059511    .1346889
          7  |   -.078241    .032687    -2.39   0.017    -.1425481   -.0139339
          8  |  -.0751912   .0308929    -2.43   0.015    -.1359686   -.0144138
          9  |  -.0939691   .0290944    -3.23   0.001    -.1512081     -.03673
         10  |  -.0877899   .0293871    -2.99   0.003    -.1456049   -.0299749
         11  |  -.0803857   .0355129    -2.26   0.024    -.1502522   -.0105191
         12  |  -.0773055   .0317199    -2.44   0.015    -.1397099   -.0149011
         13  |  -.0804644   .0373139    -2.16   0.032    -.1538742   -.0070546
             |
       _cons |   .3813503   .0354789    10.75   0.000     .3115505    .4511501
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         780           0        780        780

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,320    .3059911    .4912773          0   3.262896
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    316
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9496
                                                    Adj R-squared     = 0.9326
                                                    Root MSE          = 0.1293

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.059965   .0240027    -2.50   0.013    -.1071869   -.0127431
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0265934   .0512593     0.52   0.604     -.074252    .1274388
          4  |  -.0247488   .0190422    -1.30   0.195    -.0622116     .012714
          5  |  -.0299825   .0120013    -2.50   0.013    -.0535935   -.0063716
          6  |  -.0356449   .0372821    -0.96   0.340    -.1089923    .0377025
          7  |  -.0327008   .0270421    -1.21   0.227    -.0859023    .0205008
          8  |          0  (empty)
          9  |   -.044925   .0362706    -1.24   0.216    -.1162823    .0264322
         10  |  -.0482664   .0300113    -1.61   0.109    -.1073094    .0107767
         11  |  -.0109679    .045598    -0.24   0.810    -.1006754    .0787396
         12  |   .0830708   .0177018     4.69   0.000      .048245    .1178967
             |
  year_group |
          5  |  -.2977598   7.40e-08 -4.0e+06   0.000    -.2977599   -.2977596
          6  |  -.7986633   .2009284    -3.97   0.000    -1.193962   -.4033651
          7  |  -.9248285   .1677939    -5.51   0.000    -1.254939   -.5947177
          8  |  -.8888549   .1634368    -5.44   0.000    -1.210394   -.5673161
          9  |  -.8951298   .1611963    -5.55   0.000    -1.212261   -.5779989
         10  |  -.8828047   .1583123    -5.58   0.000    -1.194262   -.5713476
         11  |  -.8579289   .1605886    -5.34   0.000    -1.173864   -.5419937
         12  |  -.8631006   .1609415    -5.36   0.000     -1.17973   -.5464708
         13  |  -.8682003    .162652    -5.34   0.000    -1.188195   -.5482054
             |
       _cons |   1.225508    .159517     7.68   0.000     .9116808    1.539335
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         780           0        780        780

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,320    .2888845    .4728625          0   3.363813
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    316
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8213
                                                    Adj R-squared     = 0.7607
                                                    Root MSE          = 0.2537

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0562611   .0479666     1.17   0.242    -.0381064    .1506287
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0134421   .0581853     0.23   0.817    -.1010292    .1279134
          4  |   .1179955    .043204     2.73   0.007     .0329979    .2029932
          5  |   .1444255   .0239833     6.02   0.000     .0972417    .1916092
          6  |   .1754326   .0657385     2.67   0.008     .0461015    .3047637
          7  |   .0252394   .0543219     0.46   0.643    -.0816313      .13211
          8  |          0  (empty)
          9  |   .1953201   .0647199     3.02   0.003     .0679929    .3226474
         10  |   .0231786   .0830551     0.28   0.780    -.1402205    .1865778
         11  |   .2024165   .0631215     3.21   0.001     .0782339    .3265992
         12  |   .0318647   .0506858     0.63   0.530    -.0678524    .1315818
             |
  year_group |
          5  |  -.1532844          .        .       .            .           .
          6  |    .202369   .1397531     1.45   0.149    -.0725755    .4773134
          7  |  -.0286963   .0933541    -0.31   0.759    -.2123573    .1549646
          8  |  -.1232864   .0506892    -2.43   0.016    -.2230102   -.0235627
          9  |  -.1418151   .0397509    -3.57   0.000    -.2200194   -.0636108
         10  |  -.0307225   .0437377    -0.70   0.483    -.1167703    .0553253
         11  |  -.0664216   .0530624    -1.25   0.212    -.1708143    .0379712
         12  |  -.0211277   .0502631    -0.42   0.675    -.1200131    .0777578
         13  |  -.0110191   .0578906    -0.19   0.849    -.1249106    .1028724
             |
       _cons |   .2697531    .060458     4.46   0.000     .1508105    .3886957
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         780           0        780        780

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,320    .3279501    .4983608          0   2.998335

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(16, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7694
                                                    Adj R-squared     = 0.6966
                                                    Root MSE          = 0.2222

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0423604   .0450453    -0.94   0.348    -.1309757    .0462548
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1070981   .1099145    -0.97   0.331    -.3233269    .1091306
          4  |   .0186703   .0381054     0.49   0.624    -.0562923     .093633
          5  |  -.0141394   .0586812    -0.24   0.810    -.1295796    .1013009
          6  |   .0553664     .06854     0.81   0.420    -.0794685    .1902013
          7  |          0  (empty)
          8  |   .1331408   .0875465     1.52   0.129    -.0390846    .3053661
          9  |   -.008859   .0568178    -0.16   0.876    -.1206335    .1029155
         10  |          0  (empty)
         11  |   .1127573    .061784     1.83   0.069    -.0087871    .2343016
         12  |   .0560645   .0490731     1.14   0.254    -.0404743    .1526033
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1332615   .1404565    -0.95   0.343    -.4095739     .143051
          7  |  -.0182994   .1229394    -0.15   0.882    -.2601514    .2235525
          8  |  -.0041749   .0808489    -0.05   0.959    -.1632245    .1548748
          9  |   .0667251   .0757505     0.88   0.379    -.0822946    .2157449
         10  |   .1950486   .0805213     2.42   0.016     .0366436    .3534536
         11  |   .2078099   .0849708     2.45   0.015     .0406515    .3749683
         12  |   .2386628   .0865505     2.76   0.006     .0683968    .4089289
         13  |   .1950072   .1011857     1.93   0.055    -.0040499    .3940644
             |
       _cons |   .0732474   .0875523     0.84   0.403    -.0989894    .2454842
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,294    .2276562    .3932949          0   2.210172
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(16, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8388
                                                    Adj R-squared     = 0.7880
                                                    Root MSE          = 0.2170

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0234144   .0611867     0.38   0.702    -.0969547    .1437836
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1421523   .1028605    -1.38   0.168    -.3445041    .0601995
          4  |   .0860697   .0339656     2.53   0.012     .0192511    .1528883
          5  |   .0396548   .0499852     0.79   0.428    -.0586783    .1379879
          6  |   .0287662   .0481521     0.60   0.551    -.0659609    .1234932
          7  |          0  (empty)
          8  |   .0339724   .0615921     0.55   0.582    -.0871943    .1551391
          9  |   .0601963    .038665     1.56   0.120    -.0158672    .1362598
         10  |          0  (empty)
         11  |   .0591522   .0485592     1.22   0.224    -.0363757    .1546801
         12  |   .0595979   .0459604     1.30   0.196    -.0308175    .1500134
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3440283   .1461124    -2.35   0.019    -.6314672   -.0565894
          7  |  -.4089815   .1024918    -3.99   0.000    -.6106079   -.2073551
          8  |  -.2902599   .0931946    -3.11   0.002    -.4735965   -.1069234
          9  |    -.26524   .0939266    -2.82   0.005    -.4500167   -.0804634
         10  |  -.1890199    .092727    -2.04   0.042    -.3714367   -.0066031
         11  |  -.1494756   .0989341    -1.51   0.132    -.3441032     .045152
         12  |   -.186532   .0985292    -1.89   0.059     -.380363     .007299
         13  |  -.0644084   .1154613    -0.56   0.577    -.2915491    .1627324
             |
       _cons |    .400086   .1053296     3.80   0.000     .1928769    .6072951
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,294    .2517541    .4448429          0   3.337069
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(16, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7565
                                                    Adj R-squared     = 0.6797
                                                    Root MSE          = 0.1832

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0276194   .0330021    -0.84   0.403    -.0925426    .0373038
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1078794   .0726438     1.49   0.138    -.0350288    .2507875
          4  |   .0014103   .0187735     0.08   0.940    -.0355218    .0383424
          5  |  -.0518333   .0269975    -1.92   0.056    -.1049441    .0012775
          6  |  -.0513228   .0363624    -1.41   0.159    -.1228565    .0202109
          7  |          0  (empty)
          8  |   -.053846    .036726    -1.47   0.144    -.1260951    .0184031
          9  |  -.0001555   .0377482    -0.00   0.997    -.0744155    .0741045
         10  |          0  (empty)
         11  |  -.0271681   .0323137    -0.84   0.401    -.0907372    .0364009
         12  |   .0196398   .0342773     0.57   0.567    -.0477921    .0870718
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1105947   .1433562    -0.77   0.441    -.3926115    .1714222
          7  |  -.1352175   .1290671    -1.05   0.296     -.389124    .1186891
          8  |  -.0982262   .1270389    -0.77   0.440    -.3481429    .1516904
          9  |  -.1698591   .1255668    -1.35   0.177    -.4168797    .0771615
         10  |  -.1392584   .1250647    -1.11   0.266    -.3852914    .1067745
         11  |  -.1378481    .125476    -1.10   0.273    -.3846901    .1089939
         12  |  -.1359588   .1267516    -1.07   0.284    -.3853102    .1133926
         13  |  -.1285098   .1266565    -1.01   0.311    -.3776742    .1206545
             |
       _cons |    .374295   .1264685     2.96   0.003     .1255004    .6230896
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,294    .2226942    .3314389          0    2.28244
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(16, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6220
                                                    Adj R-squared     = 0.5028
                                                    Root MSE          = 0.1585

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0102962   .0251099    -0.41   0.682    -.0596936    .0391012
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0782105   .0637583    -1.23   0.221    -.2036387    .0472176
          4  |   .0545616   .0175229     3.11   0.002     .0200899    .0890334
          5  |   .0487936   .0280193     1.74   0.083    -.0063272    .1039145
          6  |   .0419904   .0254966     1.65   0.101    -.0081676    .0921484
          7  |          0  (empty)
          8  |  -.0476594   .0407351    -1.17   0.243    -.1277953    .0324764
          9  |  -.0302969   .0291906    -1.04   0.300     -.087722    .0271282
         10  |          0  (empty)
         11  |   .0655425   .0282457     2.32   0.021     .0099764    .1211087
         12  |   -.051153   .0316527    -1.62   0.107    -.1134215    .0111156
             |
  year_group |
          5  |          0  (empty)
          6  |   .1229264   .0744417     1.65   0.100    -.0235187    .2693714
          7  |   .1470263    .080653     1.82   0.069    -.0116379    .3056904
          8  |   .0656285   .0738904     0.89   0.375     -.079732    .2109889
          9  |   .0538161   .0733918     0.73   0.464    -.0905635    .1981957
         10  |   .0430245   .0745151     0.58   0.564     -.103565     .189614
         11  |   .0763274   .0749905     1.02   0.310    -.0711974    .2238522
         12  |   .0491441   .0758655     0.65   0.518    -.1001019    .1983901
         13  |   .0420924   .0769033     0.55   0.585    -.1091952      .19338
             |
       _cons |   .0320438   .0765859     0.42   0.676    -.1186194    .1827069
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,294    .1117639    .2309282          0   2.004748
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(16, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7508
                                                    Adj R-squared     = 0.6722
                                                    Root MSE          = 0.2605

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0344541   .0466451     0.74   0.461    -.0573083    .1262165
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1372928   .1148415     1.20   0.233    -.0886287    .3632142
          4  |  -.0682697   .0344957    -1.98   0.049    -.1361311   -.0004082
          5  |   -.057495   .0572931    -1.00   0.316    -.1702046    .0552147
          6  |  -.1574693   .0593105    -2.65   0.008    -.2741476    -.040791
          7  |          0  (empty)
          8  |   -.062862   .0672459    -0.93   0.351    -.1951513    .0694272
          9  |  -.0024457   .0670798    -0.04   0.971    -.1344081    .1295167
         10  |          0  (empty)
         11  |   -.142833   .0472607    -3.02   0.003    -.2358065   -.0498596
         12  |   .0806095   .0602243     1.34   0.182    -.0378664    .1990855
             |
  year_group |
          5  |          0  (empty)
          6  |    .363269   .2492295     1.46   0.146    -.1270265    .8535645
          7  |   .0555566   .1863417     0.30   0.766    -.3110232    .4221364
          8  |   .1156342   .1517287     0.76   0.447    -.1828535    .4141218
          9  |   .1739288   .1436291     1.21   0.227    -.1086249    .4564824
         10  |   .1488038   .1467345     1.01   0.311    -.1398589    .4374665
         11  |   .0115919   .1496511     0.08   0.938    -.2828084    .3059923
         12  |    .012519   .1502067     0.08   0.934    -.2829744    .3080124
         13  |   .0307652   .1510304     0.20   0.839    -.2663486    .3278789
             |
       _cons |   .1881638   .1476077     1.27   0.203    -.1022167    .4785444
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,294    .2462442     .462405          0   3.788554
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(16, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9703
                                                    Adj R-squared     = 0.9609
                                                    Root MSE          = 0.0997

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0060308   .0162464     0.37   0.711    -.0259298    .0379914
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0034504   .0282447     0.12   0.903    -.0521138    .0590146
          4  |    .027011   .0186317     1.45   0.148    -.0096422    .0636642
          5  |   .0166296   .0201113     0.83   0.409    -.0229343    .0561935
          6  |   .0502483   .0488766     1.03   0.305     -.045904    .1464006
          7  |          0  (empty)
          8  |  -.0056152    .033436    -0.17   0.867     -.071392    .0601617
          9  |   .0471965   .0202226     2.33   0.020     .0074137    .0869793
         10  |          0  (empty)
         11  |   .0470161    .029353     1.60   0.110    -.0107283    .1047606
         12  |    .013619   .0118065     1.15   0.250    -.0096072    .0368452
             |
  year_group |
          5  |          0  (empty)
          6  |   .0452854   .0796182     0.57   0.570    -.1113431    .2019139
          7  |  -.0259944   .0528729    -0.49   0.623    -.1300083    .0780196
          8  |  -.0294511   .0464565    -0.63   0.527    -.1208425    .0619403
          9  |  -.0358111    .046038    -0.78   0.437    -.1263791    .0547569
         10  |  -.0505092   .0464274    -1.09   0.277    -.1418433    .0408249
         11  |  -.0253481   .0502545    -0.50   0.614    -.1242111    .0735148
         12  |  -.0308554   .0514547    -0.60   0.549    -.1320795    .0703687
         13  |  -.0141909   .0516663    -0.27   0.784    -.1158313    .0874494
             |
       _cons |   .3230544   .0507715     6.36   0.000     .2231744    .4229345
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,294    .2958947     .481112          0   2.188336
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(16, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9448
                                                    Adj R-squared     = 0.9274
                                                    Root MSE          = 0.1293

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0535615   .0270176    -1.98   0.048    -.1067117   -.0004112
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .130639    .080742     1.62   0.107    -.0282002    .2894783
          4  |   .0039373   .0165777     0.24   0.812    -.0286751    .0365497
          5  |  -.0143684   .0237013    -0.61   0.545    -.0609946    .0322578
          6  |  -.0033934   .0266129    -0.13   0.899    -.0557474    .0489606
          7  |          0  (empty)
          8  |  -.0203023   .0297282    -0.68   0.495    -.0787849    .0381803
          9  |   .0095178   .0280983     0.34   0.735    -.0457584    .0647941
         10  |          0  (empty)
         11  |   .0112779   .0346047     0.33   0.745    -.0567981    .0793539
         12  |   .0573468   .0267533     2.14   0.033     .0047164    .1099771
             |
  year_group |
          5  |          0  (empty)
          6  |  -.6222574   .1295093    -4.80   0.000    -.8770339   -.3674808
          7  |  -.7568329   .1350663    -5.60   0.000    -1.022541   -.4911245
          8  |  -.6953625   .1289474    -5.39   0.000    -.9490336   -.4416914
          9  |  -.6959995   .1279424    -5.44   0.000    -.9476936   -.4443053
         10  |  -.6807333   .1253602    -5.43   0.000    -.9273476   -.4341189
         11  |   -.676796   .1264626    -5.35   0.000    -.9255789   -.4280131
         12  |  -.6672485   .1271476    -5.25   0.000    -.9173791   -.4171179
         13  |  -.6757783   .1281064    -5.28   0.000     -.927795   -.4237615
             |
       _cons |   .9921144   .1269822     7.81   0.000     .7423093    1.241919
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,294     .279992    .4574071          0   1.962417
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(16, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7870
                                                    Adj R-squared     = 0.7198
                                                    Root MSE          = 0.2622

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0385854   .0462141     0.83   0.404    -.0523291       .1295
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0657722     .13047     0.50   0.615    -.1908942    .3224387
          4  |   .1103555   .0346321     3.19   0.002     .0422257    .1784854
          5  |   .1180898   .0559198     2.11   0.035     .0080819    .2280976
          6  |   .1649113   .0565198     2.92   0.004     .0537229    .2760996
          7  |          0  (empty)
          8  |   .0664035   .0694413     0.96   0.340    -.0702045    .2030115
          9  |   .2468493   .0695696     3.55   0.000     .1099889    .3837098
         10  |          0  (empty)
         11  |   .2502714   .0580183     4.31   0.000     .1361353    .3644075
         12  |   .1627876    .041918     3.88   0.000     .0803246    .2452506
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1061745    .123718    -0.86   0.391    -.3495582    .1372091
          7  |  -.2266856   .1340312    -1.69   0.092    -.4903578    .0369866
          8  |  -.1708712   .1063063    -1.61   0.109    -.3800017    .0382593
          9  |  -.1331938   .0945219    -1.41   0.160    -.3191415    .0527539
         10  |  -.1213334   .0974289    -1.25   0.214    -.3129999     .070333
         11  |  -.1009703   .1020974    -0.99   0.323    -.3018209    .0998804
         12  |  -.0990442   .1030304    -0.96   0.337    -.3017302    .1036417
         13  |  -.0216544   .1053642    -0.21   0.837    -.2289316    .1856227
             |
       _cons |   .2907612   .1066703     2.73   0.007     .0809146    .5006079
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,294     .322454    .4861942          0   2.780863

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(702 missing values generated)
(702 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,288
Absorbed variable: factor_pair                      No. of categories =    318
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7767
                                                    Adj R-squared     = 0.6978
                                                    Root MSE          = 0.2196

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0020059   .0557541     0.04   0.971    -.1076824    .1116941
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0214205   .1417372    -0.15   0.880    -.3002684    .2574275
          4  |   .1712804    .049124     3.49   0.001     .0746359    .2679249
          5  |   .0883708   .0416256     2.12   0.035     .0064784    .1702633
          6  |   .1810537   .0543276     3.33   0.001     .0741718    .2879357
          7  |   .1875925    .058553     3.20   0.001     .0723978    .3027873
          8  |          0  (empty)
          9  |    .057625   .0566355     1.02   0.310    -.0537973    .1690474
         10  |   .2106427   .0780162     2.70   0.007     .0571568    .3641286
         11  |   .2364516   .0530356     4.46   0.000     .1321114    .3407917
         12  |   .0457307    .053739     0.85   0.395    -.0599931    .1514546
             |
  year_group |
          5  |   .0469399   8.49e-08  5.5e+05   0.000     .0469397    .0469401
          6  |  -.0547425   .1873827    -0.29   0.770    -.4233914    .3139064
          7  |   .2546098   .1293309     1.97   0.050     .0001696      .50905
          8  |   .1958523     .11021     1.78   0.076    -.0209703    .4126748
          9  |   .2328762   .1158543     2.01   0.045     .0049491    .4608032
         10  |   .2796101     .11021     2.54   0.012     .0627876    .4964327
         11  |   .3080505   .1210247     2.55   0.011     .0699515    .5461495
         12  |   .3044618   .1175056     2.59   0.010     .0732861    .5356374
         13  |   .3146608   .1180273     2.67   0.008     .0824587    .5468629
             |
       _cons |   -.174629   .1179322    -1.48   0.140    -.4066439    .0573859
------------------------------------------------------------------------------
(702 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,288         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,288    .2208467    .4023583          0   3.186718
(702 missing values generated)
(702 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,288
Absorbed variable: factor_pair                      No. of categories =    318
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8151
                                                    Adj R-squared     = 0.7498
                                                    Root MSE          = 0.2321

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0150837   .0650688     0.23   0.817      -.11293    .1430973
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1227105   .1120218    -1.10   0.274    -.3430975    .0976766
          4  |   .1298679   .0353759     3.67   0.000     .0602707     .199465
          5  |   .0823468   .0400172     2.06   0.040     .0036187    .1610749
          6  |   .0919908   .0424924     2.16   0.031     .0083931    .1755885
          7  |   .1600587   .0385966     4.15   0.000     .0841253    .2359922
          8  |          0  (empty)
          9  |    .088371   .0372822     2.37   0.018     .0150236    .1617184
         10  |   .1331925    .052859     2.52   0.012     .0291999    .2371851
         11  |   .1212187    .038949     3.11   0.002      .044592    .1978453
         12  |   .0479069   .0451659     1.06   0.290    -.0409507    .1367645
             |
  year_group |
          5  |  -.5583173   2.21e-07 -2.5e+06   0.000    -.5583177   -.5583168
          6  |  -.6097226   .0904571    -6.74   0.000    -.7876842    -.431761
          7  |  -.5382512   .0847038    -6.35   0.000     -.704894   -.3716084
          8  |  -.4660616   .0774744    -6.02   0.000    -.6184816   -.3136417
          9  |  -.4462192     .07936    -5.62   0.000    -.6023489   -.2900896
         10  |  -.3714143   .0774744    -4.79   0.000    -.5238342   -.2189944
         11  |  -.3150329   .0911878    -3.45   0.001     -.494432   -.1356337
         12  |  -.3863243   .0851424    -4.54   0.000      -.55383   -.2188187
         13  |  -.3619521    .103186    -3.51   0.001    -.5649559   -.1589484
             |
       _cons |   .5592437   .0938234     5.96   0.000     .3746594    .7438279
------------------------------------------------------------------------------
(702 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,288         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,288    .2577742    .4614158          0    4.15313
(702 missing values generated)
(702 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,288
Absorbed variable: factor_pair                      No. of categories =    318
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7612
                                                    Adj R-squared     = 0.6768
                                                    Root MSE          = 0.1842

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .025942   .0387247     0.67   0.503    -.0502434    .1021273
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0440334   .0903493    -0.49   0.626    -.2217829    .1337161
          4  |   .0503899   .0325397     1.55   0.122    -.0136273    .1144071
          5  |   .0272165   .0331843     0.82   0.413     -.038069    .0925019
          6  |   .0495809    .037403     1.33   0.186    -.0240041     .123166
          7  |  -.0072312   .0297256    -0.24   0.808    -.0657121    .0512497
          8  |          0  (empty)
          9  |   .0805136   .0453021     1.78   0.076     -.008612    .1696391
         10  |   .0991727   .0464948     2.13   0.034     .0077008    .1906445
         11  |   .0853912   .0380321     2.25   0.025     .0105685    .1602139
         12  |  -.0291292    .059722    -0.49   0.626    -.1466237    .0883653
             |
  year_group |
          5  |   .1948535          .        .       .            .           .
          6  |  -.2022908   .0415047    -4.87   0.000    -.2839454   -.1206362
          7  |  -.2619845   .0403166    -6.50   0.000    -.3413017   -.1826672
          8  |  -.2584014   .0160497   -16.10   0.000    -.2899768   -.2268259
          9  |  -.2761792   .0296909    -9.30   0.000    -.3345918   -.2177667
         10  |  -.2619337   .0160497   -16.32   0.000    -.2935091   -.2303583
         11  |  -.2653699   .0258392   -10.27   0.000    -.3162049   -.2145349
         12  |  -.2525937   .0311938    -8.10   0.000     -.313963   -.1912243
         13  |  -.2536243   .0255734    -9.92   0.000    -.3039364   -.2033122
             |
       _cons |     .42318   .0319644    13.24   0.000     .3602947    .4860654
------------------------------------------------------------------------------
(702 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,288         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,288    .2196252    .3436342          0   2.580662
(702 missing values generated)
(702 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,288
Absorbed variable: factor_pair                      No. of categories =    318
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6350
                                                    Adj R-squared     = 0.5061
                                                    Root MSE          = 0.1641

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0136585   .0255458     0.53   0.593    -.0365993    .0639163
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1421064   .0530129    -2.68   0.008    -.2464018    -.037811
          4  |   .0690995   .0308899     2.24   0.026      .008328     .129871
          5  |   .0917322    .023566     3.89   0.000     .0453695     .138095
          6  |   .1084583    .051099     2.12   0.035     .0079283    .2089883
          7  |  -.0392915   .0397885    -0.99   0.324    -.1175698    .0389868
          8  |          0  (empty)
          9  |   .0094519   .0350917     0.27   0.788    -.0595861      .07849
         10  |  -.0071764   .0412731    -0.17   0.862    -.0883755    .0740227
         11  |   .1064641    .041109     2.59   0.010     .0255879    .1873403
         12  |   -.103445    .043088    -2.40   0.017    -.1882145   -.0186754
             |
  year_group |
          5  |   .4584619   5.95e-08  7.7e+06   0.000     .4584617     .458462
          6  |  -.0968365   .1685976    -0.57   0.566    -.4285285    .2348555
          7  |  -.1895111   .1680978    -1.13   0.260    -.5202198    .1411976
          8  |   -.215196   .1647697    -1.31   0.192     -.539357    .1089651
          9  |    -.21729    .165625    -1.31   0.190    -.5431338    .1085537
         10  |  -.2088613   .1647697    -1.27   0.206    -.5330223    .1152998
         11  |  -.1534161   .1664555    -0.92   0.357    -.4808937    .1740615
         12  |  -.1754884   .1660195    -1.06   0.291    -.5021082    .1511314
         13  |  -.1874853   .1662405    -1.13   0.260      -.51454    .1395693
             |
       _cons |   .2543089   .1653102     1.54   0.125    -.0709154    .5795333
------------------------------------------------------------------------------
(702 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,288         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,288    .1063962    .2312792          0   2.336715
(702 missing values generated)
(702 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,288
Absorbed variable: factor_pair                      No. of categories =    318
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7549
                                                    Adj R-squared     = 0.6682
                                                    Root MSE          = 0.2723

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0589263   .0516754     1.14   0.255    -.0427376    .1605903
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2255168   .0854902     2.64   0.009      .057327    .3937067
          4  |   .1137087   .0603225     1.89   0.060    -.0049674    .2323847
          5  |   .1009263    .049698     2.03   0.043     .0031524    .1987001
          6  |  -.0389163   .0922515    -0.42   0.673    -.2204081    .1425754
          7  |   .0639686   .0567646     1.13   0.261    -.0477078     .175645
          8  |          0  (empty)
          9  |    .265412   .1054235     2.52   0.012     .0580061    .4728178
         10  |   .0704059   .0800179     0.88   0.380     -.087018    .2278299
         11  |    .066637   .0704816     0.95   0.345    -.0720255    .2052995
         12  |   .1082441   .0516359     2.10   0.037     .0066577    .2098304
             |
  year_group |
          5  |  -.0543408          .        .       .            .           .
          6  |   .7857503   .3674698     2.14   0.033     .0628055    1.508695
          7  |   .2347958   .1093684     2.15   0.033     .0196289    .4499626
          8  |   .2363777   .0605556     3.90   0.000     .1172432    .3555122
          9  |   .2126306   .0712868     2.98   0.003      .072384    .3528772
         10  |   .2189623   .0605556     3.62   0.000     .0998278    .3380968
         11  |   .0623455   .0714702     0.87   0.384     -.078262     .202953
         12  |    .030454   .0708338     0.43   0.668    -.1089015    .1698095
         13  |   .0702883   .0733994     0.96   0.339    -.0741146    .2146913
             |
       _cons |   .0023159   .0752281     0.03   0.975    -.1456848    .1503166
------------------------------------------------------------------------------
(702 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,288         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,288    .2693225    .4857042          0   3.886046
(702 missing values generated)
(702 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,288
Absorbed variable: factor_pair                      No. of categories =    318
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9765
                                                    Adj R-squared     = 0.9682
                                                    Root MSE          = 0.0882

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0104716   .0195767    -0.53   0.593     -.048986    .0280427
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .007293   .0201547     0.36   0.718    -.0323586    .0469446
          4  |  -.0021852   .0172786    -0.13   0.899    -.0361784     .031808
          5  |  -.0171562   .0179185    -0.96   0.339    -.0524083    .0180959
          6  |   .0014239   .0385408     0.04   0.971    -.0743996    .0772475
          7  |  -.0486792   .0236447    -2.06   0.040    -.0951967   -.0021616
          8  |          0  (empty)
          9  |   .0305453   .0243801     1.25   0.211     -.017419    .0785097
         10  |  -.0358816   .0259111    -1.38   0.167    -.0868579    .0150948
         11  |  -.0073161    .019708    -0.37   0.711    -.0460888    .0314565
         12  |   .0062742   .0158224     0.40   0.692    -.0248541    .0374025
             |
  year_group |
          5  |  -.1840469          .        .       .            .           .
          6  |  -.0798206    .045144    -1.77   0.078     -.168635    .0089938
          7  |  -.0571491   .0417394    -1.37   0.172    -.1392655    .0249674
          8  |  -.0420373   .0354422    -1.19   0.236    -.1117648    .0276902
          9  |  -.0600823   .0383409    -1.57   0.118    -.1355126     .015348
         10  |  -.0720027   .0354422    -2.03   0.043    -.1417302   -.0022751
         11  |  -.0721055   .0402622    -1.79   0.074    -.1513158    .0071047
         12  |  -.0773687   .0376655    -2.05   0.041    -.1514702   -.0032671
         13  |  -.0670561   .0403458    -1.66   0.097    -.1464308    .0123185
             |
       _cons |   .3876406   .0390165     9.94   0.000     .3108812       .4644
------------------------------------------------------------------------------
(702 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,288         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,288    .3012368    .4858374          0   3.084929
(702 missing values generated)
(702 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,288
Absorbed variable: factor_pair                      No. of categories =    318
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9408
                                                    Adj R-squared     = 0.9198
                                                    Root MSE          = 0.1346

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0403421   .0298809    -1.35   0.178    -.0991284    .0184443
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1838052   .0919597     2.00   0.046     .0028875    .3647229
          4  |  -.0033514   .0278913    -0.12   0.904    -.0582235    .0515207
          5  |  -.0171294   .0242705    -0.71   0.481    -.0648782    .0306195
          6  |  -.0057351   .0333603    -0.17   0.864    -.0713668    .0598967
          7  |   .0098316   .0271422     0.36   0.717    -.0435668    .0632299
          8  |          0  (empty)
          9  |  -.0004097   .0303321    -0.01   0.989    -.0600838    .0592644
         10  |  -.0442064   .0347126    -1.27   0.204    -.1124984    .0240857
         11  |  -.0145455   .0417641    -0.35   0.728    -.0967105    .0676195
         12  |   .0564236   .0398443     1.42   0.158    -.0219645    .1348117
             |
  year_group |
          5  |  -.3575618          .        .       .            .           .
          6  |  -.8476034   .1331685    -6.36   0.000    -1.109594   -.5856133
          7  |  -.8368816    .132808    -6.30   0.000    -1.098163   -.5756006
          8  |  -.8235912   .1286579    -6.40   0.000    -1.076707   -.5704749
          9  |  -.8343799   .1292887    -6.45   0.000    -1.088737   -.5800227
         10  |   -.849454   .1286579    -6.60   0.000     -1.10257   -.5963378
         11  |  -.8095023   .1296884    -6.24   0.000    -1.064646   -.5543588
         12  |   -.789245   .1304312    -6.05   0.000     -1.04585   -.5326399
         13  |  -.7867154   .1308312    -6.01   0.000    -1.044107   -.5293234
             |
       _cons |   1.121458   .1304049     8.60   0.000     .8649052    1.378012
------------------------------------------------------------------------------
(702 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,288         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,288    .2853565    .4704025          0   3.228866
(702 missing values generated)
(702 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,288
Absorbed variable: factor_pair                      No. of categories =    318
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7754
                                                    Adj R-squared     = 0.6961
                                                    Root MSE          = 0.2731

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0127914   .0550346     0.23   0.816    -.0954815    .1210643
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1356616   .0706994     1.92   0.056    -.0034296    .2747527
          4  |   .0618754   .0540959     1.14   0.254    -.0445507    .1683014
          5  |  -.0052746    .048364    -0.11   0.913    -.1004239    .0898746
          6  |   .1191645    .090614     1.32   0.189    -.0591058    .2974348
          7  |  -.1026719    .064064    -1.60   0.110    -.2287088    .0233649
          8  |          0  (empty)
          9  |    .220447   .0846981     2.60   0.010     .0538155    .3870786
         10  |   .0291548   .0832811     0.35   0.727    -.1346889    .1929986
         11  |   .1051259   .0733826     1.43   0.153    -.0392439    .2494957
         12  |   .2164895   .0485434     4.46   0.000     .1209872    .3119917
             |
  year_group |
          5  |   .0527123          .        .       .            .           .
          6  |     .05474   .2650788     0.21   0.837     -.466765    .5762451
          7  |   .0242371   .2008506     0.12   0.904    -.3709081    .4193823
          8  |  -.0328691   .1846791    -0.18   0.859    -.3961991    .3304608
          9  |  -.0749306   .1861034    -0.40   0.687    -.4410627    .2912016
         10  |  -.0307326   .1846791    -0.17   0.868    -.3940626    .3325973
         11  |  -.1111752   .1891227    -0.59   0.557    -.4832474     .260897
         12  |  -.1127227    .188155    -0.60   0.550     -.482891    .2574456
         13  |  -.0515685   .1891227    -0.27   0.785    -.4236406    .3205037
             |
       _cons |    .312095   .1914182     1.63   0.104    -.0644932    .6886832
------------------------------------------------------------------------------
(702 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,288         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,288    .3256035    .4935026          0   2.492431

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(686 missing values generated)
(686 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,304
Absorbed variable: factor_pair                    No. of categories =      307
                                                  F(17, 317)        = 2.95e+09
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7424
                                                  Adj R-squared     =   0.6575
                                                  Root MSE          =   0.2590

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0480267   .0584445    -0.82   0.412    -.1630148    .0669615
             |
 scale_group |
          2  |   .1420621   .1171051     1.21   0.226    -.0883393    .3724634
          3  |          0  (omitted)
          4  |  -.0313422   .1064985    -0.29   0.769    -.2408755     .178191
          5  |  -.1156928   .1092205    -1.06   0.290    -.3305814    .0991959
          6  |  -.0117471   .1201324    -0.10   0.922    -.2481047    .2246105
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.1136613   .1144873    -0.99   0.322    -.3389122    .1115897
         10  |          0  (omitted)
         11  |   .0983758   .1011457     0.97   0.331    -.1006258    .2973775
         12  |    .148956   .1133015     1.31   0.190     -.073962     .371874
             |
  year_group |
          5  |   .0080286   3.58e-08  2.2e+05   0.000     .0080285    .0080287
          6  |  -.1486681   .1062829    -1.40   0.163    -.3577771    .0604409
          7  |   .0556908   .1152087     0.48   0.629    -.1709794    .2823611
          8  |   .0211183   .0642175     0.33   0.742     -.105228    .1474645
          9  |   .0634721   .0616204     1.03   0.304    -.0577644    .1847087
         10  |   .0934169   .0678027     1.38   0.169    -.0399832    .2268169
         11  |   .2244627   .0833265     2.69   0.007     .0605198    .3884056
         12  |   .2105551   .0747197     2.82   0.005     .0635458    .3575643
         13  |   .1583373   .0806417     1.96   0.050    -.0003232    .3169977
             |
       _cons |    .116639    .107602     1.08   0.279    -.0950652    .3283433
------------------------------------------------------------------------------
(686 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,304         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,304    .2320785    .4302754          0   4.050018
(686 missing values generated)
(686 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,304
Absorbed variable: factor_pair                    No. of categories =      307
                                                  F(17, 317)        = 5.75e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8426
                                                  Adj R-squared     =   0.7907
                                                  Root MSE          =   0.2260

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0690109   .0590895    -1.17   0.244    -.1852681    .0472463
             |
 scale_group |
          2  |   .1773431   .0754715     2.35   0.019     .0288547    .3258314
          3  |          0  (omitted)
          4  |  -.0139904   .0530834    -0.26   0.792    -.1184308    .0904499
          5  |  -.0264125   .0675517    -0.39   0.696    -.1593188    .1064939
          6  |  -.0595497   .0661639    -0.90   0.369    -.1897255    .0706262
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0038871   .0616285    -0.06   0.950    -.1251397    .1173656
         10  |          0  (omitted)
         11  |  -.0301319   .0673847    -0.45   0.655    -.1627096    .1024457
         12  |   .1675273   .0743146     2.25   0.025     .0213152    .3137395
             |
  year_group |
          5  |  -.3670208   3.71e-08 -9.9e+06   0.000    -.3670209   -.3670207
          6  |  -.2885809   .1248353    -2.31   0.021    -.5341914   -.0429704
          7  |  -.3182427   .0856763    -3.71   0.000    -.4868087   -.1496766
          8  |  -.2847627   .0780023    -3.65   0.000    -.4382304   -.1312951
          9  |   -.269717   .0775833    -3.48   0.001    -.4223602   -.1170738
         10  |  -.1717953   .0786017    -2.19   0.030    -.3264423   -.0171482
         11  |  -.1393707     .09151    -1.52   0.129    -.3194144     .040673
         12  |  -.1754594   .0882349    -1.99   0.048    -.3490595   -.0018593
         13  |  -.0360067   .1050485    -0.34   0.732     -.242687    .1706736
             |
       _cons |   .4774197   .0985083     4.85   0.000     .2836071    .6712323
------------------------------------------------------------------------------
(686 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,304         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,304    .2608926    .4619139          0   3.198667
(686 missing values generated)
(686 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,304
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7730
                                                    Adj R-squared     = 0.6981
                                                    Root MSE          = 0.2185

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0164953   .0434222    -0.38   0.704    -.1019274    .0689368
             |
 scale_group |
          2  |  -.2357913   .0972131    -2.43   0.016    -.4270557   -.0445268
          3  |          0  (omitted)
          4  |  -.0507953   .0493942    -1.03   0.305    -.1479772    .0463865
          5  |  -.1007545    .063833    -1.58   0.115    -.2263444    .0248353
          6  |  -.1247169   .0564676    -2.21   0.028    -.2358156   -.0136182
          7  |          0  (empty)
          8  |          0  (empty)
          9  |    .012927   .0685243     0.19   0.850    -.1218929    .1477469
         10  |          0  (omitted)
         11  |  -.0894002   .0557312    -1.60   0.110      -.19905    .0202496
         12  |  -.2173604    .079573    -2.73   0.007    -.3739183   -.0608024
             |
  year_group |
          5  |   .2593383          .        .       .            .           .
          6  |  -.0374515   .1042577    -0.36   0.720    -.2425759     .167673
          7  |   .0055721   .0715784     0.08   0.938    -.1352566    .1464008
          8  |   .0328361   .0648889     0.51   0.613    -.0948313    .1605035
          9  |  -.0521709   .0598894    -0.87   0.384    -.1700019      .06566
         10  |  -.0672236   .0596943    -1.13   0.261    -.1846708    .0502235
         11  |  -.0523259    .062852    -0.83   0.406    -.1759857    .0713338
         12  |  -.0254086     .07162    -0.35   0.723    -.1663193    .1155021
         13  |  -.0253694   .0670439    -0.38   0.705    -.1572767    .1065378
             |
       _cons |   .4073503   .0803203     5.07   0.000     .2493221    .5653784
------------------------------------------------------------------------------
(686 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,304         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,304    .2637845    .4023348          0   2.934609
(686 missing values generated)
(686 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,304
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5398
                                                    Adj R-squared     = 0.3881
                                                    Root MSE          = 0.1840

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0291139   .0300437    -0.97   0.333    -.0882243    .0299964
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0621902    .073462    -0.85   0.398     -.206725    .0823446
          4  |   .1073718   .0368469     2.91   0.004     .0348763    .1798672
          5  |   .1410622   .0470828     3.00   0.003     .0484279    .2336964
          6  |    .119457   .0418141     2.86   0.005     .0371887    .2017252
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0105943   .0583005     0.18   0.856    -.1041106    .1252991
         10  |          0  (omitted)
         11  |   .1095738   .0350823     3.12   0.002     .0405501    .1785974
         12  |  -.0341436   .0255602    -1.34   0.183    -.0844327    .0161456
             |
  year_group |
          5  |   .1640261          .        .       .            .           .
          6  |   .3574863   .0988076     3.62   0.000     .1630848    .5518878
          7  |   .2635966    .121936     2.16   0.031     .0236904    .5035027
          8  |   .1880935   .1138559     1.65   0.100    -.0359152    .4121023
          9  |   .1704858   .1139911     1.50   0.136    -.0537889    .3947606
         10  |    .180162   .1143782     1.58   0.116    -.0448743    .4051984
         11  |   .2237826   .1144563     1.96   0.051    -.0014073    .4489725
         12  |   .2101025   .1142557     1.84   0.067    -.0146927    .4348978
         13  |   .2046815   .1150792     1.78   0.076     -.021734     .431097
             |
       _cons |  -.1492187   .1158386    -1.29   0.199    -.3771283    .0786909
------------------------------------------------------------------------------
(686 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,304         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,304    .1099775    .2338091          0   2.350844
(686 missing values generated)
(686 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,304
Absorbed variable: factor_pair                    No. of categories =      307
                                                  F(17, 317)        = 2.26e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7852
                                                  Adj R-squared     =   0.7145
                                                  Root MSE          =   0.2537

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0237583   .0433095     0.55   0.584    -.0614522    .1089687
             |
 scale_group |
          2  |  -.1005965   .1202844    -0.84   0.404    -.3372531    .1360601
          3  |          0  (omitted)
          4  |   .0735946   .0788193     0.93   0.351    -.0814805    .2286697
          5  |   .1724185   .0826743     2.09   0.038     .0097589    .3350781
          6  |  -.0745259   .0884172    -0.84   0.400    -.2484846    .0994328
          7  |          0  (empty)
          8  |          0  (empty)
          9  |    .106431   .0982919     1.08   0.280    -.0869559    .2998178
         10  |          0  (omitted)
         11  |   -.031212   .0706606    -0.44   0.659     -.170235    .1078111
         12  |  -.0211816   .1030085    -0.21   0.837    -.2238483     .181485
             |
  year_group |
          5  |   .0569496   9.18e-08  6.2e+05   0.000     .0569494    .0569498
          6  |   .5029188   .2838769     1.77   0.077    -.0556021     1.06144
          7  |  -.0408345   .1260504    -0.32   0.746    -.2888355    .2071666
          8  |   .0118051   .1130063     0.10   0.917    -.2105321    .2341423
          9  |   .0468232   .1040475     0.45   0.653    -.1578878    .2515342
         10  |   .0271739   .1053712     0.26   0.797    -.1801414    .2344891
         11  |  -.0737262   .1116368    -0.66   0.509    -.2933689    .1459166
         12  |  -.0998194     .11346    -0.88   0.380    -.3230491    .1234103
         13  |  -.0276137    .113444    -0.24   0.808     -.250812    .1955846
             |
       _cons |   .2529429   .1230952     2.05   0.041     .0107562    .4951297
------------------------------------------------------------------------------
(686 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,304         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,304     .275513    .4751414          0   3.684536
(686 missing values generated)
(686 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,304
Absorbed variable: factor_pair                    No. of categories =      307
                                                  F(17, 317)        = 1.92e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9689
                                                  Adj R-squared     =   0.9587
                                                  Root MSE          =   0.1052

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0021574   .0198819     0.11   0.914    -.0369597    .0412746
             |
 scale_group |
          2  |  -.0272228   .0256254    -1.06   0.289    -.0776401    .0231946
          3  |          0  (omitted)
          4  |   .0541054   .0681864     0.79   0.428    -.0800497    .1882605
          5  |   .0507462   .0687446     0.74   0.461     -.084507    .1859995
          6  |    .081081   .0884034     0.92   0.360    -.0928506    .2550126
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0570303   .0753472     0.76   0.450    -.0912134     .205274
         10  |          0  (omitted)
         11  |   .0524638   .0846005     0.62   0.536    -.1139855    .2189132
         12  |  -.0029824   .0169044    -0.18   0.860    -.0362414    .0302765
             |
  year_group |
          5  |  -.1119324   1.96e-08 -5.7e+06   0.000    -.1119324   -.1119323
          6  |   .0359783   .0734822     0.49   0.625     -.108596    .1805527
          7  |  -.0527597   .0302704    -1.74   0.082     -.112316    .0067966
          8  |  -.0354112   .0265797    -1.33   0.184    -.0877061    .0168837
          9  |  -.0510028   .0265066    -1.92   0.055    -.1031539    .0011484
         10  |  -.0685308   .0273162    -2.51   0.013    -.1222747   -.0147868
         11  |   -.059088   .0327257    -1.81   0.072     -.123475    .0052991
         12  |  -.0595456    .033934    -1.75   0.080    -.1263099    .0072187
         13  |  -.0493076   .0346011    -1.43   0.155    -.1173845    .0187693
             |
       _cons |   .3590993   .0635615     5.65   0.000     .2340436     .484155
------------------------------------------------------------------------------
(686 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,304         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,304    .3107197    .4912767          0   3.079021
(686 missing values generated)
(686 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,304
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9531
                                                    Adj R-squared     = 0.9376
                                                    Root MSE          = 0.1270

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0075624   .0280803    -0.27   0.788    -.0628098     .047685
             |
 scale_group |
          2  |  -.0902307    .077085    -1.17   0.243    -.2418935    .0614321
          3  |          0  (omitted)
          4  |   .0011681   .0196412     0.06   0.953    -.0374756    .0398117
          5  |   .0067795   .0267204     0.25   0.800    -.0457922    .0593512
          6  |   .0159513   .0259978     0.61   0.540    -.0351988    .0671014
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0457515   .0308525    -1.48   0.139    -.1064531      .01495
         10  |          0  (omitted)
         11  |   .0347331    .024215     1.43   0.152    -.0129094    .0823755
         12  |  -.0719735   .0639097    -1.13   0.261    -.1977143    .0537674
             |
  year_group |
          5  |  -.2923622          .        .       .            .           .
          6  |  -.7640663   .1344334    -5.68   0.000    -1.028561   -.4995719
          7  |  -.8768675   .1495808    -5.86   0.000    -1.171164   -.5825709
          8  |  -.8468726   .1451214    -5.84   0.000    -1.132395   -.5613498
          9  |  -.8418784   .1455099    -5.79   0.000    -1.128166   -.5555912
         10  |  -.8476017   .1409688    -6.01   0.000    -1.124954   -.5702491
         11  |  -.8096688   .1434215    -5.65   0.000    -1.091847   -.5274905
         12  |  -.8237624   .1431703    -5.75   0.000    -1.105446   -.5420784
         13  |   -.803623   .1440561    -5.58   0.000     -1.08705    -.520196
             |
       _cons |   1.172835    .143114     8.20   0.000     .8912616    1.454408
------------------------------------------------------------------------------
(686 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,304         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,304    .3003585    .4884896          0   3.171039
(686 missing values generated)
(686 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,304
Absorbed variable: factor_pair                    No. of categories =      307
                                                  F(17, 317)        = 4.96e+11
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9139
                                                  Adj R-squared     =   0.8855
                                                  Root MSE          =   0.1611

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0032153   .0305526    -0.11   0.916    -.0633268    .0568962
             |
 scale_group |
          2  |  -.2006509   .1452306    -1.38   0.168    -.4863886    .0850868
          3  |          0  (omitted)
          4  |   .0668949   .0717052     0.93   0.352    -.0741833    .2079731
          5  |   .0856848   .0727689     1.18   0.240    -.0574862    .2288558
          6  |   .0634028   .0778805     0.81   0.416    -.0898252    .2166307
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0651406   .0762143     0.85   0.393    -.0848092    .2150905
         10  |          0  (omitted)
         11  |   .0337819   .0722987     0.47   0.641    -.1084641    .1760279
         12  |  -.1505359   .1406699    -1.07   0.285    -.4273004    .1262286
             |
  year_group |
          5  |  -.0851016   2.93e-08 -2.9e+06   0.000    -.0851017   -.0851016
          6  |   .2087273   .0782258     2.67   0.008     .0548199    .3626346
          7  |  -.0380997   .0552708    -0.69   0.491    -.1468437    .0706443
          8  |   -.061785     .04746    -1.30   0.194    -.1551614    .0315914
          9  |  -.0691845   .0398782    -1.73   0.084    -.1476439    .0092749
         10  |  -.0761721   .0420657    -1.81   0.071    -.1589354    .0065912
         11  |  -.0795346   .0439494    -1.81   0.071     -.166004    .0069349
         12  |  -.0955563    .047179    -2.03   0.044    -.1883799   -.0027326
         13  |  -.0519078   .0481419    -1.08   0.282    -.1466258    .0428101
             |
       _cons |   .3805188   .0816158     4.66   0.000     .2199417    .5410959
------------------------------------------------------------------------------
(686 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,304         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,304    .2970963    .4635448          0   2.228085

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(678 missing values generated)
(678 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,312
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(18, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7715
                                                    Adj R-squared     = 0.6949
                                                    Root MSE          = 0.2250

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0819831   .0468001    -1.75   0.081    -.1740514    .0100851
             |
 scale_group |
          2  |   .0969926   .0667875     1.45   0.147    -.0343963    .2283816
          3  |          0  (omitted)
          4  |   .1011179   .0319934     3.16   0.002     .0381783    .1640574
          5  |   .0116632   .0351762     0.33   0.740    -.0575378    .0808642
          6  |   .0807125   .0675944     1.19   0.233    -.0522639    .2136889
          7  |   .1669738   .0721264     2.32   0.021     .0250819    .3088656
          8  |   .1721791   .0721264     2.39   0.018     .0302872    .3140709
          9  |   .0314486    .061298     0.51   0.608     -.089141    .1520383
         10  |   .1049292    .084166     1.25   0.213    -.0606479    .2705062
         11  |   .2008339   .0549545     3.65   0.000     .0927237     .308944
         12  |   .1383673   .0774106     1.79   0.075    -.0139201    .2906547
             |
  year_group |
          5  |   .0286642    .004347     6.59   0.000     .0201124     .037216
          6  |  -.3252149   .2213707    -1.47   0.143    -.7607103    .1102805
          7  |   .0056915   .1145795     0.05   0.960    -.2197171    .2311001
          8  |   .0579197   .0864083     0.67   0.503    -.1120686     .227908
          9  |    .033693    .079923     0.42   0.674     -.123537     .190923
         10  |   .1261787   .0836108     1.51   0.132    -.0383062    .2906635
         11  |   .1511958   .0899359     1.68   0.094    -.0257322    .3281239
         12  |   .1927082   .0908827     2.12   0.035     .0139176    .3714988
         13  |   .1192001   .0958693     1.24   0.215    -.0694004    .3078007
             |
       _cons |   .0544898   .0851051     0.64   0.522    -.1129346    .2219142
------------------------------------------------------------------------------
(678 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,312         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,312    .2297654    .4162835          0   2.537349
(678 missing values generated)
(678 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,312
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8104
                                                    Adj R-squared     = 0.7469
                                                    Root MSE          = 0.2271

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0722802   .0580167     1.25   0.214    -.0418542    .1864147
             |
 scale_group |
          2  |  -.1344171   .0419132    -3.21   0.001    -.2168715   -.0519626
          3  |          0  (omitted)
          4  |   .1167021   .0300109     3.89   0.000     .0576627    .1757416
          5  |   .0509152   .0352774     1.44   0.150    -.0184849    .1203153
          6  |   .0448738   .0545613     0.82   0.411    -.0624629    .1522105
          7  |   .0445653   .0565747     0.79   0.431    -.0667322    .1558628
          8  |   .0445654   .0565747     0.79   0.431    -.0667322    .1558629
          9  |   .0630642   .0345842     1.82   0.069    -.0049722    .1311006
         10  |   .0917357   .0544967     1.68   0.093     -.015474    .1989453
         11  |   .0718809   .0515569     1.39   0.164    -.0295452    .1733071
         12  |  -.0680734   .0524527    -1.30   0.195    -.1712619     .035115
             |
  year_group |
          5  |  -.3903511          .        .       .            .           .
          6  |  -.5816098   .0551547   -10.55   0.000    -.6901138   -.4731057
          7  |  -.4814436   .0475589   -10.12   0.000    -.5750047   -.3878824
          8  |  -.3733503   .0347191   -10.75   0.000    -.4416521   -.3050486
          9  |  -.3610044   .0319699   -11.29   0.000    -.4238977   -.2981111
         10  |  -.2708695    .034581    -7.83   0.000    -.3388995   -.2028395
         11  |  -.2294529    .048047    -4.78   0.000    -.3239742   -.1349315
         12  |  -.2937006   .0448587    -6.55   0.000    -.3819498   -.2054515
         13  |  -.1545084   .0805957    -1.92   0.056    -.3130616    .0040449
             |
       _cons |   .4612876   .0500145     9.22   0.000     .3628957    .5596795
------------------------------------------------------------------------------
(678 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,312         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,312    .2464116    .4542667          0   3.051996
(678 missing values generated)
(678 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,312
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(18, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7795
                                                    Adj R-squared     = 0.7057
                                                    Root MSE          = 0.2342

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |     .03656   .0357607     1.02   0.307    -.0337908    .1069109
             |
 scale_group |
          2  |   .0090576   .0482424     0.19   0.851    -.0858481    .1039632
          3  |          0  (omitted)
          4  |   .1016579   .0591483     1.72   0.087    -.0147026    .2180184
          5  |   .0583879    .059892     0.97   0.330    -.0594355    .1762114
          6  |   .0232875   .0768007     0.30   0.762       -.1278    .1743749
          7  |   .0325539   .0674748     0.48   0.630     -.100187    .1652948
          8  |   .0325539   .0674748     0.48   0.630     -.100187    .1652948
          9  |   .1575953   .0740246     2.13   0.034     .0119692    .3032215
         10  |   .2363489   .0797948     2.96   0.003     .0793711    .3933266
         11  |   .0700019   .0696153     1.01   0.315    -.0669501    .2069538
         12  |   .0498075   .0708461     0.70   0.483    -.0895658    .1891809
             |
  year_group |
          5  |   .3058568   .0689276     4.44   0.000     .1702577    .4414559
          6  |   .0344913   .1687307     0.20   0.838    -.2974472    .3664297
          7  |   .0259248   .1065097     0.24   0.808    -.1836083    .2354579
          8  |  -.0365129   .0870975    -0.42   0.675    -.2078569    .1348311
          9  |  -.0669814   .0815695    -0.82   0.412    -.2274504    .0934876
         10  |  -.0822321   .0821233    -1.00   0.317    -.2437907    .0793265
         11  |  -.0754028   .0847187    -0.89   0.374    -.2420671    .0912615
         12  |  -.0544768   .0894293    -0.61   0.543    -.2304081    .1214545
         13  |  -.0419686     .09001    -0.47   0.641    -.2190423    .1351052
             |
       _cons |   .2562602    .094329     2.72   0.007     .0706898    .4418307
------------------------------------------------------------------------------
(678 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,312         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,312    .3081547    .4593315          0   3.212335
(678 missing values generated)
(678 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,312
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(18, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6111
                                                    Adj R-squared     = 0.4809
                                                    Root MSE          = 0.1723

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0206306   .0273907    -0.75   0.452    -.0745154    .0332542
             |
 scale_group |
          2  |  -.6142671   .0314603   -19.53   0.000    -.6761579   -.5523763
          3  |          0  (omitted)
          4  |   .0458191   .0238645     1.92   0.056    -.0011289     .092767
          5  |   .0517029   .0256119     2.02   0.044     .0013175    .1020884
          6  |   .0115972   .0349705     0.33   0.740    -.0571991    .0803936
          7  |  -.0415897   .0398427    -1.04   0.297     -.119971    .0367916
          8  |  -.0415897   .0398427    -1.04   0.297     -.119971    .0367916
          9  |  -.0241389   .0322837    -0.75   0.455    -.0876496    .0393718
         10  |  -.1351501   .0612944    -2.20   0.028    -.2557326   -.0145675
         11  |   .0454546   .0348851     1.30   0.194    -.0231737    .1140828
         12  |  -.7017239   .0497167   -14.11   0.000    -.7995298   -.6039179
             |
  year_group |
          5  |   .2207242   .0214909    10.27   0.000     .1784459    .2630025
          6  |   .3608923   .1861341     1.94   0.053    -.0052833    .7270679
          7  |   .3434659   .1901791     1.81   0.072    -.0306673    .7175991
          8  |    .202964   .1759988     1.15   0.250    -.1432726    .5492007
          9  |   .2123682   .1824734     1.16   0.245    -.1466058    .5713422
         10  |   .2033654   .1815186     1.12   0.263    -.1537302     .560461
         11  |   .2514184   .1821332     1.38   0.168    -.1068864    .6097232
         12  |   .2235003   .1821001     1.23   0.221    -.1347393    .5817399
         13  |    .230239   .1822867     1.26   0.207    -.1283677    .5888457
             |
       _cons |   .0462322   .1779786     0.26   0.795    -.3038992    .3963637
------------------------------------------------------------------------------
(678 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,312         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,312     .113955    .2547235          0   2.651766
(678 missing values generated)
(678 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,312
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7605
                                                    Adj R-squared     = 0.6803
                                                    Root MSE          = 0.2735

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .054807   .0452293     1.21   0.226    -.0341711    .1437852
             |
 scale_group |
          2  |   -.136213   .0791837    -1.72   0.086    -.2919885    .0195626
          3  |          0  (omitted)
          4  |  -.0248966   .0275865    -0.90   0.367    -.0791667    .0293735
          5  |   .0226242   .0312455     0.72   0.470    -.0388439    .0840924
          6  |  -.1423013   .0580204    -2.45   0.015    -.2564431   -.0281596
          7  |     .05322   .0603954     0.88   0.379    -.0655939    .1720339
          8  |   .0753534   .0603954     1.25   0.213    -.0434605    .1941673
          9  |   .0810437   .0948656     0.85   0.394    -.1055824    .2676698
         10  |  -.1360679   .0685049    -1.99   0.048    -.2708354   -.0013004
         11  |  -.0929522   .0443366    -2.10   0.037    -.1801742   -.0057301
         12  |  -.1245954   .0913519    -1.36   0.174     -.304309    .0551182
             |
  year_group |
          5  |    .011345          .        .       .            .           .
          6  |   .6857286     .41714     1.64   0.101    -.1348975    1.506355
          7  |   .0228434   .1804231     0.13   0.899    -.3320972     .377784
          8  |  -.0322558   .1469237    -0.22   0.826     -.321294    .2567823
          9  |   .1823918   .1366597     1.33   0.183    -.0864545     .451238
         10  |   .0924087   .1357915     0.68   0.497    -.1747296    .3595469
         11  |  -.0051978   .1403377    -0.04   0.970    -.2812796    .2708841
         12  |   .0026549    .139333     0.02   0.985    -.2714504    .2767602
         13  |   .0009945   .1405794     0.01   0.994    -.2755629    .2775519
             |
       _cons |   .2348009   .1363478     1.72   0.086    -.0334316    .5030335
------------------------------------------------------------------------------
(678 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,312         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,312    .2652809    .4801345          0   4.161066
(678 missing values generated)
(678 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,312
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(18, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9733
                                                    Adj R-squared     = 0.9644
                                                    Root MSE          = 0.0958

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0016989   .0140747    -0.12   0.904    -.0293876    .0259897
             |
 scale_group |
          2  |   .0447984   .0151125     2.96   0.003     .0150681    .0745286
          3  |          0  (omitted)
          4  |   .0244755   .0157113     1.56   0.120    -.0064328    .0553838
          5  |   .0066583   .0105706     0.63   0.529    -.0141369    .0274536
          6  |    .095405   .0555359     1.72   0.087     -.013849    .2046591
          7  |   -.008508   .0238397    -0.36   0.721    -.0554071     .038391
          8  |    .005387   .0238397     0.23   0.821     -.041512    .0522861
          9  |   .0289851   .0148297     1.95   0.051    -.0001889     .058159
         10  |  -.0291606    .055629    -0.52   0.600    -.1385978    .0802765
         11  |   .0526972   .0331656     1.59   0.113    -.0125485    .1179429
         12  |   .0339841   .0188925     1.80   0.073    -.0031826    .0711507
             |
  year_group |
          5  |  -.1675181   .0033403   -50.15   0.000    -.1740893   -.1609468
          6  |   .0031869   .1131983     0.03   0.978    -.2195044    .2258783
          7  |  -.0685208   .0271067    -2.53   0.012    -.1218469   -.0151947
          8  |  -.0658106   .0262614    -2.51   0.013    -.1174738   -.0141474
          9  |  -.0900909   .0249468    -3.61   0.000    -.1391679   -.0410138
         10  |  -.0914813   .0259501    -3.53   0.000    -.1425321   -.0404304
         11  |  -.0703609   .0300779    -2.34   0.020    -.1295323   -.0111895
         12  |  -.0661871   .0321101    -2.06   0.040    -.1293563   -.0030179
         13  |  -.0722741   .0335475    -2.15   0.032    -.1382711   -.0062771
             |
       _cons |   .3690967   .0295807    12.48   0.000     .3109036    .4272897
------------------------------------------------------------------------------
(678 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,312         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,312    .3057321    .5006047          0   3.292309
(678 missing values generated)
(678 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,312
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(18, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9577
                                                    Adj R-squared     = 0.9435
                                                    Root MSE          = 0.1173

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.020583   .0232154    -0.89   0.376    -.0662539     .025088
             |
 scale_group |
          2  |   .0229012   .0239678     0.96   0.340      -.02425    .0700523
          3  |          0  (omitted)
          4  |   .0014669   .0155892     0.09   0.925    -.0292013    .0321351
          5  |  -.0081374   .0143888    -0.57   0.572    -.0364439    .0201691
          6  |   .0096492   .0294252     0.33   0.743    -.0482381    .0675364
          7  |  -.0130315   .0233128    -0.56   0.577    -.0588939    .0328309
          8  |  -.0130315   .0233128    -0.56   0.577    -.0588939    .0328309
          9  |  -.0326427      .0424    -0.77   0.442    -.1160548    .0507694
         10  |   .0015812    .021858     0.07   0.942    -.0414193    .0445818
         11  |   .0071206   .0359827     0.20   0.843     -.063667    .0779082
         12  |   .0072157   .0381035     0.19   0.850     -.067744    .0821754
             |
  year_group |
          5  |  -.2423536   1.24e-08 -2.0e+07   0.000    -.2423536   -.2423536
          6  |  -.6038159   .2170209    -2.78   0.006    -1.030754   -.1768776
          7  |  -.7634964   .1401006    -5.45   0.000    -1.039112   -.4878809
          8  |  -.7271032   .1379501    -5.27   0.000    -.9984879   -.4557185
          9  |  -.7245375   .1354433    -5.35   0.000    -.9909908   -.4580843
         10  |  -.7376109   .1330022    -5.55   0.000    -.9992617     -.47596
         11  |  -.7181825   .1343543    -5.35   0.000    -.9824933   -.4538718
         12  |  -.7417489   .1348059    -5.50   0.000    -1.006948   -.4765495
         13  |  -.7446876   .1365123    -5.46   0.000    -1.013244   -.4761314
             |
       _cons |   1.045404   .1344293     7.78   0.000     .7809454    1.309862
------------------------------------------------------------------------------
(678 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,312         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,312    .3008608    .4901094          0   3.362496
(678 missing values generated)
(678 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,312
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(18, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7609
                                                    Adj R-squared     = 0.6808
                                                    Root MSE          = 0.2943

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0159405   .0544683     0.29   0.770    -.0912131    .1230941
             |
 scale_group |
          2  |  -1.156706    .080164   -14.43   0.000     -1.31441    -.999002
          3  |          0  (omitted)
          4  |   .0965683   .0524787     1.84   0.067    -.0066713     .199808
          5  |   .0841813   .0540233     1.56   0.120    -.0220969    .1904596
          6  |   .1882678   .0732316     2.57   0.011     .0442017    .3323339
          7  |   .1074589   .0721178     1.49   0.137    -.0344161     .249334
          8  |   .1255743   .0721178     1.74   0.083    -.0163008    .2674494
          9  |   .1686791   .0866924     1.95   0.053     -.001868    .3392263
         10  |  -.0478608   .0967875    -0.49   0.621    -.2382676    .1425461
         11  |   .1707972   .0750654     2.28   0.024     .0231234     .318471
         12  |  -1.040272   .0953173   -10.91   0.000    -1.227786   -.8527572
             |
  year_group |
          5  |  -.0818968   .0320758    -2.55   0.011    -.1449985    -.018795
          6  |   .1989222   .2805812     0.71   0.479    -.3530561    .7509005
          7  |  -.0380357   .2215849    -0.17   0.864    -.4739524    .3978811
          8  |  -.2586549   .1971256    -1.31   0.190    -.6464538     .129144
          9  |  -.2731761    .174178    -1.57   0.118    -.6158308    .0694785
         10  |  -.2487452    .179616    -1.38   0.167     -.602098    .1046076
         11  |  -.2468488   .1797173    -1.37   0.171    -.6004008    .1067031
         12  |  -.2268929   .1808698    -1.25   0.211    -.5827123    .1289265
         13  |  -.2505929   .1839521    -1.36   0.174    -.6124759    .1112901
             |
       _cons |   .7707123   .1855713     4.15   0.000     .4056439    1.135781
------------------------------------------------------------------------------
(678 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,312         789           0        789        789

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,312    .3313981    .5106875          0   3.147522

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(754 missing values generated)
(754 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,236
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7559
                                                    Adj R-squared     = 0.6695
                                                    Root MSE          = 0.2375

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0062984   .0543347     0.12   0.908    -.1005924    .1131893
             |
 scale_group |
          1  |          0  (empty)
          2  |   .3150589   .0993893     3.17   0.002     .1195336    .5105842
          3  |          0  (omitted)
          4  |   .0077097   .0668469     0.12   0.908     -.123796    .1392154
          5  |  -.0551471    .075571    -0.73   0.466    -.2038156    .0935213
          6  |  -.0162114   .0762299    -0.21   0.832     -.166176    .1337531
          7  |   .0364718   .0673715     0.54   0.589     -.096066    .1690096
          8  |   .0443288   .0673715     0.66   0.511     -.088209    .1768666
          9  |  -.0356827   .0803106    -0.44   0.657    -.1936751    .1223097
         10  |          0  (omitted)
         11  |   .1163849   .0673926     1.73   0.085    -.0161943    .2489641
         12  |   .2595949   .0988881     2.63   0.009     .0650555    .4541344
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0661514   .0982791    -0.67   0.501    -.2594926    .1271898
          7  |   .0495029   .1103843     0.45   0.654    -.1676525    .2666584
          8  |  -.0099167    .084521    -0.12   0.907    -.1761921    .1563587
          9  |   .0418238   .0769469     0.54   0.587    -.1095514     .193199
         10  |   .1164271   .0830404     1.40   0.162    -.0469357    .2797899
         11  |    .198326   .0956682     2.07   0.039      .010121    .3865311
         12  |   .1855242    .091984     2.02   0.045     .0045671    .3664814
         13  |   .1971589   .0955898     2.06   0.040     .0091082    .3852095
             |
       _cons |   .0218366   .0947884     0.23   0.818    -.1646376    .2083109
------------------------------------------------------------------------------
(754 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,236         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,236    .2302032    .4185003          0   3.102431
(754 missing values generated)
(754 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,236
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8445
                                                    Adj R-squared     = 0.7894
                                                    Root MSE          = 0.2109

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0466184    .049115    -0.95   0.343    -.1432408     .050004
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1454376   .0526392     2.76   0.006     .0418822    .2489929
          3  |          0  (omitted)
          4  |   .0084219   .0328428     0.26   0.798    -.0561888    .0730325
          5  |  -.0573706    .034911    -1.64   0.101    -.1260498    .0113086
          6  |    -.04059   .0467062    -0.87   0.385    -.1324735    .0512936
          7  |   1.50e-15          .        .       .            .           .
          8  |          0  (omitted)
          9  |  -.0140235   .0386917    -0.36   0.717    -.0901405    .0620934
         10  |  -.0463513   .0438713    -1.06   0.292    -.1326579    .0399553
         11  |  -.0264637   .0462715    -0.57   0.568    -.1174921    .0645646
         12  |   .1249491   .0480106     2.60   0.010     .0304994    .2193988
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2805903   .1442995    -1.94   0.053     -.564466    .0032854
          7  |  -.3145906   .1159189    -2.71   0.007     -.542634   -.0865472
          8  |  -.2468322    .113295    -2.18   0.030    -.4697138   -.0239507
          9  |  -.2251939    .112374    -2.00   0.046    -.4462636   -.0041243
         10  |  -.1806642   .1099235    -1.64   0.101    -.3969132    .0355847
         11  |  -.0980701    .116272    -0.84   0.400    -.3268083    .1306681
         12  |  -.1164176    .115827    -1.01   0.316    -.3442803    .1114451
         13  |  -.0615758   .1247523    -0.49   0.622    -.3069968    .1838453
             |
       _cons |   .4200643    .111454     3.77   0.000     .2008044    .6393241
------------------------------------------------------------------------------
(754 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,236         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,236    .2568104    .4546332          0   3.193691
(754 missing values generated)
(754 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,236
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 326)        =   4.18
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7675
                                                    Adj R-squared     = 0.6852
                                                    Root MSE          = 0.2318

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0176645   .0492745     0.36   0.720    -.0792716    .1146007
             |
 scale_group |
          1  |          0  (empty)
          2  |    -.18092   .0908493    -1.99   0.047    -.3596449   -.0021951
          3  |          0  (omitted)
          4  |   .1207935   .0341495     3.54   0.000     .0536123    .1879746
          5  |   .0418404   .0345612     1.21   0.227    -.0261508    .1098316
          6  |   .0299546   .0386073     0.78   0.438    -.0459962    .1059054
          7  |   1.49e-15   4.27e-08     0.00   1.000    -8.40e-08    8.40e-08
          8  |          0  (omitted)
          9  |   .0607637     .04471     1.36   0.175    -.0271928    .1487202
         10  |   .1808957   .0538172     3.36   0.001     .0750228    .2867686
         11  |   .1001157   .0409298     2.45   0.015     .0195959    .1806356
         12  |  -.0835876    .076753    -1.09   0.277    -.2345814    .0674061
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1427866   .1550995    -0.92   0.358    -.4479087    .1623356
          7  |  -.1659192   .1356308    -1.22   0.222    -.4327413    .1009029
          8  |  -.0665457   .1374241    -0.48   0.629    -.3368956    .2038043
          9  |  -.1897686   .1317867    -1.44   0.151    -.4490282     .069491
         10  |  -.1770512   .1317543    -1.34   0.180     -.436247    .0821447
         11  |   -.209339   .1340381    -1.56   0.119    -.4730277    .0543497
         12  |  -.1880224   .1365374    -1.38   0.169     -.456628    .0805832
         13  |   -.196949   .1349958    -1.46   0.146    -.4625219     .068624
             |
       _cons |   .3882795   .1338989     2.90   0.004     .1248646    .6516944
------------------------------------------------------------------------------
(754 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,236         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,236    .2782402     .445245          0   2.948796
(754 missing values generated)
(754 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,236
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5710
                                                    Adj R-squared     = 0.4191
                                                    Root MSE          = 0.2059

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0397349   .0347648    -1.14   0.254    -.1081266    .0286568
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.1540349   .2167054    -0.71   0.478    -.5803525    .2722826
          3  |          0  (omitted)
          4  |   .1476516   .0632706     2.33   0.020     .0231814    .2721218
          5  |   .1711147   .0691419     2.47   0.014     .0350941    .3071352
          6  |   .1706338   .0689475     2.47   0.014     .0349956    .3062721
          7  |  -.0233264   .0708646    -0.33   0.742    -.1627359    .1160832
          8  |  -.0233264   .0708646    -0.33   0.742    -.1627359    .1160832
          9  |   .0408324   .0720754     0.57   0.571    -.1009591    .1826239
         10  |          0  (omitted)
         11  |   .1736348    .062465     2.78   0.006     .0507495    .2965202
         12  |  -.1606801   .2044873    -0.79   0.433    -.5629614    .2416012
             |
  year_group |
          5  |          0  (empty)
          6  |   .2578173   .1050295     2.45   0.015     .0511962    .4644385
          7  |    .247772   .1191458     2.08   0.038     .0133803    .4821636
          8  |   .1922321   .1172306     1.64   0.102    -.0383919     .422856
          9  |   .1596772   .1111549     1.44   0.152    -.0589943    .3783486
         10  |   .1091261   .1163897     0.94   0.349    -.1198435    .3380957
         11  |   .1604568   .1178709     1.36   0.174    -.0714267    .3923403
         12  |   .1419685   .1165711     1.22   0.224     -.087358    .3712949
         13  |   .1357539   .1165767     1.16   0.245    -.0935837    .3650914
             |
       _cons |  -.0679344   .1368295    -0.50   0.620    -.3371146    .2012457
------------------------------------------------------------------------------
(754 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,236         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,236    .1335524    .2730834          0   2.210219
(754 missing values generated)
(754 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,236
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7595
                                                    Adj R-squared     = 0.6743
                                                    Root MSE          = 0.2821

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0974871   .0538015     1.81   0.071    -.0083548     .203329
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0358153   .1324831    -0.27   0.787     -.296445    .2248143
          3  |          0  (omitted)
          4  |   .1095432   .0754325     1.45   0.147    -.0388528    .2579391
          5  |   .2104382   .0842524     2.50   0.013     .0446913    .3761852
          6  |   .0575673   .0845199     0.68   0.496    -.1087058    .2238405
          7  |   .1478411   .0701275     2.11   0.036     .0098817    .2858006
          8  |   .1598572   .0701275     2.28   0.023     .0218977    .2978166
          9  |   .2130885    .112079     1.90   0.058    -.0074009    .4335779
         10  |          0  (omitted)
         11  |   .0733762   .0719766     1.02   0.309    -.0682211    .2149735
         12  |   .0603465   .1151464     0.52   0.601    -.1661773    .2868704
             |
  year_group |
          5  |          0  (empty)
          6  |   .3396968   .2317529     1.47   0.144    -.1162231    .7956167
          7  |   .0220514   .1681868     0.13   0.896    -.3088171    .3529199
          8  |   .0917841   .1491475     0.62   0.539    -.2016289     .385197
          9  |   .1124446   .1312766     0.86   0.392    -.1458117    .3707009
         10  |   .0584231   .1361666     0.43   0.668     -.209453    .3262992
         11  |  -.0896767   .1397174    -0.64   0.521    -.3645382    .1851849
         12  |  -.0677765   .1403157    -0.48   0.629    -.3438149    .2082619
         13  |  -.0531243   .1410333    -0.38   0.707    -.3305746    .2243259
             |
       _cons |   .1137846    .144456     0.79   0.431    -.1703989    .3979681
------------------------------------------------------------------------------
(754 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,236         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,236    .2688789    .4964599          0   3.714492
(754 missing values generated)
(754 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,236
Absorbed variable: factor_pair                    No. of categories =      306
                                                  F(18, 326)        = 4.11e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9719
                                                  Adj R-squared     =   0.9619
                                                  Root MSE          =   0.1008

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0167094   .0223095     0.75   0.454    -.0271793    .0605981
             |
 scale_group |
          1  |          0  (empty)
          2  |    .018909   .0280559     0.67   0.501    -.0362844    .0741024
          3  |          0  (omitted)
          4  |   .0352144   .0241968     1.46   0.147    -.0123871     .082816
          5  |   .0287486   .0266345     1.08   0.281    -.0236485    .0811457
          6  |   .0532819   .0369775     1.44   0.151    -.0194627    .1260265
          7  |          0  (omitted)
          8  |   .0119429   1.39e-08  8.6e+05   0.000     .0119429     .011943
          9  |   .0469232   .0283141     1.66   0.098    -.0087782    .1026246
         10  |   .0364904   .0281107     1.30   0.195    -.0188109    .0917917
         11  |    .033036   .0271444     1.22   0.224    -.0203642    .0864363
         12  |    .028419   .0183575     1.55   0.123     -.007695    .0645331
             |
  year_group |
          5  |          0  (empty)
          6  |   .0164234   .0723656     0.23   0.821    -.1259392    .1587859
          7  |  -.0594476   .0459475    -1.29   0.197    -.1498386    .0309435
          8  |  -.0504381   .0440679    -1.14   0.253    -.1371315    .0362553
          9  |  -.0446703    .042389    -1.05   0.293    -.1280608    .0387202
         10  |  -.0638354   .0426514    -1.50   0.135     -.147742    .0200713
         11  |  -.0446227   .0490514    -0.91   0.364    -.1411199    .0518746
         12  |  -.0601386    .047029    -1.28   0.202    -.1526572    .0323801
         13  |  -.0658067   .0484635    -1.36   0.175    -.1611475     .029534
             |
       _cons |   .3356537   .0449606     7.47   0.000     .2472042    .4241031
------------------------------------------------------------------------------
(754 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,236         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,236    .3144046      .50725          0   3.037803
(754 missing values generated)
(754 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,236
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9352
                                                    Adj R-squared     = 0.9122
                                                    Root MSE          = 0.1508

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.023415   .0344808    -0.68   0.498    -.0912478    .0444179
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1439416    .160107     0.90   0.369    -.1710318     .458915
          3  |          0  (omitted)
          4  |   .0641893   .0270473     2.37   0.018     .0109801    .1173986
          5  |   .0699622   .0341876     2.05   0.042      .002706    .1372183
          6  |   .0562697    .032027     1.76   0.080    -.0067359    .1192754
          7  |    .068867   .0363512     1.89   0.059    -.0026455    .1403795
          8  |    .068867   .0363512     1.89   0.059    -.0026455    .1403794
          9  |   .0660091   .0419068     1.58   0.116    -.0164328     .148451
         10  |          0  (omitted)
         11  |   .0243427   .0339932     0.72   0.474     -.042531    .0912165
         12  |   .1246666   .1403731     0.89   0.375    -.1514849    .4008181
             |
  year_group |
          5  |          0  (empty)
          6  |  -.6068085   .1165902    -5.20   0.000    -.8361726   -.3774445
          7  |  -.7502189   .1073334    -6.99   0.000    -.9613725   -.5390653
          8  |  -.7389979   .0995497    -7.42   0.000    -.9348387    -.543157
          9  |  -.7093051   .0965702    -7.34   0.000    -.8992845   -.5193256
         10  |  -.6875624    .096527    -7.12   0.000    -.8774569   -.4976679
         11  |  -.6296009   .0989547    -6.36   0.000    -.8242713   -.4349306
         12  |  -.6339733   .0997885    -6.35   0.000    -.8302839   -.4376627
         13  |  -.6382318   .1001554    -6.37   0.000    -.8352642   -.4411993
             |
       _cons |   .9066361   .1090838     8.31   0.000     .6920391    1.121233
------------------------------------------------------------------------------
(754 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,236         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,236    .3088643    .5067675          0   3.128442
(754 missing values generated)
(754 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,236
Absorbed variable: factor_pair                    No. of categories =      306
                                                  F(18, 326)        = 5.89e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8166
                                                  Adj R-squared     =   0.7516
                                                  Root MSE          =   0.2565

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0398372   .0428591     0.93   0.353    -.0444781    .1241526
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.1661255    .142733    -1.16   0.245    -.4469194    .1146685
          3  |          0  (omitted)
          4  |   .0760798   .0502752     1.51   0.131    -.0228251    .1749846
          5  |   .1181767   .0559277     2.11   0.035      .008152    .2282014
          6  |   .0973967   .0593815     1.64   0.102    -.0194227     .214216
          7  |  -.0167205   1.62e-08 -1.0e+06   0.000    -.0167206   -.0167205
          8  |          0  (omitted)
          9  |   .1260507    .073461     1.72   0.087    -.0184668    .2705681
         10  |  -.0939037   .0632735    -1.48   0.139    -.2183795    .0305722
         11  |   .0881291   .0546434     1.61   0.108    -.0193691    .1956272
         12  |  -.0640994   .1318701    -0.49   0.627    -.3235232    .1953244
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0302923   .0947623    -0.32   0.749    -.2167151    .1561305
          7  |  -.1784858   .0992287    -1.80   0.073    -.3736952    .0167237
          8  |  -.1550843   .0771248    -2.01   0.045    -.3068094   -.0033592
          9  |  -.2133902   .0613737    -3.48   0.001    -.3341288   -.0926517
         10  |  -.1899137   .0663006    -2.86   0.004    -.3203447   -.0594827
         11  |  -.1970693   .0710217    -2.77   0.006    -.3367881   -.0573506
         12  |  -.1970455   .0740637    -2.66   0.008    -.3427486   -.0513424
         13  |  -.1601815   .0753524    -2.13   0.034    -.3084197   -.0119432
             |
       _cons |   .4721788   .0794759     5.94   0.000     .3158284    .6285293
------------------------------------------------------------------------------
(754 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,236         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,236    .3553239    .5232796          0   3.156795

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 329)        =   5.41
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7810
                                                    Adj R-squared     = 0.7064
                                                    Root MSE          = 0.2189

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0051468    .054186    -0.09   0.924    -.1117414    .1014479
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0626815   .0809071    -0.77   0.439    -.2218421    .0964791
          4  |   .1682159   .0630978     2.67   0.008     .0440899    .2923419
          5  |   .1109351   .0651847     1.70   0.090    -.0172962    .2391665
          6  |     .23884   .0975187     2.45   0.015     .0470012    .4306787
          7  |          0  (empty)
          8  |   .2181895   .0815775     2.67   0.008     .0577103    .3786688
          9  |   .0917156   .0770293     1.19   0.235    -.0598165    .2432478
         10  |   .1087786   .0841749     1.29   0.197    -.0568103    .2743675
         11  |   .2158892   .0680691     3.17   0.002     .0819837    .3497947
         12  |  -.0115532   .0609005    -0.19   0.850    -.1313567    .1082503
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3789107   .2377055    -1.59   0.112    -.8465251    .0887036
          7  |  -.1230514   .1271159    -0.97   0.334    -.3731138    .1270111
          8  |  -.0890198   .1061146    -0.84   0.402    -.2977686     .119729
          9  |  -.0173347    .100142    -0.17   0.863    -.2143341    .1796648
         10  |   .0320961   .1070473     0.30   0.764    -.1784875    .2426796
         11  |   .1520546   .1116956     1.36   0.174     -.067673    .3717822
         12  |   .1154612   .1099361     1.05   0.294    -.1008052    .3317277
         13  |   .1038624   .1136466     0.91   0.361    -.1197032     .327428
             |
       _cons |   .0599815   .1163531     0.52   0.607    -.1689084    .2888713
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         791           0        791        791

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,324    .2149109    .3950722          0   2.840272
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 329)        = 106.01
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8484
                                                    Adj R-squared     = 0.7968
                                                    Root MSE          = 0.1952

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0232494     .03976    -0.58   0.559    -.1014654    .0549666
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0418221   .0507003     0.82   0.410    -.0579157    .1415598
          4  |   .0869926   .0358366     2.43   0.016     .0164948    .1574904
          5  |   .0393754   .0344494     1.14   0.254    -.0283934    .1071443
          6  |   .0314801   .0448616     0.70   0.483    -.0567717    .1197319
          7  |          0  (empty)
          8  |   .0272433    .054768     0.50   0.619    -.0804964     .134983
          9  |   .0617417   .0347746     1.78   0.077    -.0066669    .1301504
         10  |    .027548   .0441811     0.62   0.533     -.059365     .114461
         11  |   .0643708   .0417479     1.54   0.124    -.0177556    .1464972
         12  |   .0284256   .0403862     0.70   0.482    -.0510223    .1078734
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5048149   .0793427    -6.36   0.000    -.6608979   -.3487319
          7  |  -.4901504   .0357077   -13.73   0.000    -.5603946   -.4199062
          8  |  -.4002795   .0176169   -22.72   0.000    -.4349356   -.3656234
          9  |   -.375664   .0116689   -32.19   0.000     -.398619    -.352709
         10  |  -.2981071   .0218095   -13.67   0.000    -.3410108   -.2552034
         11  |  -.2627145   .0402874    -6.52   0.000    -.3419679   -.1834611
         12  |  -.3032596   .0298733   -10.15   0.000    -.3620263   -.2444928
         13  |  -.2314606   .0725499    -3.19   0.002    -.3741809   -.0887404
             |
       _cons |   .5100877   .0372588    13.69   0.000     .4367921    .5833834
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         791           0        791        791

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,324    .2284253    .4213194          0   3.510192
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 329)        =   5.82
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7964
                                                    Adj R-squared     = 0.7271
                                                    Root MSE          = 0.1979

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0347494   .0351765     0.99   0.324    -.0344499    .1039487
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1302151   .0746056     1.75   0.082     -.016549    .2769792
          4  |   .0893259   .0802899     1.11   0.267    -.0686204    .2472722
          5  |   .0516889   .0827955     0.62   0.533    -.1111865    .2145643
          6  |   .0151664   .0841148     0.18   0.857    -.1503044    .1806371
          7  |          0  (empty)
          8  |   .0012221   .0938665     0.01   0.990    -.1834322    .1858764
          9  |   .0591224   .0921156     0.64   0.521    -.1220874    .2403322
         10  |   .2473523   .0994067     2.49   0.013     .0517994    .4429051
         11  |   .0798924   .0837205     0.95   0.341    -.0848027    .2445875
         12  |  -.0215941   .0571729    -0.38   0.706    -.1340646    .0908765
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0246557   .1494986    -0.16   0.869    -.3187494     .269438
          7  |  -.0870874    .148926    -0.58   0.559    -.3800547    .2058799
          8  |    -.11363   .1357344    -0.84   0.403    -.3806469    .1533869
          9  |    -.15162   .1328455    -1.14   0.255    -.4129537    .1097137
         10  |  -.1453309   .1355855    -1.07   0.285    -.4120549    .1213931
         11  |  -.1655822   .1353902    -1.22   0.222    -.4319219    .1007576
         12  |   -.154662   .1364742    -1.13   0.258    -.4231341    .1138101
         13  |   -.138468   .1373059    -1.01   0.314    -.4085763    .1316402
             |
       _cons |   .3186301   .1460901     2.18   0.030     .0312415    .6060186
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         791           0        791        791

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,324    .2496197    .3812071          0   2.282778
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 329)        =   4.49
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5894
                                                    Adj R-squared     = 0.4496
                                                    Root MSE          = 0.1964

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0471807   .0382081    -1.23   0.218    -.1223436    .0279823
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0457113   .1845416     0.25   0.805    -.3173191    .4087417
          4  |   .0349911   .0338868     1.03   0.303     -.031671    .1016531
          5  |   .0430133   .0398828     1.08   0.282    -.0354441    .1214707
          6  |   .1233799   .0555159     2.22   0.027      .014169    .2325907
          7  |          0  (empty)
          8  |  -.0629749   .0516005    -1.22   0.223    -.1644834    .0385337
          9  |  -.0340682   .0487303    -0.70   0.485    -.1299305     .061794
         10  |  -.0257277    .050835    -0.51   0.613    -.1257303    .0742749
         11  |   .0612116   .0402617     1.52   0.129    -.0179911    .1404144
         12  |  -.0396485   .0309969    -1.28   0.202    -.1006255    .0213285
             |
  year_group |
          5  |          0  (empty)
          6  |   .2064811   .1173262     1.76   0.079    -.0243232    .4372853
          7  |   .2929231   .1413286     2.07   0.039     .0149015    .5709448
          8  |   .1371598   .1112482     1.23   0.218    -.0816879    .3560074
          9  |   .1273375   .1073912     1.19   0.237    -.0839225    .3385976
         10  |   .1214197   .1102251     1.10   0.271    -.0954152    .3382546
         11  |   .1010221   .1118376     0.90   0.367    -.1189849    .3210292
         12  |   .0991783   .1109994     0.89   0.372    -.1191799    .3175364
         13  |    .073975   .1118561     0.66   0.509    -.1460684    .2940184
             |
       _cons |    .005887   .1153678     0.05   0.959    -.2210647    .2328386
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         791           0        791        791

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,324    .1201594    .2616702          0   2.699174
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 329)        =   8.15
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8055
                                                    Adj R-squared     = 0.7393
                                                    Root MSE          = 0.2483

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0611402   .0468555     1.30   0.193    -.0310339    .1533143
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0647871   .0725601     0.89   0.373    -.0779531    .2075273
          4  |  -.0258595   .0341951    -0.76   0.450    -.0931282    .0414091
          5  |  -.0002584   .0373578    -0.01   0.994    -.0737487    .0732319
          6  |  -.1465087   .0949789    -1.54   0.124    -.3333514    .0403339
          7  |          0  (empty)
          8  |  -.0520944   .0683094    -0.76   0.446    -.1864727     .082284
          9  |   .0695973   .0897758     0.78   0.439    -.1070097    .2462043
         10  |  -.1372651   .0765483    -1.79   0.074    -.2878509    .0133207
         11  |  -.1034429   .0466841    -2.22   0.027    -.1952799   -.0116059
         12  |   .0820173   .0555162     1.48   0.141    -.0271942    .1912288
             |
  year_group |
          5  |          0  (empty)
          6  |   .4176406   .2683825     1.56   0.121    -.1103216    .9456028
          7  |  -.0167648   .1758404    -0.10   0.924    -.3626782    .3291486
          8  |   .1471408   .1350679     1.09   0.277    -.1185648    .4128465
          9  |   .1377515     .12842     1.07   0.284    -.1148764    .3903795
         10  |   .1258477   .1325763     0.95   0.343    -.1349566     .386652
         11  |  -.0295173   .1352106    -0.22   0.827    -.2955037    .2364692
         12  |  -.0226369   .1350423    -0.17   0.867    -.2882922    .2430183
         13  |  -.0059697   .1392614    -0.04   0.966    -.2799247    .2679854
             |
       _cons |   .1969975   .1361299     1.45   0.149    -.0707973    .4647922
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         791           0        791        791

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,324    .2611051    .4735789          0   3.682445
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 329)        =   1.33
                                                    Prob > F          = 0.1651
                                                    R-squared         = 0.9710
                                                    Adj R-squared     = 0.9611
                                                    Root MSE          = 0.0999

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0200479   .0173864     1.15   0.250    -.0141546    .0542503
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0043989   .0197726    -0.22   0.824    -.0432956    .0344978
          4  |    .031908   .0162615     1.96   0.051    -.0000816    .0638975
          5  |   .0067386    .013788     0.49   0.625    -.0203851    .0338623
          6  |  -.0040264   .0313728    -0.13   0.898    -.0657429    .0576902
          7  |          0  (empty)
          8  |  -.0389891   .0298057    -1.31   0.192    -.0976229    .0196446
          9  |   .0508649   .0239174     2.13   0.034     .0038145    .0979152
         10  |  -.0970618   .0639417    -1.52   0.130    -.2228479    .0287243
         11  |   .0341058   .0220672     1.55   0.123    -.0093049    .0775164
         12  |  -.0170787   .0167197    -1.02   0.308    -.0499696    .0158123
             |
  year_group |
          5  |          0  (empty)
          6  |   .0008216   .0867304     0.01   0.992    -.1697945    .1714377
          7  |  -.0706127    .059386    -1.19   0.235    -.1874369    .0462115
          8  |  -.0667092   .0545291    -1.22   0.222    -.1739789    .0405605
          9  |  -.0681712   .0525596    -1.30   0.196    -.1715665     .035224
         10  |  -.0804709   .0547437    -1.47   0.143    -.1881628    .0272209
         11  |  -.0659416   .0578962    -1.14   0.256    -.1798351    .0479518
         12  |  -.0562766     .05773    -0.97   0.330    -.1698432      .05729
         13  |  -.0443399   .0599791    -0.74   0.460    -.1623309    .0736511
             |
       _cons |   .3614429   .0559981     6.45   0.000     .2512834    .4716024
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         791           0        791        791

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,324    .2958217    .4813608          0   2.844287
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 329)        =   1.92
                                                    Prob > F          = 0.0142
                                                    R-squared         = 0.9534
                                                    Adj R-squared     = 0.9375
                                                    Root MSE          = 0.1254

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0202748   .0284047     0.71   0.476     -.035603    .0761526
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0658225   .0930177    -0.71   0.480    -.2488071    .1171621
          4  |   .0382413    .016877     2.27   0.024     .0050409    .0714418
          5  |   .0163376   .0194841     0.84   0.402    -.0219916    .0546668
          6  |   .0222298   .0342961     0.65   0.517    -.0452376    .0896971
          7  |          0  (empty)
          8  |   .0358909   .0357598     1.00   0.316    -.0344558    .1062377
          9  |   .0556997   .0341466     1.63   0.104    -.0114735    .1228728
         10  |  -.0034639   .0245106    -0.14   0.888    -.0516812    .0447534
         11  |   .0331465    .032686     1.01   0.311    -.0311534    .0974464
         12  |   .0011405   .0526441     0.02   0.983    -.1024209     .104702
             |
  year_group |
          5  |          0  (empty)
          6  |   -1.01221   .2379384    -4.25   0.000    -1.480282   -.5441371
          7  |  -1.007596   .2377749    -4.24   0.000    -1.475347   -.5398452
          8  |  -.9838222   .2392511    -4.11   0.000    -1.454477   -.5131672
          9  |  -.9798802   .2337535    -4.19   0.000     -1.43972   -.5200402
         10  |   -.981461   .2358331    -4.16   0.000    -1.445392     -.51753
         11  |  -.9390862   .2362973    -3.97   0.000     -1.40393    -.474242
         12  |  -.9462405   .2363108    -4.00   0.000    -1.411111   -.4813698
         13  |  -.9403342   .2376448    -3.96   0.000    -1.407829   -.4728391
             |
       _cons |   1.230495   .2335495     5.27   0.000     .7710558    1.689933
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         791           0        791        791

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,324    .2890372    .4875726          0   2.525262
(666 missing values generated)
(666 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,324
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(18, 329)        =   2.87
                                                    Prob > F          = 0.0001
                                                    R-squared         = 0.9061
                                                    Adj R-squared     = 0.8741
                                                    Root MSE          = 0.1729

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0219505   .0341032     0.64   0.520    -.0451373    .0890383
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0916297   .1526861     0.60   0.549    -.2087344    .3919939
          4  |   .0033213   .0302828     0.11   0.913     -.056251    .0628936
          5  |    -.01163   .0317315    -0.37   0.714    -.0740522    .0507922
          6  |  -.0081092   .0554479    -0.15   0.884    -.1171864    .1009679
          7  |          0  (empty)
          8  |  -.0590673   .0488184    -1.21   0.227    -.1551029    .0369682
          9  |   .0288229   .0501853     0.57   0.566    -.0699018    .1275475
         10  |  -.1182302   .0580259    -2.04   0.042    -.2323788   -.0040816
         11  |   .0114164   .0383426     0.30   0.766    -.0640111     .086844
         12  |   .0421987    .039125     1.08   0.282     -.034768    .1191654
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1041688    .149858    -0.70   0.487    -.3989695    .1906319
          7  |  -.2790437   .1514624    -1.84   0.066    -.5770005    .0189132
          8  |  -.2936914   .1329558    -2.21   0.028    -.5552422   -.0321406
          9  |  -.3157636     .12889    -2.45   0.015    -.5693161    -.062211
         10  |  -.2830889   .1312558    -2.16   0.032    -.5412955   -.0248824
         11  |  -.3419569   .1322824    -2.59   0.010     -.602183   -.0817308
         12  |  -.3416721   .1320959    -2.59   0.010    -.6015313   -.0818129
         13  |  -.3173847    .133512    -2.38   0.018    -.5800297   -.0547398
             |
       _cons |    .605449   .1340023     4.52   0.000     .3418396    .8690584
------------------------------------------------------------------------------
(666 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,324         791           0        791        791

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,324    .3023511    .4744443          0   2.447047

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,254
Absorbed variable: factor_pair                    No. of categories =      304
                                                  F(18, 315)        = 3.40e+11
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7781
                                                  Adj R-squared     =   0.7017
                                                  Root MSE          =   0.2249

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0317365   .0584192    -0.54   0.587    -.1466777    .0832047
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0991805   .0644069     1.54   0.125    -.0275415    .2259025
          3  |          0  (omitted)
          4  |   .0110274   .0719075     0.15   0.878    -.1304523    .1525071
          5  |  -.1198226     .08715    -1.37   0.170    -.2912924    .0516471
          6  |  -.0385961    .082625    -0.47   0.641    -.2011628    .1239706
          7  |  -.0077837   2.82e-08 -2.8e+05   0.000    -.0077837   -.0077836
          8  |          0  (omitted)
          9  |  -.0653412   .0749779    -0.87   0.384    -.2128621    .0821796
         10  |          0  (empty)
         11  |    .042703   .0763144     0.56   0.576    -.1074473    .1928533
         12  |   .1492551   .0528331     2.83   0.005     .0453046    .2532055
             |
  year_group |
          5  |    .111678   4.96e-08  2.3e+06   0.000     .1116779    .1116781
          6  |   -.295378   .0754411    -3.92   0.000    -.4438102   -.1469457
          7  |  -.2906016   .1118631    -2.60   0.010    -.5106949   -.0705083
          8  |  -.2413053   .0683316    -3.53   0.000    -.3757494   -.1068612
          9  |  -.1754416   .0504849    -3.48   0.001    -.2747719   -.0761113
         10  |  -.1587768    .072658    -2.19   0.030    -.3017331   -.0158206
         11  |  -.0857227   .0932351    -0.92   0.359     -.269165    .0977195
         12  |  -.0950214   .0824421    -1.15   0.250    -.2572281    .0671853
         13  |  -.1440247   .0825353    -1.75   0.082    -.3064148    .0183654
             |
       _cons |   .3763736   .0837112     4.50   0.000     .2116699    .5410773
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,254    .2256896    .4128927          0   3.273483
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(0, 315)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8588
                                                    Adj R-squared     = 0.8102
                                                    Root MSE          = 0.1955

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0174359          .        .       .            .           .
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.0373831          .        .       .            .           .
          4  |   .0133907          .        .       .            .           .
          5  |  -.0538697          .        .       .            .           .
          6  |  -.0161318          .        .       .            .           .
          7  |   5.85e-16          .        .       .            .           .
          8  |          0  (omitted)
          9  |  -.0047178          .        .       .            .           .
         10  |          0  (empty)
         11  |  -.0021897          .        .       .            .           .
         12  |   .0263025          .        .       .            .           .
             |
  year_group |
          5  |  -.4655746          .        .       .            .           .
          6  |  -.3382684          .        .       .            .           .
          7  |  -.3561027          .        .       .            .           .
          8  |  -.2858031          .        .       .            .           .
          9  |  -.2964404          .        .       .            .           .
         10  |   -.203922          .        .       .            .           .
         11  |  -.1667923          .        .       .            .           .
         12  |   -.206613          .        .       .            .           .
         13  |  -.1650929          .        .       .            .           .
             |
       _cons |   .5004323          .        .       .            .           .
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,254    .2615173    .4610948          0   3.292804
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(0, 315)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7681
                                                    Adj R-squared     = 0.6883
                                                    Root MSE          = 0.2011

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0770974          .        .       .            .           .
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0798084          .        .       .            .           .
          3  |          0  (omitted)
          4  |   .0390174          .        .       .            .           .
          5  |   .0297908          .        .       .            .           .
          6  |  -.0436793          .        .       .            .           .
          7  |  -1.26e-16          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0577325          .        .       .            .           .
         10  |          0  (empty)
         11  |   .0358386          .        .       .            .           .
         12  |   .0321394          .        .       .            .           .
             |
  year_group |
          5  |   .2784028          .        .       .            .           .
          6  |   .0050093          .        .       .            .           .
          7  |   .0589946          .        .       .            .           .
          8  |   .0000694          .        .       .            .           .
          9  |  -.0592443          .        .       .            .           .
         10  |  -.0820739          .        .       .            .           .
         11  |  -.0792888          .        .       .            .           .
         12  |  -.0500194          .        .       .            .           .
         13  |  -.0296473          .        .       .            .           .
             |
       _cons |   .2151032          .        .       .            .           .
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,254    .2389888    .3876781          0    2.89734
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5987
                                                    Adj R-squared     = 0.4605
                                                    Root MSE          = 0.2124

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0121027   .0410035    -0.30   0.768    -.0927781    .0685726
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .3568527   .3024213     1.18   0.239    -.2381684    .9518739
          4  |   .0764648   .0342402     2.23   0.026     .0090964    .1438333
          5  |   .0816229   .0361473     2.26   0.025     .0105022    .1527436
          6  |   .0765856   .0386356     1.98   0.048     .0005692     .152602
          7  |   7.36e-16   3.09e-08     0.00   1.000    -6.08e-08    6.08e-08
          8  |          0  (omitted)
          9  |  -.0247831   .0403191    -0.61   0.539    -.1041118    .0545457
         10  |          0  (empty)
         11  |   .0884729   .0376974     2.35   0.020     .0143023    .1626435
         12  |   .0339759   .0923587     0.37   0.713    -.1477421    .2156938
             |
  year_group |
          5  |   .0813823          .        .       .            .           .
          6  |   .3143638   .0493029     6.38   0.000     .2173591    .4113685
          7  |   .3585209    .103187     3.47   0.001     .1554981    .5615437
          8  |    .199014   .0506529     3.93   0.000     .0993532    .2986748
          9  |   .1580292   .0388815     4.06   0.000      .081529    .2345294
         10  |   .1518899   .0492175     3.09   0.002     .0550534    .2487264
         11  |   .1641381    .051163     3.21   0.001     .0634736    .2648026
         12  |   .1709958   .0502927     3.40   0.001     .0720437    .2699479
         13  |   .1261063   .0519229     2.43   0.016     .0239467    .2282659
             |
       _cons |  -.1004665   .0521483    -1.93   0.055    -.2030696    .0021366
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,254    .1253667    .2876476          0   3.262903
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8014
                                                    Adj R-squared     = 0.7331
                                                    Root MSE          = 0.2427

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0279017   .0449797     0.62   0.535    -.0605969    .1164003
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.1207058   .1169204    -1.03   0.303    -.3507495    .1093378
          3  |          0  (omitted)
          4  |  -.0254722   .0451686    -0.56   0.573    -.1143425    .0633981
          5  |   .0372103   .0530197     0.70   0.483    -.0671073    .1415279
          6  |  -.0452894   .0639022    -0.71   0.479    -.1710186    .0804398
          7  |  -.0377332          .        .       .            .           .
          8  |          0  (omitted)
          9  |  -.1247637   .0675492    -1.85   0.066    -.2576684    .0081409
         10  |          0  (empty)
         11  |  -.1299673   .0475491    -2.73   0.007    -.2235213   -.0364133
         12  |  -.0874317   .1038572    -0.84   0.401    -.2917731    .1169097
             |
  year_group |
          5  |  -.0642554   1.61e-08 -4.0e+06   0.000    -.0642554   -.0642554
          6  |   .0075681   .0553795     0.14   0.891    -.1013924    .1165286
          7  |  -.1969844   .1008816    -1.95   0.052    -.3954713    .0015024
          8  |   -.014591   .0602516    -0.24   0.809    -.1331375    .1039555
          9  |   .0149589   .0305647     0.49   0.625    -.0451778    .0750956
         10  |  -.0122702   .0541193    -0.23   0.821    -.1187512    .0942108
         11  |  -.1477407   .0573618    -2.58   0.010    -.2606014     -.03488
         12  |  -.1260433   .0575832    -2.19   0.029    -.2393396   -.0127471
         13  |  -.0621576   .0586906    -1.06   0.290    -.1776327    .0533175
             |
       _cons |   .3658252   .0581324     6.29   0.000     .2514484     .480202
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,254    .2693866    .4782216          0   3.236009
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9716
                                                    Adj R-squared     = 0.9618
                                                    Root MSE          = 0.0973

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0251689   .0250227     1.01   0.315    -.0240639    .0744017
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0010614   .0210337    -0.05   0.960    -.0424456    .0403228
          3  |          0  (omitted)
          4  |   .0135232   .0231449     0.58   0.559     -.032015    .0590614
          5  |  -.0111911   .0282675    -0.40   0.692    -.0668081     .044426
          6  |   .0309961   .0419065     0.74   0.460    -.0514559     .113448
          7  |  -.0023059          .        .       .            .           .
          8  |          0  (omitted)
          9  |  -.0088152   .0330795    -0.27   0.790    -.0738999    .0562695
         10  |          0  (empty)
         11  |   .0023222     .02406     0.10   0.923    -.0450165    .0496609
         12  |   .0055662   .0183666     0.30   0.762    -.0305706     .041703
             |
  year_group |
          5  |  -.1339238   1.24e-08 -1.1e+07   0.000    -.1339238   -.1339238
          6  |   .0038282   .0847958     0.05   0.964    -.1630095     .170666
          7  |  -.0912935   .0652111    -1.40   0.163    -.2195978    .0370108
          8  |  -.0693466    .064664    -1.07   0.284    -.1965744    .0578813
          9  |  -.0453851   .0625043    -0.73   0.468    -.1683637    .0775935
         10  |  -.0842912   .0653151    -1.29   0.198    -.2128002    .0442178
         11  |  -.0612428   .0703291    -0.87   0.385    -.1996169    .0771313
         12  |  -.0571274   .0683414    -0.84   0.404    -.1915908    .0773359
         13  |  -.0494603   .0682329    -0.72   0.469    -.1837102    .0847896
             |
       _cons |   .3635461    .064922     5.60   0.000     .2358106    .4912816
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,254    .2995481    .4869125          0   3.244213
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(0, 315)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9530
                                                    Adj R-squared     = 0.9369
                                                    Root MSE          = 0.1183

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0457735          .        .       .            .           .
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0537852          .        .       .            .           .
          3  |          0  (omitted)
          4  |   .0052298          .        .       .            .           .
          5  |   .0125097          .        .       .            .           .
          6  |  -.0292381          .        .       .            .           .
          7  |   1.99e-15          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0153479          .        .       .            .           .
         10  |          0  (empty)
         11  |  -.0263452          .        .       .            .           .
         12  |  -.0750286          .        .       .            .           .
             |
  year_group |
          5  |  -.1883438          .        .       .            .           .
          6  |  -.4948271          .        .       .            .           .
          7  |  -.6784866          .        .       .            .           .
          8  |  -.6285252          .        .       .            .           .
          9  |  -.6099712          .        .       .            .           .
         10  |  -.5966152          .        .       .            .           .
         11  |  -.5667196          .        .       .            .           .
         12  |  -.5766825          .        .       .            .           .
         13  |  -.5643474          .        .       .            .           .
             |
       _cons |   .9238234          .        .       .            .           .
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,254    .2918451    .4777735          0   3.348371
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,254
Absorbed variable: factor_pair                    No. of categories =      304
                                                  F(18, 315)        = 3.63e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9160
                                                  Adj R-squared     =   0.8870
                                                  Root MSE          =   0.1561

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0067209   .0345161     0.19   0.846    -.0611904    .0746322
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.4011907   .2365928    -1.70   0.091    -.8666926    .0643111
          3  |          0  (omitted)
          4  |   .0138231    .027018     0.51   0.609    -.0393355    .0669816
          5  |   .0231314   .0311322     0.74   0.458    -.0381219    .0843847
          6  |   .0210641   .0308197     0.68   0.495    -.0395743    .0817026
          7  |   .0020097   2.00e-08  1.0e+05   0.000     .0020096    .0020097
          8  |          0  (omitted)
          9  |  -.0161849   .0362199    -0.45   0.655    -.0874485    .0550787
         10  |          0  (empty)
         11  |  -.0142138   .0299299    -0.47   0.635    -.0731017     .044674
         12  |  -.2877767   .1980876    -1.45   0.147    -.6775186    .1019652
             |
  year_group |
          5  |  -.1323269   2.47e-08 -5.4e+06   0.000    -.1323269   -.1323268
          6  |  -.0236373   .0369276    -0.64   0.523    -.0962932    .0490186
          7  |  -.1735044   .0566964    -3.06   0.002     -.285056   -.0619529
          8  |  -.0137066   .0375075    -0.37   0.715    -.0875035    .0600903
          9  |  -.0507952   .0191455    -2.65   0.008    -.0884645    -.013126
         10  |  -.0327008   .0359735    -0.91   0.364    -.1034796     .038078
         11  |  -.0701506   .0369353    -1.90   0.058    -.1428216    .0025205
         12  |  -.0487486   .0405927    -1.20   0.231    -.1286158    .0311186
         13  |  -.0172761   .0385931    -0.45   0.655     -.093209    .0586567
             |
       _cons |   .4029095   .0727483     5.54   0.000     .2597756    .5460435
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         759           0        759        759

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,254    .2825112    .4549628          0   2.779125

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8221
                                                    Adj R-squared     = 0.7612
                                                    Root MSE          = 0.1928

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0362066   .0455749    -0.79   0.428    -.1258721    .0534588
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0170561   .0788636    -0.22   0.829    -.1722145    .1381024
          4  |   .0864937   .0259805     3.33   0.001     .0353788    .1376086
          5  |   .0367211     .03312     1.11   0.268    -.0284402    .1018824
          6  |   .0826303   .0561133     1.47   0.142    -.0277685    .1930292
          7  |   .1865328   .0763679     2.44   0.015     .0362845    .3367811
          8  |   .1918741   .0763679     2.51   0.012     .0416258    .3421224
          9  |   .0196149   .0560263     0.35   0.726     -.090613    .1298427
         10  |          0  (empty)
         11  |    .168887   .0528528     3.20   0.002     .0649029     .272871
         12  |   .0533392   .0392534     1.36   0.175    -.0238891    .1305674
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2262592   .1408689    -1.61   0.109    -.5034088    .0508903
          7  |   .0782479   .1302653     0.60   0.548    -.1780397    .3345355
          8  |    .002044   .0899836     0.02   0.982    -.1749922    .1790803
          9  |   .0066188    .086432     0.08   0.939    -.1634299    .1766676
         10  |   .0674706   .0894701     0.75   0.451    -.1085554    .2434966
         11  |   .1067492   .0926924     1.15   0.250    -.0756165    .2891149
         12  |   .1148542   .0926267     1.24   0.216    -.0673822    .2970906
         13  |   .0754859   .0964478     0.78   0.434    -.1142683      .26524
             |
       _cons |   .0968885   .0932822     1.04   0.300    -.0866376    .2804145
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,320    .2163489    .4048179          0   2.796206
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8365
                                                    Adj R-squared     = 0.7807
                                                    Root MSE          = 0.2029

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0162378   .0484531    -0.34   0.738    -.1115659    .0790903
             |
 scale_group |
          2  |   .0922544   .0553652     1.67   0.097    -.0166728    .2011816
          3  |          0  (omitted)
          4  |   .0929531   .0247644     3.75   0.000     .0442309    .1416753
          5  |   .0362035   .0319132     1.13   0.257    -.0265834    .0989903
          6  |   .0318367    .038709     0.82   0.411    -.0443205     .107994
          7  |   .0924222   .0600626     1.54   0.125    -.0257466    .2105911
          8  |   .0924222   .0600626     1.54   0.125    -.0257466    .2105911
          9  |   .0545629   .0327165     1.67   0.096    -.0098045    .1189304
         10  |          0  (empty)
         11  |   .0834894   .0423386     1.97   0.049     .0001912    .1667875
         12  |   .1240773   .0458296     2.71   0.007     .0339107    .2142438
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3068673   .1504579    -2.04   0.042    -.6028826   -.0108521
          7  |  -.3210734   .1091798    -2.94   0.004    -.5358767     -.10627
          8  |  -.2654873   .1027506    -2.58   0.010    -.4676417   -.0633329
          9  |  -.2823156   .1019732    -2.77   0.006    -.4829406   -.0816905
         10  |  -.2102104   .1039396    -2.02   0.044     -.414704   -.0057167
         11  |  -.1702416   .1092219    -1.56   0.120    -.3851278    .0446447
         12  |  -.1868939   .1078065    -1.73   0.084    -.3989955    .0252078
         13  |  -.1405705      .1178    -1.19   0.234    -.3723337    .0911926
             |
       _cons |   .3850528   .1104126     3.49   0.001      .167824    .6022816
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,320    .2344773    .4272848          0   2.821124
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7986
                                                    Adj R-squared     = 0.7298
                                                    Root MSE          = 0.1836

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0119508   .0316402    -0.38   0.706    -.0742006    .0502989
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1332407   .0591601     2.25   0.025     .0168475    .2496339
          4  |   .0559623   .0383716     1.46   0.146    -.0195311    .1314556
          5  |   .0312827   .0398388     0.79   0.433    -.0470974    .1096627
          6  |   .0094154   .0516423     0.18   0.855     -.092187    .1110179
          7  |   .0074217   .0533933     0.14   0.890    -.0976258    .1124693
          8  |   .0074217   .0533933     0.14   0.890    -.0976258    .1124693
          9  |   .0270131   .0516292     0.52   0.601    -.0745637    .1285899
         10  |          0  (empty)
         11  |   .0296465   .0459165     0.65   0.519    -.0606909    .1199838
         12  |   .0636623   .0357044     1.78   0.076    -.0065836    .1339083
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2327598   .2611051    -0.89   0.373    -.7464653    .2809458
          7  |  -.3077496   .2353224    -1.31   0.192    -.7707295    .1552304
          8  |  -.3099939   .2240956    -1.38   0.168    -.7508859    .1308981
          9  |   -.331242    .226002    -1.47   0.144    -.7758847    .1134007
         10  |  -.3372762   .2260135    -1.49   0.137    -.7819416    .1073891
         11  |   -.339101   .2263433    -1.50   0.135    -.7844153    .1062133
         12  |  -.3039159   .2278816    -1.33   0.183    -.7522566    .1444248
         13  |  -.3034511   .2272152    -1.34   0.183    -.7504807    .1435784
             |
       _cons |   .5061224   .2253046     2.25   0.025     .0628518     .949393
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,320    .2308333    .3676173          0   2.947743
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6156
                                                    Adj R-squared     = 0.4843
                                                    Root MSE          = 0.1793

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0060031   .0282256     0.21   0.832    -.0495287    .0615348
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0010545   .0345516    -0.03   0.976    -.0690324    .0669234
          4  |   .0867955   .0452829     1.92   0.056    -.0022953    .1758864
          5  |   .0727226   .0473818     1.53   0.126    -.0204976    .1659428
          6  |   .0922357   .0494589     1.86   0.063    -.0050712    .1895425
          7  |   .0541434   .0489038     1.11   0.269    -.0420713     .150358
          8  |   .0541434   .0489038     1.11   0.269    -.0420713     .150358
          9  |   .0324294   .0495104     0.66   0.513    -.0649789    .1298376
         10  |          0  (empty)
         11  |   .1049418   .0466152     2.25   0.025     .0132298    .1966539
         12  |   -.030631   .0301867    -1.01   0.311    -.0900212    .0287592
             |
  year_group |
          5  |          0  (empty)
          6  |   .3196872   .1121111     2.85   0.005     .0991166    .5402578
          7  |   .2963011   .1619575     1.83   0.068    -.0223388    .6149409
          8  |   .2238866   .1309076     1.71   0.088    -.0336648     .481438
          9  |   .1522793   .1253774     1.21   0.225    -.0943918    .3989504
         10  |    .188572   .1276249     1.48   0.141    -.0625209    .4396649
         11  |   .1731328   .1270104     1.36   0.174    -.0767511    .4230167
         12  |   .1680904   .1267851     1.33   0.186    -.0813503    .4175311
         13  |   .1870121   .1267657     1.48   0.141    -.0623904    .4364146
             |
       _cons |  -.1372923    .130357    -1.05   0.293    -.3937604    .1191757
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,320    .1026199    .2549294          0   2.535081
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8146
                                                    Adj R-squared     = 0.7513
                                                    Root MSE          = 0.2182

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0775549   .0399448     1.94   0.053    -.0010337    .1561435
             |
 scale_group |
          2  |   .0438671   .0625465     0.70   0.484    -.0791886    .1669228
          3  |          0  (omitted)
          4  |  -.0203203   .0263598    -0.77   0.441    -.0721814    .0315407
          5  |   .0593623   .0299808     1.98   0.049     .0003773    .1183473
          6  |  -.0713888   .0531041    -1.34   0.180    -.1758674    .0330898
          7  |   .0670493   .0575046     1.17   0.244    -.0460868    .1801854
          8  |    .051922   .0575046     0.90   0.367    -.0612141    .1650582
          9  |  -.0140647   .0606694    -0.23   0.817    -.1334275     .105298
         10  |          0  (empty)
         11  |  -.0564919   .0358375    -1.58   0.116    -.1269997    .0140158
         12  |  -.0275627   .0355683    -0.77   0.439    -.0975407    .0424153
             |
  year_group |
          5  |          0  (empty)
          6  |   .2214379   .2576619     0.86   0.391    -.2854934    .7283693
          7  |  -.0320026   .2139151    -0.15   0.881    -.4528653    .3888601
          8  |   .0016423   .2018233     0.01   0.994    -.3954306    .3987153
          9  |   .0507563   .1984681     0.26   0.798    -.3397154    .4412281
         10  |   .0207479   .2024264     0.10   0.918    -.3775115    .4190074
         11  |  -.0707367   .2037291    -0.35   0.729     -.471559    .3300856
         12  |  -.0661689   .2039736    -0.32   0.746    -.4674723    .3351345
         13  |  -.0479049   .2041714    -0.23   0.815    -.4495976    .3537878
             |
       _cons |   .2496434    .200859     1.24   0.215    -.1455323     .644819
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,320    .2581317    .4417089          0     2.9047
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9789
                                                    Adj R-squared     = 0.9716
                                                    Root MSE          = 0.0815

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0100054   .0207249     0.48   0.630    -.0307694    .0507802
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0135077   .0163719    -0.83   0.410    -.0457182    .0187029
          4  |   .0231608    .017013     1.36   0.174     -.010311    .0566326
          5  |    .006329   .0138867     0.46   0.649    -.0209922    .0336502
          6  |    .048523   .0542784     0.89   0.372    -.0582658    .1553118
          7  |  -.0135637   .0325329    -0.42   0.677    -.0775699    .0504426
          8  |    -.00486   .0325329    -0.15   0.881    -.0688663    .0591462
          9  |    .030716   .0179755     1.71   0.088    -.0046494    .0660814
         10  |          0  (empty)
         11  |    .029304   .0195931     1.50   0.136     -.009244     .067852
         12  |  -.0063827   .0120349    -0.53   0.596    -.0300606    .0172951
             |
  year_group |
          5  |          0  (empty)
          6  |   -.019521   .0801421    -0.24   0.808    -.1771948    .1381528
          7  |  -.0315816   .0736109    -0.43   0.668    -.1764057    .1132425
          8  |   -.029964    .069522    -0.43   0.667    -.1667436    .1068157
          9  |  -.0402439   .0712908    -0.56   0.573    -.1805035    .1000156
         10  |  -.0494284   .0709958    -0.70   0.487    -.1891076    .0902508
         11  |  -.0330996   .0738457    -0.45   0.654    -.1783857    .1121865
         12  |  -.0408533   .0714354    -0.57   0.568    -.1813973    .0996908
         13  |  -.0210803   .0736546    -0.29   0.775    -.1659904    .1238298
             |
       _cons |    .326224   .0736209     4.43   0.000     .1813801    .4710678
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,320    .2885689    .4758401          0   3.374618
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9483
                                                    Adj R-squared     = 0.9306
                                                    Root MSE          = 0.1303

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0388192   .0260137    -1.49   0.137    -.0899992    .0123608
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0998708   .0869012     1.15   0.251     -.071101    .2708426
          4  |   .0062296   .0171805     0.36   0.717    -.0275718    .0400309
          5  |  -.0164615   .0160308    -1.03   0.305    -.0480009     .015078
          6  |  -.0140055   .0270306    -0.52   0.605    -.0671863    .0391754
          7  |  -.0134986   .0330287    -0.41   0.683    -.0784803     .051483
          8  |  -.0134986   .0330287    -0.41   0.683    -.0784803     .051483
          9  |   .0136507   .0294436     0.46   0.643    -.0442774    .0715788
         10  |          0  (empty)
         11  |   .0196626   .0392643     0.50   0.617    -.0575871    .0969123
         12  |   .0376397   .0411732     0.91   0.361    -.0433656    .1186449
             |
  year_group |
          5  |          0  (empty)
          6  |  -.9173342   .1897494    -4.83   0.000    -1.290653   -.5440158
          7  |  -.9203589    .215095    -4.28   0.000    -1.343543   -.4971748
          8  |   -.949228    .217255    -4.37   0.000    -1.376662   -.5217943
          9  |  -.9349101   .2177724    -4.29   0.000    -1.363362   -.5064586
         10  |  -.9487989   .2172982    -4.37   0.000    -1.376318   -.5212802
         11  |  -.9229229   .2168866    -4.26   0.000    -1.349632   -.4962141
         12  |  -.9395948   .2169959    -4.33   0.000    -1.366519   -.5126709
         13  |   -.924583   .2176755    -4.25   0.000    -1.352844    -.496322
             |
       _cons |   1.243673   .2144978     5.80   0.000      .821664    1.665682
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,320      .29286    .4895986          0   3.348224
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8357
                                                    Adj R-squared     = 0.7796
                                                    Root MSE          = 0.2305

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0790509   .0550507     1.44   0.152    -.0292573    .1873591
             |
 scale_group |
          2  |  -.1703095   .0736869    -2.31   0.021    -.3152832   -.0253358
          3  |          0  (omitted)
          4  |  -.0245725   .0524331    -0.47   0.640    -.1277308    .0785859
          5  |  -.0454608   .0526467    -0.86   0.389    -.1490394    .0581178
          6  |  -.0163575   .0689096    -0.24   0.813    -.1519321    .1192172
          7  |    .013901   .0689648     0.20   0.840    -.1217824    .1495843
          8  |  -.0224065   .0689648    -0.32   0.745    -.1580898    .1132769
          9  |   .0355598   .0773215     0.46   0.646    -.1165647    .1876844
         10  |          0  (empty)
         11  |   .0253723   .0757794     0.33   0.738    -.1237183    .1744629
         12  |   -.110663   .0504359    -2.19   0.029    -.2098921    -.011434
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1951292   .1005072    -1.94   0.053    -.3928701    .0026116
          7  |   -.172906   .1286721    -1.34   0.180    -.4260592    .0802471
          8  |  -.2049602   .1082925    -1.89   0.059    -.4180179    .0080975
          9  |   -.211562   .1020777    -2.07   0.039    -.4123925   -.0107314
         10  |  -.1880666   .1063012    -1.77   0.078    -.3972067    .0210734
         11  |  -.1940902   .1073454    -1.81   0.072    -.4052845    .0171041
         12  |  -.1903848   .1096535    -1.74   0.083    -.4061202    .0253506
         13  |  -.1302153    .111949    -1.16   0.246    -.3504669    .0900362
             |
       _cons |    .522539   .1181993     4.42   0.000     .2899903    .7550876
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,320    .3130857    .4782484          0   2.484288

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(856 missing values generated)
(856 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,134
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(16, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7805
                                                    Adj R-squared     = 0.6922
                                                    Root MSE          = 0.2431

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0384441   .0598402     0.64   0.521    -.0792831    .1561713
             |
 scale_group |
          2  |   .0343997   .0599711     0.57   0.567    -.0835849    .1523844
          3  |          0  (omitted)
          4  |   .2630802   .0574912     4.58   0.000     .1499744     .376186
          5  |   .1655476   .0868033     1.91   0.057    -.0052255    .3363208
          6  |   .2479069   .0848511     2.92   0.004     .0809744    .4148394
          7  |   .3589219   .1019812     3.52   0.000     .1582884    .5595554
          8  |   .3666468   .1019812     3.60   0.000     .1660133    .5672803
          9  |   .1162045    .080912     1.44   0.152    -.0429784    .2753875
         10  |          0  (empty)
         11  |   .3633524   .0758891     4.79   0.000     .2140513    .5126535
         12  |   .0417489   .0515643     0.81   0.419    -.0596966    .1431943
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0910014   .0912861    -1.00   0.320    -.2705939    .0885911
          7  |   .0701868   .1039416     0.68   0.500    -.1343036    .2746772
          8  |   .0099656   .0633284     0.16   0.875    -.1146241    .1345553
          9  |   .0497525   .0692985     0.72   0.473    -.0865825    .1860876
         10  |   .1095532   .0647534     1.69   0.092    -.0178399    .2369463
         11  |   .1908293   .0770276     2.48   0.014     .0392884    .3423702
         12  |   .2173754   .0705317     3.08   0.002     .0786142    .3561366
         13  |   .1420394   .0764316     1.86   0.064    -.0083289    .2924077
             |
       _cons |  -.1068628   .0873964    -1.22   0.222    -.2788028    .0650772
------------------------------------------------------------------------------
(856 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,134         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,134    .2424093    .4485261          0   2.964889
(856 missing values generated)
(856 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,134
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(16, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8460
                                                    Adj R-squared     = 0.7840
                                                    Root MSE          = 0.2141

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0588553   .0522392    -1.13   0.261    -.1616285    .0439179
             |
 scale_group |
          2  |   .0787664    .055457     1.42   0.156    -.0303374    .1878702
          3  |          0  (omitted)
          4  |    .113635   .0386288     2.94   0.004     .0376382    .1896318
          5  |    .074313    .037641     1.97   0.049     .0002597    .1483662
          6  |   .0517169   .0642988     0.80   0.422    -.0747818    .1782156
          7  |   .0929584   .0638046     1.46   0.146    -.0325681    .2184849
          8  |   .0929584   .0638046     1.46   0.146    -.0325681    .2184849
          9  |   .0870421   .0378746     2.30   0.022     .0125292    .1615549
         10  |          0  (empty)
         11  |   .0837599   .0586677     1.43   0.154    -.0316605    .1991804
         12  |   .0677145   .0307377     2.20   0.028     .0072424    .1281865
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2275453   .1340618    -1.70   0.091    -.4912929    .0362024
          7  |  -.2396945   .1132482    -2.12   0.035    -.4624942   -.0168947
          8  |  -.1882472   .1093344    -1.72   0.086    -.4033472    .0268527
          9  |  -.1586469   .1107336    -1.43   0.153    -.3764996    .0592057
         10  |  -.1006811   .1079885    -0.93   0.352    -.3131332     .111771
         11  |  -.0449653   .1139905    -0.39   0.693    -.2692255     .179295
         12  |  -.1083408   .1125448    -0.96   0.336    -.3297566    .1130751
         13  |  -.0122137   .1273227    -0.10   0.924    -.2627032    .2382758
             |
       _cons |   .3117507   .1127799     2.76   0.006     .0898722    .5336293
------------------------------------------------------------------------------
(856 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,134         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,134    .2683894    .4656796          0   3.249044
(856 missing values generated)
(856 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,134
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(16, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8053
                                                    Adj R-squared     = 0.7269
                                                    Root MSE          = 0.2105

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0583421   .0449104     1.30   0.195    -.0300128    .1466971
             |
 scale_group |
          2  |  -.1350973   .1009787    -1.34   0.182    -.3337587    .0635641
          3  |          0  (omitted)
          4  |  -.0101762   .0274712    -0.37   0.711    -.0642218    .0438694
          5  |  -.0433052   .0490137    -0.88   0.378    -.1397327    .0531224
          6  |  -.0963086    .066691    -1.44   0.150    -.2275136    .0348965
          7  |  -.0649932    .059688    -1.09   0.277    -.1824208    .0524345
          8  |  -.0649932    .059688    -1.09   0.277    -.1824209    .0524345
          9  |   .0076092   .0587864     0.13   0.897    -.1080448    .1232631
         10  |          0  (empty)
         11  |   .0246761   .0453392     0.54   0.587    -.0645223    .1138744
         12  |  -.0884545   .0786117    -1.13   0.261     -.243112     .066203
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1966193   .1092552    -1.80   0.073    -.4115636    .0183249
          7  |    -.21882   .1102008    -1.99   0.048    -.4356244   -.0020156
          8  |  -.1599337   .0999641    -1.60   0.111    -.3565989    .0367316
          9  |  -.2474192   .1008635    -2.45   0.015    -.4458539   -.0489845
         10  |  -.2234711   .0979328    -2.28   0.023    -.4161399   -.0308022
         11  |  -.2336473    .098866    -2.36   0.019    -.4281522   -.0391424
         12  |  -.2157676   .0999216    -2.16   0.032    -.4123493   -.0191859
         13  |  -.1942097   .1006074    -1.93   0.054    -.3921406    .0037212
             |
       _cons |   .4884603   .1049449     4.65   0.000     .2819962    .6949245
------------------------------------------------------------------------------
(856 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,134         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,134    .2808279    .4325599          0     3.7143
(856 missing values generated)
(856 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,134
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(16, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6902
                                                    Adj R-squared     = 0.5655
                                                    Root MSE          = 0.1616

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0041959   .0289383     0.14   0.885    -.0527361    .0611278
             |
 scale_group |
          2  |   .1757949   .0794619     2.21   0.028     .0194649    .3321249
          3  |          0  (omitted)
          4  |   .0841955   .0249685     3.37   0.001     .0350735    .1333176
          5  |   .0884735   .0335402     2.64   0.009     .0224878    .1544592
          6  |   .0815814   .0417237     1.96   0.051    -.0005042    .1636669
          7  |  -.0829409    .066933    -1.24   0.216    -.2146221    .0487402
          8  |  -.0829409    .066933    -1.24   0.216    -.2146221    .0487402
          9  |   .0152345   .0321101     0.47   0.636    -.0479375    .0784065
         10  |          0  (empty)
         11  |   .0469205   .0344947     1.36   0.175     -.020943     .114784
         12  |   .0388547   .0347099     1.12   0.264    -.0294322    .1071416
             |
  year_group |
          5  |          0  (empty)
          6  |   .2211331   .2225803     0.99   0.321    -.2167623    .6590284
          7  |   .0836197    .198784     0.42   0.674    -.3074598    .4746991
          8  |   .0428874    .190702     0.22   0.822    -.3322918    .4180665
          9  |   .0373577   .1939666     0.19   0.847    -.3442441    .4189596
         10  |   .0063329   .1940913     0.03   0.974    -.3755143    .3881801
         11  |   .0699309   .1952338     0.36   0.720    -.3141641    .4540258
         12  |   .0348588   .1951883     0.18   0.858    -.3491467    .4188642
         13  |   .0236786   .1954805     0.12   0.904    -.3609016    .4082588
             |
       _cons |  -.0102278   .1940389    -0.05   0.958    -.3919719    .3715162
------------------------------------------------------------------------------
(856 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,134         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,134    .1184643     .283036          0   2.850696
(856 missing values generated)
(856 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,134
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(16, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7892
                                                    Adj R-squared     = 0.7044
                                                    Root MSE          = 0.2621

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0456978   .0488338     0.94   0.350    -.0503757    .1417713
             |
 scale_group |
          2  |  -.1283566   .1047321    -1.23   0.221    -.3344023     .077689
          3  |          0  (omitted)
          4  |   -.005902   .0446044    -0.13   0.895    -.0936548    .0818507
          5  |   .0737519   .0705656     1.05   0.297    -.0650759    .2125797
          6  |  -.0666073   .0775932    -0.86   0.391     -.219261    .0860465
          7  |   .0319846   .0856435     0.37   0.709    -.1365068    .2004761
          8  |    .015475   .0856435     0.18   0.857    -.1530164    .1839665
          9  |   .1007562   .0834386     1.21   0.228    -.0633974    .2649098
         10  |          0  (empty)
         11  |  -.1044311   .0621758    -1.68   0.094    -.2267533    .0178911
         12  |  -.0111663   .0735815    -0.15   0.879    -.1559274    .1335949
             |
  year_group |
          5  |          0  (empty)
          6  |   .3437254   .1579412     2.18   0.030     .0329983    .6544524
          7  |   .2053788   .1702239     1.21   0.229    -.1295127    .5402703
          8  |   .2024023    .128601     1.57   0.116     -.050602    .4554066
          9  |   .2569886    .134124     1.92   0.056    -.0068814    .5208586
         10  |   .1971768   .1285991     1.53   0.126    -.0558238    .4501773
         11  |   .0800134   .1331813     0.60   0.548     -.182002    .3420288
         12  |   .0639973    .133946     0.48   0.633    -.1995225    .3275171
         13  |   .1007365   .1361686     0.74   0.460     -.167156     .368629
             |
       _cons |   .1158668   .1375638     0.84   0.400    -.1547705    .3865041
------------------------------------------------------------------------------
(856 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,134         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,134    .2758261    .4976813          0   3.159867
(856 missing values generated)
(856 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,134
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(16, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9744
                                                    Adj R-squared     = 0.9641
                                                    Root MSE          = 0.0988

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0027758   .0199887     0.14   0.890    -.0365491    .0421008
             |
 scale_group |
          2  |   -.013899   .0261361    -0.53   0.595    -.0653181    .0375202
          3  |          0  (omitted)
          4  |   .0170512   .0178463     0.96   0.340    -.0180589    .0521612
          5  |   .0045564   .0276762     0.16   0.869    -.0498925    .0590053
          6  |  -.0068724    .038202    -0.18   0.857    -.0820295    .0682846
          7  |  -.0421692   .0276045    -1.53   0.128    -.0964772    .0121387
          8  |  -.0346058   .0276045    -1.25   0.211    -.0889138    .0197021
          9  |   .0458254   .0256708     1.79   0.075    -.0046782     .096329
         10  |          0  (empty)
         11  |   .0011885   .0207503     0.06   0.954    -.0396348    .0420118
         12  |  -.0179658   .0176228    -1.02   0.309    -.0526362    .0167046
             |
  year_group |
          5  |          0  (empty)
          6  |   .0678789   .0596929     1.14   0.256    -.0495584    .1853162
          7  |    .005668    .051337     0.11   0.912    -.0953303    .1066662
          8  |   .0059103    .045614     0.13   0.897    -.0838287    .0956493
          9  |   .0094246   .0480054     0.20   0.844    -.0850192    .1038685
         10  |  -.0168644   .0465032    -0.36   0.717    -.1083528     .074624
         11  |  -.0104858   .0496636    -0.21   0.833    -.1081919    .0872202
         12  |  -.0128013    .051014    -0.25   0.802    -.1131642    .0875616
         13  |   .0091518   .0523225     0.17   0.861    -.0937852    .1120889
             |
       _cons |   .3289523   .0499089     6.59   0.000     .2307636     .427141
------------------------------------------------------------------------------
(856 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,134         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,134    .3333982     .531677          0   3.416883
(856 missing values generated)
(856 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,134
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(16, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9516
                                                    Adj R-squared     = 0.9321
                                                    Root MSE          = 0.1361

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0331537   .0328951    -1.01   0.314    -.0978703    .0315628
             |
 scale_group |
          2  |  -.1351689   .0972627    -1.39   0.166    -.3265195    .0561817
          3  |          0  (omitted)
          4  |   .0287091    .021925     1.31   0.191    -.0144252    .0718434
          5  |   .0162982   .0300529     0.54   0.588    -.0428266    .0754229
          6  |   .0207749   .0342131     0.61   0.544    -.0465345    .0880844
          7  |   .0141921   .0425822     0.33   0.739    -.0695823    .0979665
          8  |   .0141921   .0425822     0.33   0.739    -.0695823    .0979665
          9  |   .0146901   .0326105     0.45   0.653    -.0494664    .0788467
         10  |          0  (empty)
         11  |    .044477   .0449851     0.99   0.324    -.0440249    .1329788
         12  |  -.0184177   .0873542    -0.21   0.833    -.1902748    .1534393
             |
  year_group |
          5  |          0  (empty)
          6  |   -.417677   .0690518    -6.05   0.000    -.5535267   -.2818273
          7  |  -.5206123   .0790502    -6.59   0.000    -.6761323   -.3650923
          8  |  -.4856133   .0620952    -7.82   0.000    -.6077769   -.3634497
          9  |  -.4909865   .0615443    -7.98   0.000    -.6120661   -.3699069
         10  |  -.4829853   .0614407    -7.86   0.000    -.6038612   -.3621093
         11  |  -.4542762   .0626137    -7.26   0.000    -.5774599   -.3310925
         12  |  -.4539292   .0633414    -7.17   0.000    -.5785444   -.3293139
         13  |  -.4607938   .0664351    -6.94   0.000    -.5914954   -.3300922
             |
       _cons |   .7987944   .0687166    11.62   0.000     .6636042    .9339846
------------------------------------------------------------------------------
(856 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,134         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,134    .3320646    .5364764          0   3.375727
(856 missing values generated)
(856 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,134
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(16, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8536
                                                    Adj R-squared     = 0.7947
                                                    Root MSE          = 0.2276

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0569133   .0455832     1.25   0.213    -.0327653    .1465918
             |
 scale_group |
          2  |  -.0391089   .0657905    -0.59   0.553    -.1685424    .0903246
          3  |          0  (omitted)
          4  |   .0152099   .0330698     0.46   0.646    -.0498502      .08027
          5  |   .0151808   .0462749     0.33   0.743    -.0758585      .10622
          6  |   .0640921   .0658915     0.97   0.331    -.0655402    .1937244
          7  |  -.0167414   .0889089    -0.19   0.851     -.191657    .1581743
          8  |    -.03217   .0889089    -0.36   0.718    -.2070857    .1427456
          9  |   .0949689   .0601493     1.58   0.115    -.0233663    .2133041
         10  |          0  (empty)
         11  |   .1057289   .0543914     1.94   0.053    -.0012785    .2127364
         12  |   .0077075    .029493     0.26   0.794    -.0503157    .0657308
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1552892   .1336144    -1.16   0.246    -.4181567    .1075782
          7  |  -.2549025   .1532083    -1.66   0.097    -.5563182    .0465131
          8  |   -.343957   .1406492    -2.45   0.015    -.6206644   -.0672495
          9  |  -.3242625   .1408634    -2.30   0.022    -.6013914   -.0471336
         10  |   -.330489   .1406237    -2.35   0.019    -.6071463   -.0538317
         11  |  -.3076719   .1417786    -2.17   0.031    -.5866011   -.0287426
         12  |  -.3241168   .1428654    -2.27   0.024    -.6051843   -.0430493
         13  |  -.3074387   .1436658    -2.14   0.033    -.5900809   -.0247965
             |
       _cons |   .5977677   .1423368     4.20   0.000     .3177402    .8777952
------------------------------------------------------------------------------
(856 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,134         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,134    .3460096      .52086          0    2.37829

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(16, 322)        =   4.15
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7849
                                                    Adj R-squared     = 0.7048
                                                    Root MSE          = 0.2465

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |     .00878   .0613978     0.14   0.886    -.1120116    .1295715
             |
 scale_group |
          2  |   .0156149   .0422187     0.37   0.712    -.0674443    .0986742
          3  |   .0605194   .0809079     0.75   0.455    -.0986555    .2196944
          4  |   .0529563   .0789462     0.67   0.503    -.1023591    .2082717
          5  |  -.0425405   .0713879    -0.60   0.552    -.1829862    .0979052
          6  |   .0421622   .0929934     0.45   0.651     -.140789    .2251135
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0202669   .0881233    -0.23   0.818     -.193637    .1531032
         10  |          0  (omitted)
         11  |   .1850247   .0682153     2.71   0.007     .0508207    .3192287
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1916457    .151339    -1.27   0.206    -.4893837    .1060923
          7  |   .1517091   .1666323     0.91   0.363    -.1761164    .4795346
          8  |   .1392961    .151339     0.92   0.358    -.1584419    .4370341
          9  |   .1933757   .1561695     1.24   0.217    -.1138656    .5006171
         10  |   .2816593   .1571049     1.79   0.074    -.0274223     .590741
         11  |   .3317438   .1591205     2.08   0.038     .0186967    .6447909
         12  |   .3461952   .1564647     2.21   0.028     .0383731    .6540174
         13  |   .2744912    .158247     1.73   0.084    -.0368375    .5858199
             |
       _cons |  -.0540986   .1593946    -0.34   0.735    -.3676849    .2594878
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,266    .2485017    .4620595          0   3.396465
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(16, 322)        =   4.96
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8354
                                                    Adj R-squared     = 0.7742
                                                    Root MSE          = 0.2311

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0205059   .0606638    -0.34   0.736    -.1398534    .0988416
             |
 scale_group |
          2  |  -.0472862   .0440577    -1.07   0.284    -.1339634     .039391
          3  |  -.0246692   .0461524    -0.53   0.593    -.1154675     .066129
          4  |   .0646902    .040333     1.60   0.110    -.0146593    .1440398
          5  |  -.0207662   .0340336    -0.61   0.542    -.0877225      .04619
          6  |  -.0001412   .0529559    -0.00   0.998    -.1043244    .1040421
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0164178   .0425405     0.39   0.700    -.0672747    .1001102
         10  |          0  (omitted)
         11  |    .031884   .0503159     0.63   0.527    -.0671055    .1308734
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3159135   .2669072    -1.18   0.237    -.8410157    .2091887
          7  |  -.3493262   .2684677    -1.30   0.194    -.8774985    .1788461
          8  |   -.276525   .2669072    -1.04   0.301    -.8016272    .2485772
          9  |  -.2588862   .2679115    -0.97   0.335    -.7859643    .2681919
         10  |  -.1773459   .2677978    -0.66   0.508    -.7042003    .3495085
         11  |  -.1449034   .2693538    -0.54   0.591    -.6748189    .3850122
         12  |  -.1738205   .2679898    -0.65   0.517    -.7010526    .3534116
         13  |  -.0910644   .2744906    -0.33   0.740    -.6310858    .4489569
             |
       _cons |   .4507387   .2654195     1.70   0.090    -.0714366     .972914
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,266    .2715037    .4904636          0   4.025502
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(16, 322)        =   1.53
                                                    Prob > F          = 0.0875
                                                    R-squared         = 0.8146
                                                    Adj R-squared     = 0.7457
                                                    Root MSE          = 0.1955

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0288223   .0343008    -0.84   0.401    -.0963042    .0386596
             |
 scale_group |
          2  |  -.0364529   .0621318    -0.59   0.558    -.1586885    .0857827
          3  |  -.0140531   .0595601    -0.24   0.814    -.1312291    .1031229
          4  |  -.0878279    .046103    -1.91   0.058    -.1785291    .0028732
          5  |  -.1255531   .0472097    -2.66   0.008    -.2184315   -.0326747
          6  |  -.1660996   .0593169    -2.80   0.005    -.2827971    -.049402
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.1400674   .0551044    -2.54   0.011    -.2484776   -.0316572
         10  |          0  (omitted)
         11  |  -.1159826   .0473421    -2.45   0.015    -.2091215   -.0228437
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3976764   .2186211    -1.82   0.070    -.8277825    .0324297
          7  |  -.4954093    .219692    -2.26   0.025    -.9276223   -.0631963
          8  |  -.4597842   .2186211    -2.10   0.036    -.8898903   -.0296782
          9  |  -.4845294   .2198332    -2.20   0.028    -.9170201   -.0520387
         10  |  -.5150392   .2204445    -2.34   0.020    -.9487326   -.0813458
         11  |  -.5085489    .220116    -2.31   0.021     -.941596   -.0755018
         12  |  -.4997298   .2212515    -2.26   0.025    -.9350108   -.0644488
         13  |  -.4835285   .2206679    -2.19   0.029    -.9176613   -.0493957
             |
       _cons |   .8351105   .2193075     3.81   0.000      .403654    1.266567
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,266    .2590862    .4085103          0   2.787452
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(16, 322)        =   2.55
                                                    Prob > F          = 0.0010
                                                    R-squared         = 0.5768
                                                    Adj R-squared     = 0.4193
                                                    Root MSE          = 0.2157

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0353767   .0390215    -0.91   0.365     -.112146    .0413926
             |
 scale_group |
          2  |   .0242317   .0336097     0.72   0.471    -.0418907    .0903541
          3  |    .589202   .3968891     1.48   0.139    -.1916211    1.370025
          4  |   .0872394   .0425763     2.05   0.041     .0034766    .1710023
          5  |   .0948122   .0402795     2.35   0.019     .0155681    .1740564
          6  |    .074314   .0436903     1.70   0.090    -.0116406    .1602686
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0043928    .043717     0.10   0.920    -.0816141    .0903997
         10  |          0  (omitted)
         11  |   .0844416   .0356872     2.37   0.019     .0142322    .1546511
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .3463409   .2198754     1.58   0.116    -.0862328    .7789146
          7  |   .2071084   .2290255     0.90   0.367    -.2434669    .6576837
          8  |   .1596553   .2198754     0.73   0.468    -.2729184     .592229
          9  |   .1351893   .2201801     0.61   0.540     -.297984    .5683625
         10  |    .117834   .2208339     0.53   0.594    -.3166255    .5522935
         11  |     .16625   .2214837     0.75   0.453    -.2694878    .6019879
         12  |   .1081843   .2217477     0.49   0.626    -.3280728    .5444415
         13  |     .14462   .2223993     0.65   0.516    -.2929192    .5821591
             |
       _cons |  -.0478251   .2211925    -0.22   0.829    -.4829902    .3873399
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,266    .1475337    .2999466          0   2.715513
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(16, 322)        =   3.33
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7816
                                                    Adj R-squared     = 0.7004
                                                    Root MSE          = 0.2577

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0777587   .0567389     1.37   0.171     -.033867    .1893844
             |
 scale_group |
          2  |   -.012516   .0640607    -0.20   0.845    -.1385464    .1135143
          3  |  -.0192521   .1341817    -0.14   0.886    -.2832357    .2447315
          4  |   .0623298   .0588301     1.06   0.290    -.0534102    .1780697
          5  |    .115025   .0661092     1.74   0.083    -.0150354    .2450854
          6  |   .0157889   .0698611     0.23   0.821     -.121653    .1532308
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0949872   .0749156     1.27   0.206    -.0523986    .2423731
         10  |          0  (omitted)
         11  |   .0041995   .0526444     0.08   0.936     -.099371      .10777
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0944089    .335256    -0.28   0.778    -.7539777    .5651598
          7  |  -.1760775   .3537701    -0.50   0.619    -.8720702    .5199152
          8  |  -.1414991    .335256    -0.42   0.673    -.8010678    .5180696
          9  |   -.153364   .3394647    -0.45   0.652    -.8212128    .5144848
         10  |  -.2154096    .338376    -0.64   0.525    -.8811166    .4502974
         11  |  -.3385137   .3390277    -1.00   0.319    -1.005503    .3284753
         12  |  -.3222631   .3392398    -0.95   0.343    -.9896694    .3451432
         13  |  -.3163276   .3396392    -0.93   0.352    -.9845197    .3518644
             |
       _cons |   .4426358   .3358553     1.32   0.188    -.2181121    1.103384
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,266    .2657521    .4701935          0   3.034248
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(16, 322)        =   1.11
                                                    Prob > F          = 0.3448
                                                    R-squared         = 0.9680
                                                    Adj R-squared     = 0.9561
                                                    Root MSE          = 0.1081

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0388225   .0264678     1.47   0.143    -.0132492    .0908943
             |
 scale_group |
          2  |   .0045242   .0147595     0.31   0.759    -.0245131    .0335615
          3  |   .0104743   .0267535     0.39   0.696    -.0421595    .0631081
          4  |   .1076357   .0587748     1.83   0.068    -.0079954    .2232668
          5  |   .0857795   .0547374     1.57   0.118    -.0219086    .1934676
          6  |   .1081338   .0754767     1.43   0.153     -.040356    .2566235
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .1109634   .0624635     1.78   0.077    -.0119247    .2338516
         10  |          0  (omitted)
         11  |   .1093132   .0666998     1.64   0.102    -.0219092    .2405356
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .1161637   .0537179     2.16   0.031     .0104812    .2218461
          7  |   .0445397    .060092     0.74   0.459    -.0736829    .1627622
          8  |   .0246431   .0537179     0.46   0.647    -.0810393    .1303255
          9  |   .0363829   .0560933     0.65   0.517    -.0739728    .1467386
         10  |    .011535   .0552708     0.21   0.835    -.0972025    .1202725
         11  |   .0560648   .0611981     0.92   0.360    -.0643338    .1764634
         12  |   .0434878     .05987     0.73   0.468    -.0742981    .1612736
         13  |   .0511193   .0624348     0.82   0.414    -.0717124     .173951
             |
       _cons |   .1949662   .0747794     2.61   0.010     .0478483     .342084
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,266    .3091671    .5097985          0   3.192066
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(16, 322)        =   6.91
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9646
                                                    Adj R-squared     = 0.9514
                                                    Root MSE          = 0.1096

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0697642   .0309127    -2.26   0.025    -.1305806   -.0089477
             |
 scale_group |
          2  |   .0102422   .0322166     0.32   0.751    -.0531395    .0736239
          3  |  -.0277562   .2030767    -0.14   0.891    -.4272809    .3717684
          4  |   .0089341   .0198972     0.45   0.654    -.0302107     .048079
          5  |   -.006204   .0218126    -0.28   0.776    -.0491172    .0367092
          6  |  -.0036061   .0217856    -0.17   0.869    -.0464662    .0392539
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0182171   .0283258     0.64   0.521    -.0375099     .073944
         10  |          0  (omitted)
         11  |  -.0024914   .0247028    -0.10   0.920    -.0510907    .0461078
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5881161   .0628035    -9.36   0.000    -.7116732    -.464559
          7  |  -.5655435   .0657602    -8.60   0.000    -.6949173   -.4361696
          8  |   -.585766   .0628035    -9.33   0.000    -.7093231   -.4622089
          9  |  -.5645141   .0651561    -8.66   0.000    -.6926996   -.4363287
         10  |  -.5830879   .0648083    -9.00   0.000     -.710589   -.4555868
         11  |   -.571103   .0661626    -8.63   0.000    -.7012686   -.4409374
         12  |  -.5794355   .0661469    -8.76   0.000    -.7095701   -.4493009
         13  |  -.5694629   .0714624    -7.97   0.000    -.7100551   -.4288707
             |
       _cons |   .9060272    .066843    13.55   0.000     .7745231    1.037531
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,266    .3000401    .5011122          0   3.236673
(724 missing values generated)
(724 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,266
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(16, 322)        =   2.43
                                                    Prob > F          = 0.0018
                                                    R-squared         = 0.9123
                                                    Adj R-squared     = 0.8797
                                                    Root MSE          = 0.1648

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .026511   .0381083     0.70   0.487    -.0484616    .1014837
             |
 scale_group |
          2  |  -.0954239   .0505877    -1.89   0.060     -.194948    .0041001
          3  |   .2892679   .2493169     1.16   0.247    -.2012278    .7797637
          4  |   .0564494   .0363404     1.55   0.121    -.0150452     .127944
          5  |    .075919    .038794     1.96   0.051    -.0004028    .1522408
          6  |   .0533731   .0457119     1.17   0.244    -.0365586    .1433049
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0764761   .0474633     1.61   0.108    -.0169011    .1698534
         10  |          0  (omitted)
         11  |   .0507925    .036887     1.38   0.169    -.0217774    .1233624
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .0506601   .1558525     0.33   0.745    -.2559575    .3572778
          7  |  -.0510719    .166403    -0.31   0.759    -.3784462    .2763025
          8  |  -.0782634   .1558525    -0.50   0.616    -.3848811    .2283543
          9  |  -.1068849   .1560419    -0.68   0.494    -.4138753    .2001054
         10  |  -.1144824   .1575905    -0.73   0.468    -.4245195    .1955546
         11  |   -.147997   .1573645    -0.94   0.348    -.4575894    .1615954
         12  |  -.1364523   .1577144    -0.87   0.388    -.4467331    .1738285
         13  |  -.1310604   .1575873    -0.83   0.406    -.4410911    .1789704
             |
       _cons |   .3672775   .1581347     2.32   0.021     .0561698    .6783852
------------------------------------------------------------------------------
(724 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,266         772           0        772        772

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,266    .2960745    .4688757          0   2.482095

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(698 missing values generated)
(698 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,292
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7576
                                                    Adj R-squared     = 0.6787
                                                    Root MSE          = 0.2247

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0290481   .0413822    -0.70   0.483    -.1104696    .0523734
             |
 scale_group |
          2  |   .0807425   .0888532     0.91   0.364    -.0940804    .2555654
          3  |          0  (omitted)
          4  |   .1571942     .05005     3.14   0.002     .0587184      .25567
          5  |   .0997008   .0429078     2.32   0.021     .0152776     .184124
          6  |   .0729838   .0705425     1.03   0.302     -.065812    .2117796
          7  |   .1828712   .0648557     2.82   0.005     .0552645    .3104778
          8  |   .1899995   .0648557     2.93   0.004     .0623929    .3176062
          9  |   .1030353   .0651004     1.58   0.114    -.0250529    .2311234
         10  |   .1873868   .0930415     2.01   0.045     .0043232    .3704504
         11  |    .210988   .0598163     3.53   0.000     .0932966    .3286794
         12  |   .0757151   .0851062     0.89   0.374    -.0917354    .2431655
             |
  year_group |
          5  |   .0332405   .0060277     5.51   0.000     .0213806    .0451003
          6  |  -.0157556    .175288    -0.09   0.928     -.360643    .3291319
          7  |   .2572794   .1128957     2.28   0.023     .0351517    .4794071
          8  |   .2552686   .0511666     4.99   0.000     .1545958    .3559414
          9  |    .246452   .0374471     6.58   0.000     .1727731    .3201309
         10  |   .3561775   .0060277    59.09   0.000     .3443176    .3680373
         11  |   .4166947   .0464331     8.97   0.000     .3253353    .5080541
         12  |   .4074857   .0410151     9.94   0.000     .3267865    .4881849
         13  |   .4519195    .056159     8.05   0.000      .341424    .5624151
             |
       _cons |  -.2357422   .0467013    -5.05   0.000    -.3276293   -.1438551
------------------------------------------------------------------------------
(698 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,292         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,292    .2136395    .3845826          0   2.580369
(698 missing values generated)
(698 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,292
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(16, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8235
                                                    Adj R-squared     = 0.7660
                                                    Root MSE          = 0.2360

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0401312   .0518742     0.77   0.440    -.0619337    .1421962
             |
 scale_group |
          2  |   .0153288    .058639     0.26   0.794    -.1000463    .1307039
          3  |          0  (omitted)
          4  |   .1263953   .0318643     3.97   0.000     .0637007    .1890899
          5  |   .0931769   .0395593     2.36   0.019      .015342    .1710118
          6  |   .0786747    .064593     1.22   0.224    -.0484152    .2057646
          7  |   .1180205   .0399933     2.95   0.003     .0393318    .1967093
          8  |   .1180205   .0399933     2.95   0.003     .0393318    .1967093
          9  |   .0992507   .0352753     2.81   0.005     .0298449    .1686565
         10  |   .1329199   .0579278     2.29   0.022     .0189443    .2468956
         11  |   .0893463   .0445027     2.01   0.046      .001785    .1769076
         12  |   .0449075   .0524655     0.86   0.393     -.058321    .1481359
             |
  year_group |
          5  |  -.4829278          .        .       .            .           .
          6  |  -.4357912   .0634549    -6.87   0.000    -.5606417   -.3109407
          7  |  -.4540001   .0435342   -10.43   0.000    -.5396557   -.3683444
          8  |  -.3410776   .0313105   -10.89   0.000    -.4026824   -.2794728
          9  |  -.3145752   .0292585   -10.75   0.000    -.3721426   -.2570077
         10  |  -.2414639          .        .       .            .           .
         11  |  -.1814773   .0352833    -5.14   0.000    -.2508988   -.1120558
         12  |  -.2794209   .0321382    -8.69   0.000    -.3426543   -.2161875
         13  |  -.1479507   .0997218    -1.48   0.139     -.344158    .0482567
             |
       _cons |   .4241263   .0425237     9.97   0.000     .3404588    .5077937
------------------------------------------------------------------------------
(698 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,292         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,292     .255762    .4696574          0     4.3361
(698 missing values generated)
(698 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,292
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7638
                                                    Adj R-squared     = 0.6869
                                                    Root MSE          = 0.2034

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.011117   .0352306    -0.32   0.753    -.0804348    .0582009
             |
 scale_group |
          2  |  -.0756455   .0645287    -1.17   0.242    -.2026088    .0513177
          3  |          0  (omitted)
          4  |   .0372768   .0406199     0.92   0.359    -.0426448    .1171983
          5  |    .015433   .0385788     0.40   0.689    -.0604727    .0913387
          6  |   .0319215   .0544931     0.59   0.558    -.0752962    .1391392
          7  |  -.0388571   .0462551    -0.84   0.402    -.1298663    .0521521
          8  |  -.0388571   .0462551    -0.84   0.402    -.1298663    .0521521
          9  |   .0477585    .049167     0.97   0.332    -.0489798    .1444969
         10  |   .1579802   .0707216     2.23   0.026     .0188321    .2971283
         11  |   .0531496   .0478898     1.11   0.268    -.0410759    .1473751
         12  |  -.1007935   .0294306    -3.42   0.001    -.1586996   -.0428875
             |
  year_group |
          5  |   .2112929   .0996411     2.12   0.035     .0152443    .4073415
          6  |  -.0233941   .1167689    -0.20   0.841    -.2531425    .2063543
          7  |  -.0847762   .1169157    -0.73   0.469    -.3148133    .1452609
          8  |  -.0859559   .1115792    -0.77   0.442    -.3054933    .1335816
          9  |  -.1538042   .1045072    -1.47   0.142     -.359427    .0518187
         10  |  -.1328127   .0996411    -1.33   0.184    -.3288612    .0632359
         11  |  -.1385172   .1030091    -1.34   0.180    -.3411926    .0641582
         12  |  -.1326666   .1050628    -1.26   0.208    -.3393826    .0740494
         13  |  -.1302933   .1045168    -1.25   0.213    -.3359351    .0753484
             |
       _cons |   .3777378   .1060185     3.56   0.000     .1691413    .5863343
------------------------------------------------------------------------------
(698 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,292         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,292    .2452278    .3636394          0   2.248641
(698 missing values generated)
(698 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,292
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6064
                                                    Adj R-squared     = 0.4783
                                                    Root MSE          = 0.1829

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0376059   .0399218    -0.94   0.347     -.116154    .0409422
             |
 scale_group |
          2  |  -.1147468   .1394668    -0.82   0.411    -.3891545    .1596608
          3  |          0  (omitted)
          4  |   .0848228   .0363065     2.34   0.020      .013388    .1562576
          5  |   .0678677   .0359104     1.89   0.060    -.0027877     .138523
          6  |   .0371463   .0437651     0.85   0.397    -.0489637    .1232562
          7  |  -.0369926   .0507462    -0.73   0.467    -.1368381    .0628529
          8  |  -.0369926   .0507462    -0.73   0.467    -.1368381    .0628529
          9  |  -.0082072   .0411592    -0.20   0.842    -.0891899    .0727755
         10  |   .0028325   .0496648     0.06   0.955    -.0948853    .1005504
         11  |    .085252   .0405284     2.10   0.036     .0055105    .1649935
         12  |  -.1578406   .1337406    -1.18   0.239    -.4209816    .1053004
             |
  year_group |
          5  |   .1452415   .1659195     0.88   0.382    -.1812131    .4716961
          6  |  -.2313261   .1733681    -1.33   0.183    -.5724361     .109784
          7  |  -.1580976   .1731696    -0.91   0.362     -.498817    .1826218
          8  |  -.1966828    .172587    -1.14   0.255    -.5362559    .1428902
          9  |  -.2843494   .1677552    -1.70   0.091    -.6144159     .045717
         10  |  -.2808423   .1659195    -1.69   0.092    -.6072969    .0456123
         11  |   -.284558   .1678184    -1.70   0.091    -.6147486    .0456327
         12  |   -.300368   .1674773    -1.79   0.074    -.6298874    .0291515
         13  |  -.3140142   .1680527    -1.87   0.063    -.6446659    .0166374
             |
       _cons |   .3888012   .1786572     2.18   0.030     .0372848    .7403177
------------------------------------------------------------------------------
(698 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,292         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,292     .107798    .2455439          0   3.155827
(698 missing values generated)
(698 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,292
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7981
                                                    Adj R-squared     = 0.7324
                                                    Root MSE          = 0.2371

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0237679   .0414475     0.57   0.567     -.057782    .1053177
             |
 scale_group |
          2  |  -.0650779   .0711822    -0.91   0.361    -.2051322    .0749765
          3  |          0  (omitted)
          4  |  -.0386178   .0542437    -0.71   0.477    -.1453449    .0681094
          5  |   .0406787   .0501622     0.81   0.418    -.0580178    .1393752
          6  |  -.0678996   .0611051    -1.11   0.267    -.1881269    .0523277
          7  |  -.0381737   .0647468    -0.59   0.556     -.165566    .0892186
          8  |  -.0012671   .0647468    -0.02   0.984    -.1286594    .1261252
          9  |   .0270546   .0817621     0.33   0.741    -.1338162    .1879254
         10  |  -.1674833   .0763596    -2.19   0.029    -.3177246   -.0172421
         11  |  -.0868578   .0615978    -1.41   0.160    -.2080544    .0343387
         12  |  -.0545962   .0444996    -1.23   0.221    -.1421514     .032959
             |
  year_group |
          5  |   .0368467   .1422254     0.26   0.796    -.2429886    .3166819
          6  |   .4209782   .1540012     2.73   0.007     .1179735    .7239828
          7  |   .4123348   .1736005     2.38   0.018     .0707675     .753902
          8  |   .3808749   .1542286     2.47   0.014     .0774228     .684327
          9  |   .4693842    .150071     3.13   0.002     .1741124     .764656
         10  |   .4541625   .1422254     3.19   0.002     .1743272    .7339978
         11  |   .3203595    .146382     2.19   0.029     .0323459    .6083731
         12  |    .331248   .1464504     2.26   0.024     .0430999    .6193961
         13  |   .3684252   .1470061     2.51   0.013     .0791838    .6576667
             |
       _cons |  -.0974133    .148675    -0.66   0.513    -.3899385     .195112
------------------------------------------------------------------------------
(698 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,292         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,292    .2612665    .4543636          0   2.650487
(698 missing values generated)
(698 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,292
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9742
                                                    Adj R-squared     = 0.9657
                                                    Root MSE          = 0.0896

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0014569   .0164968    -0.09   0.930    -.0339151    .0310013
             |
 scale_group |
          2  |  -.0022513   .0175035    -0.13   0.898    -.0366903    .0321877
          3  |          0  (omitted)
          4  |   -.016466   .0183964    -0.90   0.371    -.0526619    .0197298
          5  |  -.0225363   .0148843    -1.51   0.131    -.0518219    .0067494
          6  |   .0564127   .0546279     1.03   0.303    -.0510702    .1638956
          7  |  -.0662858   .0289796    -2.29   0.023    -.1233045   -.0092671
          8  |  -.0628976   .0289796    -2.17   0.031    -.1199163   -.0058789
          9  |  -.0022051   .0209821    -0.11   0.916    -.0434884    .0390783
         10  |  -.1291455   .0592708    -2.18   0.030    -.2457636   -.0125273
         11  |   .0041904    .026697     0.16   0.875    -.0483371     .056718
         12  |   .0094031    .011437     0.82   0.412    -.0130998     .031906
             |
  year_group |
          5  |  -.1336836   .0306464    -4.36   0.000    -.1939819   -.0733854
          6  |  -.0783857   .0474832    -1.65   0.100    -.1718111    .0150396
          7  |  -.0594838   .0382804    -1.55   0.121    -.1348022    .0158347
          8  |   -.049771   .0343867    -1.45   0.149    -.1174284    .0178865
          9  |  -.0566534   .0337224    -1.68   0.094    -.1230039    .0096971
         10  |  -.0784612   .0306464    -2.56   0.011    -.1387595    -.018163
         11  |   -.073839   .0355099    -2.08   0.038    -.1437064   -.0039716
         12  |   -.059519   .0344502    -1.73   0.085    -.1273014    .0082633
         13  |  -.0757418    .038677    -1.96   0.051    -.1518407    .0003571
             |
       _cons |   .3992088   .0361559    11.04   0.000     .3280703    .4703472
------------------------------------------------------------------------------
(698 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,292         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,292    .2936516     .462827          0   2.449526
(698 missing values generated)
(698 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,292
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9333
                                                    Adj R-squared     = 0.9116
                                                    Root MSE          = 0.1434

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0402355   .0332016    -1.21   0.226    -.1055612    .0250902
             |
 scale_group |
          2  |  -.0841548   .0873812    -0.96   0.336    -.2560815     .087772
          3  |          0  (omitted)
          4  |  -.0340734   .0295131    -1.15   0.249    -.0921418     .023995
          5  |  -.0254915   .0245477    -1.04   0.300    -.0737902    .0228073
          6  |   -.025665   .0366555    -0.70   0.484    -.0977864    .0464565
          7  |  -.0224527   .0349254    -0.64   0.521    -.0911701    .0462646
          8  |  -.0224527   .0349254    -0.64   0.521    -.0911701    .0462646
          9  |  -.0155483   .0417827    -0.37   0.710    -.0977578    .0666612
         10  |  -.0860883   .0414703    -2.08   0.039    -.1676831   -.0044934
         11  |  -.0537039   .0410753    -1.31   0.192    -.1345216    .0271137
         12  |  -.0419875     .06476    -0.65   0.517    -.1694059     .085431
             |
  year_group |
          5  |  -.2075161   .0267943    -7.74   0.000    -.2602351   -.1547971
          6  |   -.488479   .1502751    -3.25   0.001    -.7841525   -.1928056
          7  |  -.6062655    .055532   -10.92   0.000    -.7155273   -.4970037
          8  |  -.5875755   .0376947   -15.59   0.000    -.6617416   -.5134094
          9  |  -.5503372   .0367046   -14.99   0.000    -.6225552   -.4781192
         10  |  -.5740682   .0267943   -21.43   0.000    -.6267872   -.5213492
         11  |  -.5113469   .0397528   -12.86   0.000    -.5895625   -.4331313
         12  |  -.5094354   .0399458   -12.75   0.000    -.5880305   -.4308402
         13  |  -.5026524   .0469494   -10.71   0.000    -.5950276   -.4102772
             |
       _cons |   .9026753   .0491049    18.38   0.000      .806059    .9992916
------------------------------------------------------------------------------
(698 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,292         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,292    .2853765    .4608142          0   2.013467
(698 missing values generated)
(698 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,292
Absorbed variable: factor_pair                      No. of categories =    298
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7881
                                                    Adj R-squared     = 0.7191
                                                    Root MSE          = 0.2734

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0285596   .0530973    -0.54   0.591     -.133031    .0759119
             |
 scale_group |
          2  |  -.1986148   .1484799    -1.34   0.182     -.490756    .0935264
          3  |          0  (omitted)
          4  |   .1530064   .0545371     2.81   0.005     .0457019    .2603108
          5  |   .1684853   .0468846     3.59   0.000     .0762377    .2607329
          6  |   .1410332   .0873909     1.61   0.108    -.0309125     .312979
          7  |   .0054006   .0573616     0.09   0.925    -.1074611    .1182623
          8  |   .0021691   .0573616     0.04   0.970    -.1106927    .1150308
          9  |   .2866484   .0718555     3.99   0.000     .1452693    .4280276
         10  |   .0310701   .0826478     0.38   0.707    -.1315434    .1936837
         11  |   .1824871   .0692941     2.63   0.009     .0461477    .3188265
         12  |  -.0788496   .1415584    -0.56   0.578    -.3573725    .1996733
             |
  year_group |
          5  |  -.1474889   .0086932   -16.97   0.000     -.164593   -.1303847
          6  |  -.4170622    .067391    -6.19   0.000    -.5496573   -.2844671
          7  |  -.3129907   .0832253    -3.76   0.000    -.4767404    -.149241
          8  |   -.276708   .0748331    -3.70   0.000    -.4239456   -.1294703
          9  |  -.3588006   .0381314    -9.41   0.000     -.433826   -.2837753
         10  |   -.252532   .0086932   -29.05   0.000    -.2696362   -.2354278
         11  |  -.3249182   .0435696    -7.46   0.000    -.4106433    -.239193
         12  |  -.2774895   .0481698    -5.76   0.000    -.3722658   -.1827131
         13  |  -.2643229   .0610668    -4.33   0.000    -.3844747   -.1441712
             |
       _cons |   .5654991   .0773341     7.31   0.000     .4133405    .7176576
------------------------------------------------------------------------------
(698 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,292         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,292    .3341884    .5048763          0   2.880486

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(826 missing values generated)
(826 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,164
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7126
                                                    Adj R-squared     = 0.5988
                                                    Root MSE          = 0.2762

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0190735   .0673817    -0.28   0.777    -.1516453    .1134983
             |
 scale_group |
          2  |   .0644086   .2052698     0.31   0.754    -.3394547     .468272
          3  |          0  (omitted)
          4  |   .0302277   .0803191     0.38   0.707    -.1277982    .1882536
          5  |   -.051271   .0336908    -1.52   0.129     -.117557    .0150149
          6  |   .0227698   .0704379     0.32   0.747    -.1158151    .1613546
          7  |   .0167679   .0915201     0.18   0.855    -.1632957    .1968315
          8  |          0  (empty)
          9  |  -.0414824   .0897617    -0.46   0.644    -.2180864    .1351216
         10  |          0  (empty)
         11  |   .1126483   .0744375     1.51   0.131    -.0338057    .2591023
         12  |   .1218983   .2239979     0.54   0.587    -.3188121    .5626088
             |
  year_group |
          5  |   .0409343   .0055398     7.39   0.000     .0300349    .0518337
          6  |  -.2376961   .1541721    -1.54   0.124     -.541026    .0656338
          7  |   .0378645   .1559075     0.24   0.808    -.2688797    .3446088
          8  |   .0615591   .1169078     0.53   0.599    -.1684541    .2915722
          9  |   .1037234   .1175344     0.88   0.378    -.1275227    .3349695
         10  |   .2253586   .1162426     1.94   0.053    -.0033458     .454063
         11  |   .2469512   .1258806     1.96   0.051    -.0007159    .4946182
         12  |   .2551977   .1232998     2.07   0.039     .0126084     .497787
         13  |   .2195163   .1268087     1.73   0.084    -.0299767    .4690092
             |
       _cons |   .0342537   .1370413     0.25   0.803    -.2353717    .3038791
------------------------------------------------------------------------------
(826 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,164         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,164    .2480276    .4348279          0   3.356045
(826 missing values generated)
(826 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,164
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8525
                                                    Adj R-squared     = 0.7941
                                                    Root MSE          = 0.2143

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0461036    .055292    -0.83   0.405    -.1548893    .0626821
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1051282   .1210393    -0.87   0.386    -.3432701    .1330137
          4  |   .0052587   .0290202     0.18   0.856    -.0518378    .0623551
          5  |  -.0230518    .027646    -0.83   0.405    -.0774446    .0313411
          6  |  -.0247445   .0412215    -0.60   0.549    -.1058468    .0563577
          7  |    .008369   .0475032     0.18   0.860    -.0850924    .1018305
          8  |          0  (empty)
          9  |  -.0040616   .0376782    -0.11   0.914    -.0781925    .0700692
         10  |          0  (empty)
         11  |  -.0025612   .0429858    -0.06   0.953    -.0871347    .0820124
         12  |   .0259682   .0601307     0.43   0.666    -.0923375    .1442739
             |
  year_group |
          5  |  -.4731302   6.54e-09 -7.2e+07   0.000    -.4731302   -.4731302
          6  |   -.358024   .1778541    -2.01   0.045    -.7079477   -.0081004
          7  |  -.4632657   .1132566    -4.09   0.000    -.6860953    -.240436
          8  |  -.3621556   .1003947    -3.61   0.000    -.5596797   -.1646316
          9  |  -.3384521   .1013833    -3.34   0.001    -.5379212   -.1389829
         10  |   -.258872   .0997583    -2.59   0.010    -.4551441   -.0625999
         11  |   -.171016   .1107656    -1.54   0.124    -.3889447    .0469126
         12  |  -.2182284   .1072072    -2.04   0.043     -.429156   -.0073009
         13  |  -.1560934   .1176802    -1.33   0.186    -.3876264    .0754396
             |
       _cons |   .5550633    .109377     5.07   0.000     .3398667    .7702598
------------------------------------------------------------------------------
(826 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,164         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,164    .2721623    .4721592          0   3.474662
(826 missing values generated)
(826 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,164
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7567
                                                    Adj R-squared     = 0.6603
                                                    Root MSE          = 0.1995

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0183865   .0404992    -0.45   0.650    -.0980677    .0612947
             |
 scale_group |
          2  |    .109862   .0619827     1.77   0.077    -.0120875    .2318115
          3  |          0  (omitted)
          4  |   .3103267   .0357672     8.68   0.000     .2399556    .3806979
          5  |   .2465299   .0202496    12.17   0.000     .2066893    .2863705
          6  |   .2248254   .0428788     5.24   0.000     .1404625    .3091884
          7  |   .2691307   .0389283     6.91   0.000     .1925401    .3457212
          8  |          0  (empty)
          9  |   .3420724   .0628793     5.44   0.000     .2183588    .4657859
         10  |          0  (empty)
         11  |   .2814614   .0373194     7.54   0.000     .2080363    .3548865
         12  |  -.0171967    .055407    -0.31   0.756    -.1262087    .0918152
             |
  year_group |
          5  |   .3759666   .0866493     4.34   0.000     .2054862     .546447
          6  |  -.1499171   .1623825    -0.92   0.357    -.4694008    .1695666
          7  |  -.0362013   .1379611    -0.26   0.793    -.3076364    .2352338
          8  |  -.1049132   .1209258    -0.87   0.386    -.3428318    .1330053
          9  |  -.1455493   .1208589    -1.20   0.229    -.3833363    .0922376
         10  |   -.150534   .1193362    -1.26   0.208    -.3853251    .0842571
         11  |  -.1508961   .1203222    -1.25   0.211    -.3876272     .085835
         12  |  -.1170941   .1219528    -0.96   0.338    -.3570333     .122845
         13  |  -.1320078   .1215263    -1.09   0.278    -.3711078    .1070921
             |
       _cons |   .1335488   .1237801     1.08   0.281    -.1099856    .3770832
------------------------------------------------------------------------------
(826 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,164         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,164    .2305317    .3679755          0   2.909708
(826 missing values generated)
(826 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,164
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5895
                                                    Adj R-squared     = 0.4268
                                                    Root MSE          = 0.1922

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0268503   .0402477     0.67   0.505     -.052336    .1060367
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1580353   .0757384    -2.09   0.038    -.3070488   -.0090219
          4  |   .0301358   .0314769     0.96   0.339    -.0317941    .0920658
          5  |   .0605658   .0201238     3.01   0.003     .0209726     .100159
          6  |   .1174904   .0503715     2.33   0.020     .0183857    .2165952
          7  |  -.1081521    .069412    -1.56   0.120    -.2447186    .0284143
          8  |          0  (empty)
          9  |  -.0645415   .0432102    -1.49   0.136    -.1495565    .0204735
         10  |          0  (empty)
         11  |   .0606358   .0375871     1.61   0.108     -.013316    .1345875
         12  |  -.0629045   .0499917    -1.26   0.209    -.1612619     .035453
             |
  year_group |
          5  |   .0776835   .0019602    39.63   0.000     .0738268    .0815401
          6  |    .194644   .0659264     2.95   0.003     .0649354    .3243526
          7  |   .1672741   .0881791     1.90   0.059    -.0062162    .3407644
          8  |   .0728478   .0661332     1.10   0.272    -.0572676    .2029633
          9  |   .0882677   .0659729     1.34   0.182    -.0415323    .2180677
         10  |   .0919248   .0672877     1.37   0.173    -.0404621    .2243116
         11  |   .1663458   .0678863     2.45   0.015     .0327812    .2999105
         12  |   .1225004   .0675221     1.81   0.071    -.0103477    .2553485
         13  |   .1022916    .069972     1.46   0.145    -.0353765    .2399597
             |
       _cons |  -.0183982   .0732088    -0.25   0.802    -.1624347    .1256383
------------------------------------------------------------------------------
(826 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,164         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,164    .1232941    .2616657          0   2.280687
(826 missing values generated)
(826 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,164
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7542
                                                    Adj R-squared     = 0.6568
                                                    Root MSE          = 0.2743

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0510672    .052375     0.98   0.330    -.0519793    .1541137
             |
 scale_group |
          2  |  -.1127973    .199608    -0.57   0.572    -.5055212    .2799267
          3  |          0  (omitted)
          4  |  -.0187842   .0490966    -0.38   0.702    -.1153805    .0778121
          5  |   .0408041   .0261875     1.56   0.120    -.0107192    .0923273
          6  |  -.0682122   .0705486    -0.97   0.334    -.2070149    .0705906
          7  |   .0011094   .0629658     0.02   0.986    -.1227742    .1249931
          8  |          0  (empty)
          9  |   .0270203   .0730307     0.37   0.712     -.116666    .1707065
         10  |          0  (empty)
         11  |  -.0377501   .0521068    -0.72   0.469     -.140269    .0647688
         12  |   -.075954   .1703431    -0.45   0.656       -.4111    .2591919
             |
  year_group |
          5  |  -.0278444          .        .       .            .           .
          6  |   .4010258   .3474051     1.15   0.249    -.2824852    1.084537
          7  |   -.086854   .1540803    -0.56   0.573    -.3900031    .2162952
          8  |   .0525444   .1298044     0.40   0.686    -.2028425    .3079314
          9  |   .0398224   .1216869     0.33   0.744    -.1995937    .2792386
         10  |   .0043045     .12506     0.03   0.973     -.241748     .250357
         11  |  -.1185256   .1282113    -0.92   0.356    -.3707782     .133727
         12  |   -.135919   .1295842    -1.05   0.295    -.3908726    .1190347
         13  |  -.1172961   .1311432    -0.89   0.372    -.3753173     .140725
             |
       _cons |   .3144996    .132076     2.38   0.018     .0546432     .574356
------------------------------------------------------------------------------
(826 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,164         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,164    .2723545    .4764905          0   4.048262
(826 missing values generated)
(826 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,164
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9626
                                                    Adj R-squared     = 0.9478
                                                    Root MSE          = 0.1149

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0195765   .0234542     0.83   0.405    -.0265691    .0657221
             |
 scale_group |
          2  |  -.0348284    .026029    -1.34   0.182    -.0860398    .0163831
          3  |          0  (omitted)
          4  |   .0528882   .0269208     1.96   0.050    -.0000778    .1058541
          5  |   .0211394   .0117271     1.80   0.072    -.0019334    .0442122
          6  |   .1064631   .0594397     1.79   0.074    -.0104831    .2234092
          7  |   .0038147   .0326302     0.12   0.907    -.0603844    .0680138
          8  |          0  (empty)
          9  |   .0621411   .0277148     2.24   0.026     .0076129    .1166693
         10  |          0  (empty)
         11  |   .0690033   .0353893     1.95   0.052    -.0006243    .1386308
         12  |   .0034276   .0191293     0.18   0.858    -.0342089    .0410641
             |
  year_group |
          5  |    -.16956   .0030072   -56.38   0.000    -.1754767   -.1636433
          6  |   .0550003   .0914243     0.60   0.548    -.1248748    .2348754
          7  |  -.0602514   .0454326    -1.33   0.186     -.149639    .0291363
          8  |   -.075645   .0378379    -2.00   0.046    -.1500901   -.0011999
          9  |  -.0782491   .0371925    -2.10   0.036    -.1514244   -.0050738
         10  |  -.0913364   .0373935    -2.44   0.015    -.1649072   -.0177656
         11  |  -.0746772   .0439354    -1.70   0.090     -.161119    .0117645
         12  |   -.076758   .0425685    -1.80   0.072    -.1605105    .0069944
         13  |  -.0745611   .0446419    -1.67   0.096    -.1623929    .0132708
             |
       _cons |   .3585778   .0426551     8.41   0.000      .274655    .4425007
------------------------------------------------------------------------------
(826 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,164         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,164    .3149086    .4973156          0   3.034513
(826 missing values generated)
(826 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,164
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9477
                                                    Adj R-squared     = 0.9270
                                                    Root MSE          = 0.1323

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0491388   .0300551    -1.63   0.103    -.1082714    .0099939
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0665841   .0713988     0.93   0.352    -.0738913    .2070596
          4  |  -.0194782   .0202637    -0.96   0.337    -.0593466    .0203902
          5  |  -.0245694   .0150275    -1.63   0.103    -.0541357    .0049969
          6  |  -.0218707   .0316297    -0.69   0.490    -.0841014    .0403599
          7  |  -.0266779     .03125    -0.85   0.394    -.0881616    .0348058
          8  |          0  (empty)
          9  |   -.060966   .0329922    -1.85   0.066    -.1258773    .0039452
         10  |          0  (empty)
         11  |  -.0425154   .0415456    -1.02   0.307    -.1242553    .0392245
         12  |  -.1327615   .0899223    -1.48   0.141    -.3096814    .0441584
             |
  year_group |
          5  |  -.3231011          .        .       .            .           .
          6  |   -.767203   .1575259    -4.87   0.000    -1.077131   -.4572746
          7  |  -.9601997    .166771    -5.76   0.000    -1.288318   -.6320817
          8  |  -.9371769   .1635008    -5.73   0.000    -1.258861    -.615493
          9  |   -.927453   .1628784    -5.69   0.000    -1.247912   -.6069937
         10  |  -.9328886   .1579167    -5.91   0.000    -1.243586   -.6221913
         11  |  -.8887638   .1597432    -5.56   0.000    -1.203055   -.5744729
         12  |  -.8920714   .1592761    -5.60   0.000    -1.205443   -.5786997
         13  |  -.9036769   .1604223    -5.63   0.000    -1.219304     -.58805
             |
       _cons |   1.281676   .1597128     8.02   0.000     .9674447    1.595907
------------------------------------------------------------------------------
(826 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,164         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,164    .3055915    .4916517          0    3.28747
(826 missing values generated)
(826 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,164
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9051
                                                    Adj R-squared     = 0.8674
                                                    Root MSE          = 0.1734

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0076378   .0403879    -0.19   0.850    -.0871001    .0718245
             |
 scale_group |
          2  |  -.0618976   .0700758    -0.88   0.378    -.1997699    .0759748
          3  |          0  (omitted)
          4  |   .0102517   .0306404     0.33   0.738    -.0500326     .070536
          5  |   .0106721    .020194     0.53   0.598    -.0290591    .0504032
          6  |    .051525   .0650506     0.79   0.429    -.0764604    .1795105
          7  |  -.0361563   .0357787    -1.01   0.313    -.1065501    .0342375
          8  |          0  (empty)
          9  |   .0382765   .0382688     1.00   0.318    -.0370165    .1135695
         10  |          0  (empty)
         11  |   .0085861   .0351175     0.24   0.807    -.0605067    .0776789
         12  |   .0465723   .0551089     0.85   0.399    -.0618531    .1549977
             |
  year_group |
          5  |  -.1781152   .0069179   -25.75   0.000     -.191726   -.1645045
          6  |    .142688   .1468541     0.97   0.332    -.1462438    .4316198
          7  |  -.1877882   .0824909    -2.28   0.023     -.350087   -.0254894
          8  |  -.1884781   .0666987    -2.83   0.005    -.3197062   -.0572499
          9  |  -.2129971   .0611489    -3.48   0.001     -.333306   -.0926881
         10  |   -.161378   .0638057    -2.53   0.012    -.2869143   -.0358417
         11  |  -.1800279   .0680743    -2.64   0.009    -.3139624   -.0460935
         12  |  -.1716591   .0695591    -2.47   0.014    -.3085148   -.0348033
         13  |  -.1527404   .0692619    -2.21   0.028    -.2890115   -.0164693
             |
       _cons |   .4729948   .0729609     6.48   0.000      .329446    .6165436
------------------------------------------------------------------------------
(826 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,164         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,164    .3104223    .4775903          0   2.481311

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7582
                                                    Adj R-squared     = 0.6719
                                                    Root MSE          = 0.2511

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0770039   .0601765    -1.28   0.202    -.1954026    .0413948
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1253669   .0576229    -2.18   0.030    -.2387413   -.0119926
          4  |    .116183   .0378151     3.07   0.002      .041781     .190585
          5  |   .0156978   .0499629     0.31   0.754    -.0826054    .1140009
          6  |   .2133873     .06824     3.13   0.002     .0791236     .347651
          7  |   .0983132   .0839734     1.17   0.243    -.0669065    .2635328
          8  |    .105851   .0839734     1.26   0.208    -.0593686    .2710706
          9  |   .0347979   .0693564     0.50   0.616    -.1016625    .1712583
         10  |   .1518683    .094926     1.60   0.111    -.0349008    .3386374
         11  |   .2424876   .0542412     4.47   0.000     .1357666    .3492085
         12  |  -.0045419   .0528954    -0.09   0.932     -.108615    .0995311
             |
  year_group |
          5  |    .032549   .0054481     5.97   0.000     .0218297    .0432683
          6  |  -.0073344   .0927717    -0.08   0.937    -.1898648     .175196
          7  |   .1887032   .1129028     1.67   0.096    -.0334358    .4108422
          8  |    .200247   .1064992     1.88   0.061    -.0092928    .4097867
          9  |   .2517424   .1001766     2.51   0.012     .0546426    .4488422
         10  |   .2904285   .0927717     3.13   0.002     .1078981    .4729589
         11  |    .337365   .1031937     3.27   0.001      .134329    .5404011
         12  |   .3363232   .1035714     3.25   0.001     .1325441    .5401024
         13  |   .3320881   .1246553     2.66   0.008     .0868259    .5773503
             |
       _cons |  -.0890346   .0986781    -0.90   0.368    -.2831861    .1051169
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,214    .2336164    .4437458          0   3.297562
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8271
                                                    Adj R-squared     = 0.7654
                                                    Root MSE          = 0.2396

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0572849   .0632946    -0.91   0.366    -.1818186    .0672488
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1574924   .0844928    -1.86   0.063     -.323734    .0087492
          4  |    .084707   .0386228     2.19   0.029     .0087157    .1606982
          5  |     .03872   .0463264     0.84   0.404    -.0524282    .1298683
          6  |   .0235315   .0509371     0.46   0.644    -.0766884    .1237515
          7  |   .0504825   .0730327     0.69   0.490    -.0932111    .1941761
          8  |   .0504825   .0730327     0.69   0.490    -.0932111    .1941761
          9  |   .0552392   .0443077     1.25   0.213    -.0319373    .1424157
         10  |   .0812638   .0681754     1.19   0.234     -.052873    .2154006
         11  |   .0459773   .0496099     0.93   0.355    -.0516313    .1435858
         12  |   .0374679   .0550681     0.68   0.497    -.0708798    .1458156
             |
  year_group |
          5  |  -.4840359   2.26e-08 -2.1e+07   0.000     -.484036   -.4840359
          6  |  -.2054648   .1737858    -1.18   0.238    -.5473925    .1364628
          7  |  -.2324826   .1755719    -1.32   0.186    -.5779245    .1129593
          8  |  -.1211193   .1743803    -0.69   0.488    -.4642167    .2219781
          9  |  -.0870441   .1757591    -0.50   0.621    -.4328542     .258766
         10  |  -.0365532   .1737858    -0.21   0.834    -.3784808    .3053745
         11  |   .0464447   .1777156     0.26   0.794     -.303215    .3961044
         12  |  -.0407986   .1774428    -0.23   0.818    -.3899215    .3083242
         13  |   .0566167   .1909517     0.30   0.767    -.3190853    .4323187
             |
       _cons |   .3042415   .1790659     1.70   0.090    -.0480749    .6565579
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,214    .2774884    .5005844          0   3.361747
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7239
                                                    Adj R-squared     = 0.6254
                                                    Root MSE          = 0.2228

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0305801   .0447297     0.68   0.495    -.0574266    .1185867
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0468602   .1665411     0.28   0.779    -.2808133    .3745336
          4  |   .0760898   .0815215     0.93   0.351    -.0843058    .2364853
          5  |   .0322586   .0845371     0.38   0.703    -.1340702    .1985874
          6  |   .0127902   .0909013     0.14   0.888    -.1660602    .1916407
          7  |  -.0311174   .0928327    -0.34   0.738     -.213768    .1515332
          8  |  -.0311174   .0928327    -0.34   0.738     -.213768    .1515332
          9  |   .0693892   .0956051     0.73   0.469     -.118716    .2574945
         10  |   .1814017   .0929044     1.95   0.052    -.0013899    .3641933
         11  |   .1184847   .0881879     1.34   0.180    -.0550271    .2919966
         12  |   .0169078   .0597463     0.28   0.777    -.1006445    .1344601
             |
  year_group |
          5  |   .1535292   .0634715     2.42   0.016     .0286475    .2784108
          6  |  -.1577821   .1019269    -1.55   0.123    -.3583257    .0427614
          7  |  -.1975571   .1131076    -1.75   0.082    -.4200988    .0249847
          8  |  -.2273895   .1117739    -2.03   0.043    -.4473072   -.0074718
          9  |   -.236206   .1050419    -2.25   0.025    -.4428784   -.0295336
         10  |  -.2055756   .1019269    -2.02   0.045    -.4061192   -.0050321
         11  |  -.2755779   .1034959    -2.66   0.008    -.4792085   -.0719473
         12  |  -.2402105   .1054306    -2.28   0.023    -.4476477   -.0327733
         13  |  -.2323539   .1060116    -2.19   0.029    -.4409342   -.0237735
             |
       _cons |   .3935482   .1231077     3.20   0.002     .1513309    .6357654
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,214    .2495373    .4010762          0   3.132137
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6433
                                                    Adj R-squared     = 0.5161
                                                    Root MSE          = 0.1904

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0335407   .0358646    -0.94   0.350    -.1041053    .0370238
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.2167865   .0944168    -2.30   0.022    -.4025538   -.0310192
          4  |   .0785148    .025204     3.12   0.002     .0289253    .1281044
          5  |   .0518375   .0289193     1.79   0.074    -.0050619    .1087368
          6  |   .0647514    .039019     1.66   0.098    -.0120193    .1415222
          7  |  -.0255867   .0362225    -0.71   0.480    -.0968553    .0456819
          8  |  -.0255867   .0362225    -0.71   0.480    -.0968553    .0456819
          9  |  -.0367145   .0432367    -0.85   0.396    -.1217836    .0483547
         10  |  -.0507258   .0406181    -1.25   0.213    -.1306428    .0291913
         11  |   .0661519    .034498     1.92   0.056    -.0017236    .1340275
         12  |  -.0338619   .0291027    -1.16   0.245    -.0911221    .0233983
             |
  year_group |
          5  |   .1199487   .0886729     1.35   0.177    -.0545172    .2944146
          6  |   .2722591   .1865198     1.46   0.145    -.0947231    .6392413
          7  |   .1494372   .2007258     0.74   0.457    -.2454957      .54437
          8  |   .0184076   .1889382     0.10   0.922    -.3533329     .390148
          9  |  -.0259576   .1872718    -0.14   0.890    -.3944191     .342504
         10  |  -.0017489   .1865198    -0.01   0.993    -.3687311    .3652332
         11  |    .015442   .1872546     0.08   0.934    -.3529858    .3838698
         12  |  -.0041448   .1872422    -0.02   0.982    -.3725483    .3642588
         13  |  -.0138228   .1879774    -0.07   0.941    -.3836729    .3560272
             |
       _cons |   .0888327    .186452     0.48   0.634    -.2780161    .4556814
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,214    .1160812    .2815457          0   2.841787
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8106
                                                    Adj R-squared     = 0.7431
                                                    Root MSE          = 0.2475

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0392897   .0474006     0.83   0.408    -.0539721    .1325515
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3078819   .1858534     1.66   0.099    -.0577891    .6735528
          4  |   -.033557   .0267536    -1.25   0.211    -.0861954    .0190813
          5  |   -.001392    .031197    -0.04   0.964    -.0627728    .0599888
          6  |  -.1661166    .080996    -2.05   0.041    -.3254781    -.006755
          7  |   .0212082   .0571744     0.37   0.711    -.0912837    .1337001
          8  |  -.0053169   .0571744    -0.09   0.926    -.1178088     .107175
          9  |   .1322856   .0778055     1.70   0.090    -.0207985    .2853697
         10  |  -.1238648   .0509226    -2.43   0.016    -.2240563   -.0236733
         11  |  -.0983622   .0469446    -2.10   0.037    -.1907268   -.0059977
         12  |   .1257222   .0434399     2.89   0.004     .0402531    .2111912
             |
  year_group |
          5  |   .0369614   .0808239     0.46   0.648    -.1220615    .1959844
          6  |   .5110681   .3356601     1.52   0.129     -.149351    1.171487
          7  |  -.1459021   .3479602    -0.42   0.675     -.830522    .5387178
          8  |   .0268033    .339705     0.08   0.937    -.6415743    .6951809
          9  |    .056475   .3390388     0.17   0.868    -.6105917    .7235418
         10  |  -.0352275   .3356601    -0.10   0.916    -.6956467    .6251916
         11  |  -.1494971    .336357    -0.44   0.657    -.8112874    .5122933
         12  |  -.1128069   .3363776    -0.34   0.738    -.7746377    .5490239
         13  |  -.1030477   .3369301    -0.31   0.760    -.7659656    .5598703
             |
       _cons |   .3121615   .3280879     0.95   0.342    -.3333592    .9576822
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,214     .270302    .4960225          0   3.797497
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9751
                                                    Adj R-squared     = 0.9662
                                                    Root MSE          = 0.0955

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0052089   .0204631     0.25   0.799    -.0350528    .0454705
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0144687   .0356786     0.41   0.685    -.0557299    .0846672
          4  |   .0129462   .0127555     1.01   0.311    -.0121504    .0380429
          5  |  -.0075431   .0166012    -0.45   0.650    -.0402064    .0251202
          6  |   .0604879   .0529784     1.14   0.254    -.0437483    .1647242
          7  |  -.0547318   .0381293    -1.44   0.152    -.1297521    .0202885
          8  |  -.0468956   .0381293    -1.23   0.220    -.1219159    .0281247
          9  |   .0228038   .0182303     1.25   0.212    -.0130647    .0586722
         10  |   -.093917     .06454    -1.46   0.147     -.220901     .033067
         11  |   .0070618   .0246614     0.29   0.775    -.0414601    .0555837
         12  |   .0187659   .0188833     0.99   0.321    -.0183873    .0559192
             |
  year_group |
          5  |  -.1390654   .0232694    -5.98   0.000    -.1848485   -.0932823
          6  |   .0305215   .0999928     0.31   0.760    -.1662168    .2272597
          7  |   .0504616   .1020269     0.49   0.621    -.1502788    .2512019
          8  |   .0433883   .1008543     0.43   0.667    -.1550449    .2418214
          9  |   .0478283   .1011637     0.47   0.637    -.1512136    .2468702
         10  |    .015772   .0999928     0.16   0.875    -.1809663    .2125102
         11  |   .0287252   .1021233     0.28   0.779    -.1722048    .2296551
         12  |   .0235337   .1016202     0.23   0.817    -.1764064    .2234738
         13  |  -.0084376   .1023707    -0.08   0.934    -.2098544    .1929792
             |
       _cons |   .2982558   .1004651     2.97   0.003     .1005883    .4959232
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,214    .3181183    .5144007          0   3.439661
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9491
                                                    Adj R-squared     = 0.9309
                                                    Root MSE          = 0.1321

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0201125   .0353987    -0.57   0.570    -.0897603    .0495352
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0502226   .0448823     1.12   0.264    -.0380844    .1385296
          4  |   .0213762   .0284784     0.75   0.453    -.0346557     .077408
          5  |   .0218809   .0295537     0.74   0.460    -.0362666    .0800285
          6  |  -.0076443   .0407966    -0.19   0.851    -.0879125     .072624
          7  |   .0533687   .0463306     1.15   0.250    -.0377878    .1445252
          8  |   .0533687   .0463306     1.15   0.250    -.0377878    .1445252
          9  |   .0130293    .043319     0.30   0.764    -.0722019    .0982605
         10  |   .0113877   .0401599     0.28   0.777    -.0676278    .0904033
         11  |   .0278205   .0456287     0.61   0.542    -.0619551    .1175961
         12  |   .0097821   .0538984     0.18   0.856    -.0962642    .1158285
             |
  year_group |
          5  |  -.2000606    .016495   -12.13   0.000    -.2325148   -.1676063
          6  |  -.4292898   .0481414    -8.92   0.000    -.5240092   -.3345705
          7  |  -.5612341   .0742572    -7.56   0.000     -.707337   -.4151313
          8  |  -.5237239   .0533861    -9.81   0.000    -.6287623   -.4186855
          9  |  -.5148279   .0500087   -10.29   0.000    -.6132212   -.4164346
         10  |   -.523398   .0481414   -10.87   0.000    -.6181174   -.4286787
         11  |  -.4604156   .0523368    -8.80   0.000    -.5633894   -.3574417
         12  |  -.4780033   .0510173    -9.37   0.000     -.578381   -.3776256
         13  |  -.4173259   .0530116    -7.87   0.000    -.5216275   -.3130243
             |
       _cons |   .7943048   .0601765    13.20   0.000      .675906    .9127035
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,214    .2990978    .4945585          0    3.52923
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(19, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8225
                                                    Adj R-squared     = 0.7592
                                                    Root MSE          = 0.2565

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0394973   .0568313     0.69   0.488    -.0723196    .1513141
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0872176   .0495022     1.76   0.079     -.010179    .1846143
          4  |    .118272   .0329311     3.59   0.000     .0534794    .1830647
          5  |   .1391081   .0400478     3.47   0.001     .0603131    .2179032
          6  |   .1578445   .0774938     2.04   0.042     .0053737    .3103153
          7  |   .1441526   .0691177     2.09   0.038     .0081619    .2801433
          8  |   .1111571   .0691177     1.61   0.109    -.0248336    .2471477
          9  |   .2098191   .0545535     3.85   0.000     .1024838    .3171543
         10  |   .1705366   .0821569     2.08   0.039     .0088909    .3321823
         11  |    .216394   .0699461     3.09   0.002     .0787734    .3540146
         12  |   .1128724   .0373732     3.02   0.003     .0393397    .1864051
             |
  year_group |
          5  |  -.1329855   .0490077    -2.71   0.007    -.2294093   -.0365618
          6  |   .0306489   .0802878     0.38   0.703    -.1273191     .188617
          7  |  -.1268588   .1138983    -1.11   0.266    -.3509564    .0972388
          8  |  -.2509168    .095393    -2.63   0.009    -.4386047   -.0632289
          9  |  -.2214471   .0821615    -2.70   0.007    -.3831017   -.0597924
         10  |  -.2081512   .0802878    -2.59   0.010    -.3661193   -.0501832
         11  |  -.1764881   .0835212    -2.11   0.035    -.3408179   -.0121582
         12  |  -.1972364   .0839572    -2.35   0.019    -.3624242   -.0320485
         13  |  -.1146462   .0937412    -1.22   0.222    -.2990842    .0697918
             |
       _cons |   .3930257   .0925253     4.25   0.000       .21098    .5750714
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         748           0        748        748

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,214    .3335327    .5087891          0   3.087826

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 321)        =   2.06
                                                    Prob > F          = 0.0073
                                                    R-squared         = 0.7781
                                                    Adj R-squared     = 0.6995
                                                    Root MSE          = 0.2243

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0093893   .0429132    -0.22   0.827    -.0938159    .0750372
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0191455   .0828536     0.23   0.817    -.1438592    .1821502
          4  |     .04848   .0443411     1.09   0.275    -.0387559    .1357159
          5  |   .0085304   .0326091     0.26   0.794    -.0556242    .0726849
          6  |   .1034714   .0750524     1.38   0.169    -.0441854    .2511282
          7  |          0  (empty)
          8  |    .130704   .0593735     2.20   0.028     .0138936    .2475143
          9  |   .0085268   .0528852     0.16   0.872    -.0955185     .112572
         10  |   .2202719   .1147114     1.92   0.056    -.0054092     .445953
         11  |   .1497358   .0599041     2.50   0.013     .0318815      .26759
         12  |   .0729106    .055092     1.32   0.187    -.0354764    .1812976
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2360605   .1491801    -1.58   0.115    -.5295547    .0574336
          7  |  -.1642162   .1837632    -0.89   0.372    -.5257486    .1973162
          8  |   -.161801   .1775179    -0.91   0.363    -.5110464    .1874444
          9  |  -.1607822   .1675062    -0.96   0.338    -.4903308    .1687665
         10  |  -.0939733   .1711727    -0.55   0.583    -.4307352    .2427887
         11  |  -.0238095   .1785426    -0.13   0.894     -.375071     .327452
         12  |  -.0682882   .1735767    -0.39   0.694    -.4097797    .2732034
         13  |  -.0866915   .1763002    -0.49   0.623    -.4335413    .2601583
             |
       _cons |   .2817734   .1746773     1.61   0.108    -.0618835    .6254303
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,224    .2281025    .4097511          0   2.693549
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 321)        =   7.04
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8267
                                                    Adj R-squared     = 0.7653
                                                    Root MSE          = 0.2123

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0330874   .0520955    -0.64   0.526    -.1355791    .0694043
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0178859   .0495254    -0.36   0.718    -.1153214    .0795495
          4  |   .0707666   .0347384     2.04   0.042     .0024228    .1391104
          5  |   .0196804   .0301385     0.65   0.514    -.0396136    .0789744
          6  |  -.1109062   .0553186    -2.00   0.046    -.2197389   -.0020734
          7  |          0  (empty)
          8  |   .0967384   .0395769     2.44   0.015     .0188755    .1746013
          9  |     .04338   .0347804     1.25   0.213    -.0250463    .1118063
         10  |   .1621312   .0511325     3.17   0.002      .061534    .2627284
         11  |    .001236   .0502379     0.02   0.980    -.0976011     .100073
         12  |   .0314354   .0420392     0.75   0.455    -.0512717    .1141426
             |
  year_group |
          5  |          0  (empty)
          6  |  -.4308217   .2072379    -2.08   0.038    -.8385377   -.0231058
          7  |  -.5494227   .1488505    -3.69   0.000    -.8422684    -.256577
          8  |  -.4819303   .1438432    -3.35   0.001    -.7649249   -.1989358
          9  |  -.4930664   .1440715    -3.42   0.001      -.77651   -.2096228
         10  |  -.4085436    .146175    -2.79   0.006    -.6961255   -.1209616
         11  |  -.3746076   .1506456    -2.49   0.013     -.670985   -.0782302
         12  |  -.4569496   .1469209    -3.11   0.002    -.7459991      -.1679
         13  |  -.3111604     .15993    -1.95   0.053    -.6258037    .0034829
             |
       _cons |   .6658947   .1495088     4.45   0.000     .3717539    .9600355
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,224      .24242     .424641          0   3.116527
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 321)        =   4.64
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7681
                                                    Adj R-squared     = 0.6859
                                                    Root MSE          = 0.1893

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0098259   .0331489     0.30   0.767    -.0553907    .0750424
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1186155   .0746716     1.59   0.113    -.0282919     .265523
          4  |   .1370674   .0433143     3.16   0.002     .0518516    .2222832
          5  |   .1291741    .037067     3.48   0.001     .0562491    .2020991
          6  |   .1277958   .0598158     2.14   0.033     .0101152    .2454764
          7  |          0  (empty)
          8  |   .1128936   .0437697     2.58   0.010     .0267819    .1990052
          9  |   .1112018   .0521715     2.13   0.034     .0085606    .2138429
         10  |    .200562   .0606468     3.31   0.001     .0812466    .3198774
         11  |   .1536632   .0513615     2.99   0.003     .0526155    .2547109
         12  |    .037602   .0330478     1.14   0.256    -.0274157    .1026196
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2659188   .2673815    -0.99   0.321    -.7919602    .2601226
          7  |  -.2359333   .2479134    -0.95   0.342    -.7236736     .251807
          8  |  -.2279785   .2447376    -0.93   0.352    -.7094707    .2535137
          9  |  -.2836916   .2458326    -1.15   0.249    -.7673381    .1999549
         10  |  -.2604743   .2463338    -1.06   0.291    -.7451069    .2241583
         11  |  -.2520492   .2464436    -1.02   0.307    -.7368977    .2327994
         12  |  -.2291935   .2469858    -0.93   0.354    -.7151089    .2567219
         13  |  -.2356674   .2467743    -0.95   0.340    -.7211667     .249832
             |
       _cons |    .356243   .2460716     1.45   0.149    -.1278738    .8403599
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,224    .2313883     .348424          0   2.249739
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 321)        =   3.30
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5979
                                                    Adj R-squared     = 0.4555
                                                    Root MSE          = 0.1544

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0223752   .0315136     0.71   0.478    -.0396242    .0843745
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1060408   .0483061    -2.20   0.029    -.2010774   -.0110042
          4  |   .2204695   .0542889     4.06   0.000     .1136626    .3272765
          5  |   .2290737   .0510908     4.48   0.000     .1285585    .3295889
          6  |   .2534332   .0626484     4.05   0.000     .1301799    .3766865
          7  |          0  (empty)
          8  |   .0890523   .0709933     1.25   0.211    -.0506187    .2287233
          9  |   .1572074   .0575006     2.73   0.007     .0440818    .2703331
         10  |   .1024044   .0687231     1.49   0.137    -.0328002     .237609
         11  |   .2556828   .0586297     4.36   0.000     .1403357    .3710299
         12  |  -.0686962    .043366    -1.58   0.114    -.1540136    .0166212
             |
  year_group |
          5  |          0  (empty)
          6  |   .2989067   .1231033     2.43   0.016     .0567155    .5410979
          7  |   .2023977    .131335     1.54   0.124    -.0559883    .4607837
          8  |   .1827322   .1331208     1.37   0.171    -.0791672    .4446316
          9  |   .1694877   .1287041     1.32   0.189    -.0837225    .4226979
         10  |   .1841371   .1309109     1.41   0.161    -.0734146    .4416888
         11  |   .2164708   .1313392     1.65   0.100    -.0419236    .4748651
         12  |   .1895492   .1303655     1.45   0.147    -.0669296     .446028
         13  |   .1926565   .1306797     1.47   0.141    -.0644404    .4497535
             |
       _cons |  -.2585398   .1379656    -1.87   0.062    -.5299708    .0128913
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,224    .0911911    .2116319          0   2.081703
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 321)        =   4.81
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8034
                                                    Adj R-squared     = 0.7337
                                                    Root MSE          = 0.2300

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0517771   .0458872     1.13   0.260    -.0385005    .1420547
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .055891   .0756926     0.74   0.461    -.0930253    .2048073
          4  |   .0086576   .0439273     0.20   0.844    -.0777642    .0950794
          5  |   .0608074   .0303553     2.00   0.046     .0010869    .1205279
          6  |   .0086101   .0798197     0.11   0.914    -.1484257    .1656458
          7  |          0  (empty)
          8  |   .0344609   .0567865     0.61   0.544    -.0772598    .1461816
          9  |   .0490355   .0741219     0.66   0.509    -.0967906    .1948616
         10  |  -.0079299   .0760672    -0.10   0.917    -.1575831    .1417233
         11  |   -.067703   .0560095    -1.21   0.228    -.1778951    .0424891
         12  |   .0899601   .0644125     1.40   0.163    -.0367639    .2166841
             |
  year_group |
          5  |          0  (empty)
          6  |   .1575163    .305455     0.52   0.606    -.4434302    .7584628
          7  |   .0465483     .28004     0.17   0.868    -.5043973    .5974939
          8  |   .1147964   .2724492     0.42   0.674    -.4212152     .650808
          9  |    .087909   .2707496     0.32   0.746    -.4447589    .6205768
         10  |    .095837   .2727284     0.35   0.726    -.4407239    .6323979
         11  |  -.0546479   .2746908    -0.20   0.842    -.5950696    .4857738
         12  |  -.0638527   .2738857    -0.23   0.816    -.6026904    .4749851
         13  |   .0183304   .2740829     0.07   0.947    -.5208952    .5575561
             |
       _cons |   .1820524   .2724413     0.67   0.504    -.3539437    .7180484
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,224    .2592964    .4583898          0   2.565142
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 321)        =   1.51
                                                    Prob > F          = 0.0844
                                                    R-squared         = 0.9750
                                                    Adj R-squared     = 0.9661
                                                    Root MSE          = 0.0932

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0298002    .014352    -2.08   0.039     -.058036   -.0015644
             |
 scale_group |
          2  |          0  (omitted)
          3  |    -.01213   .0280484    -0.43   0.666    -.0673118    .0430519
          4  |  -.0154106    .018067    -0.85   0.394    -.0509553     .020134
          5  |  -.0110953   .0102129    -1.09   0.278    -.0311879    .0089973
          6  |   .0099179   .0436594     0.23   0.820    -.0759768    .0958125
          7  |          0  (empty)
          8  |  -.0393917   .0234654    -1.68   0.094    -.0855571    .0067737
          9  |   .0354059   .0222401     1.59   0.112    -.0083488    .0791606
         10  |  -.0530916   .0409422    -1.30   0.196    -.1336405    .0274572
         11  |   -.012479   .0192692    -0.65   0.518    -.0503889    .0254309
         12  |  -.0038254   .0144114    -0.27   0.791    -.0321782    .0245274
             |
  year_group |
          5  |          0  (empty)
          6  |   .0092204   .0987638     0.09   0.926    -.1850857    .2035265
          7  |  -.0288707   .0863322    -0.33   0.738    -.1987191    .1409777
          8  |   -.036063   .0838083    -0.43   0.667    -.2009458    .1288198
          9  |  -.0396488   .0850922    -0.47   0.642    -.2070576    .1277601
         10  |  -.0475205   .0851798    -0.56   0.577    -.2151016    .1200607
         11  |  -.0379922   .0873541    -0.43   0.664     -.209851    .1338666
         12  |  -.0384567   .0874544    -0.44   0.660    -.2105129    .1335995
         13  |  -.0212959   .0878461    -0.24   0.809    -.1941227    .1515309
             |
       _cons |   .3934625   .0863413     4.56   0.000     .2235962    .5633289
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,224    .3169479    .4963536          0   2.355895
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 321)        =   2.30
                                                    Prob > F          = 0.0021
                                                    R-squared         = 0.9368
                                                    Adj R-squared     = 0.9143
                                                    Root MSE          = 0.1430

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0488266   .0284608    -1.72   0.087    -.1048198    .0071666
             |
 scale_group |
          2  |  -.1103705   .0830656    -1.33   0.185    -.2737922    .0530512
          3  |          0  (omitted)
          4  |  -.0013207   .0215779    -0.06   0.951    -.0437728    .0411314
          5  |   .0012066   .0180911     0.07   0.947    -.0343856    .0367988
          6  |  -.0380668   .0441962    -0.86   0.390    -.1250175    .0488839
          7  |          0  (empty)
          8  |   -.006754   .0271153    -0.25   0.803    -.0601001    .0465921
          9  |   .0027185   .0268227     0.10   0.919     -.050052    .0554889
         10  |  -.0177302   .0291537    -0.61   0.544    -.0750867    .0396263
         11  |   .0140838   .0421526     0.33   0.739    -.0688466    .0970141
         12  |   -.033557   .0595704    -0.56   0.574    -.1507546    .0836407
             |
  year_group |
          5  |          0  (empty)
          6  |  -.9260146   .2038256    -4.54   0.000    -1.327017   -.5250118
          7  |  -1.086588   .2305847    -4.71   0.000    -1.540236   -.6329397
          8  |  -1.067737   .2326244    -4.59   0.000    -1.525398   -.6100764
          9  |  -1.076268   .2310666    -4.66   0.000    -1.530864   -.6216717
         10  |   -1.07093    .231499    -4.63   0.000    -1.526376   -.6154825
         11  |  -1.047313   .2320022    -4.51   0.000     -1.50375   -.5908762
         12  |  -1.051756   .2319493    -4.53   0.000    -1.508089   -.5954229
         13  |  -1.055422   .2326619    -4.54   0.000    -1.513157   -.5976875
             |
       _cons |   1.400979   .2309962     6.06   0.000      .946521    1.855436
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,224     .295477    .4843173          0   2.835569
(766 missing values generated)
(766 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,224
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 321)        =   4.24
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7771
                                                    Adj R-squared     = 0.6981
                                                    Root MSE          = 0.2812

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0375163   .0608622     0.62   0.538    -.0822228    .1572554
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1722561   .0857104     2.01   0.045     .0036311    .3408811
          4  |   .0936911   .0513626     1.82   0.069    -.0073586    .1947409
          5  |   .1528649   .0419536     3.64   0.000     .0703262    .2354037
          6  |   .1296904   .1038897     1.25   0.213    -.0747004    .3340812
          7  |          0  (empty)
          8  |   .1311961   .0623612     2.10   0.036     .0085077    .2538844
          9  |   .2410845    .076728     3.14   0.002     .0901313    .3920378
         10  |   .0110482    .091196     0.12   0.904    -.1683691    .1904655
         11  |   .1704458   .0801407     2.13   0.034     .0127785    .3281131
         12  |   .0682354   .0494943     1.38   0.169    -.0291388    .1656096
             |
  year_group |
          5  |          0  (empty)
          6  |   .0755263   .1690403     0.45   0.655    -.2570406    .4080932
          7  |   .1413375    .201189     0.70   0.483     -.254478    .5371529
          8  |   .1257514   .1962517     0.64   0.522    -.2603506    .5118534
          9  |   .0689903   .1863283     0.37   0.711    -.2975885    .4355691
         10  |    .090372   .1921899     0.47   0.639    -.2877389    .4684828
         11  |   .0993442   .1938354     0.51   0.609    -.2820039    .4806924
         12  |   .1141336   .1944837     0.59   0.558      -.26849    .4967573
         13  |   .2010698   .1955519     1.03   0.305    -.1836554    .5857951
             |
       _cons |   .1101076   .1996294     0.55   0.582    -.2826396    .5028548
------------------------------------------------------------------------------
(766 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,224         761           0        761        761

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,224    .3396076     .503605          0   2.791558

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(590 missing values generated)
(590 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,400
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(19, 342)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7532
                                                    Adj R-squared     = 0.6737
                                                    Root MSE          = 0.2407

                        (Std. err. adjusted for 343 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.017733   .0572551    -0.31   0.757    -.1303495    .0948835
             |
 scale_group |
          2  |  -.0010047   .1558381    -0.01   0.995    -.3075264     .305517
          3  |          0  (omitted)
          4  |   .0249096    .055246     0.45   0.652     -.083755    .1335743
          5  |  -.0075592   .0283387    -0.27   0.790    -.0632992    .0481809
          6  |  -.0049475   .0794427    -0.06   0.950    -.1612054    .1513104
          7  |     .10586   .0669844     1.58   0.115    -.0258933    .2376132
          8  |   .1134669   .0669844     1.69   0.091    -.0182864    .2452201
          9  |   .0293835   .0568544     0.52   0.606    -.0824449    .1412119
         10  |   .1052374   .0942059     1.12   0.265    -.0800585    .2905333
         11  |   .1437858   .0578351     2.49   0.013     .0300284    .2575432
         12  |  -.0136986   .1479554    -0.09   0.926    -.3047157    .2773186
             |
  year_group |
          5  |   .0274288   .0050906     5.39   0.000     .0174159    .0374417
          6  |  -.0364816   .0938834    -0.39   0.698    -.2211431    .1481799
          7  |   .0323573   .1080273     0.30   0.765    -.1801243    .2448389
          8  |   .0178073   .0903621     0.20   0.844    -.1599282    .1955427
          9  |    .064287    .083539     0.77   0.442    -.1000279    .2286018
         10  |   .0842715   .0869665     0.97   0.333     -.086785     .255328
         11  |   .1744276   .0988497     1.76   0.079    -.0200024    .3688575
         12  |   .1823076   .0914946     1.99   0.047     .0023446    .3622707
         13  |   .1427183   .0954949     1.49   0.136     -.045113    .3305497
             |
       _cons |   .0999424   .1003687     1.00   0.320    -.0974753    .2973602
------------------------------------------------------------------------------
(590 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,400         828           0        828        828

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,400    .2276587    .4136527          0   3.667497
(590 missing values generated)
(590 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,400
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(19, 342)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8140
                                                    Adj R-squared     = 0.7541
                                                    Root MSE          = 0.2196

                        (Std. err. adjusted for 343 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0106305   .0574659    -0.18   0.853    -.1236615    .1024005
             |
 scale_group |
          2  |  -.0200979   .0405056    -0.50   0.620    -.0997693    .0595736
          3  |          0  (omitted)
          4  |   .0607339   .0366558     1.66   0.098    -.0113653    .1328331
          5  |   .0328604   .0333326     0.99   0.325    -.0327023    .0984231
          6  |   .0322755   .0507874     0.64   0.526    -.0676195    .1321705
          7  |   .0225048   .0521748     0.43   0.666    -.0801191    .1251287
          8  |   .0225048   .0521748     0.43   0.666    -.0801191    .1251287
          9  |   .0491929   .0342747     1.44   0.152    -.0182228    .1166087
         10  |   .0775622   .0550612     1.41   0.160    -.0307391    .1858635
         11  |   .0445015   .0451301     0.99   0.325     -.044266     .133269
         12  |   .0298484    .019015     1.57   0.117    -.0075527    .0672494
             |
  year_group |
          5  |  -.4192289   1.26e-08 -3.3e+07   0.000    -.4192289   -.4192289
          6  |  -.3539253   .1493837    -2.37   0.018    -.6477518   -.0600987
          7  |   -.377362   .1002351    -3.76   0.000    -.5745168   -.1802071
          8  |  -.2995766   .0946728    -3.16   0.002     -.485791   -.1133623
          9  |  -.3009586    .094553    -3.18   0.002    -.4869371     -.11498
         10  |  -.2118821   .0935522    -2.26   0.024    -.3958924   -.0278719
         11  |  -.1568706   .1010965    -1.55   0.122    -.3557198    .0419786
         12  |  -.2432981   .0984676    -2.47   0.014    -.4369764   -.0496197
         13  |  -.1272791   .1180146    -1.08   0.282    -.3594048    .1048467
             |
       _cons |   .4577875    .102491     4.47   0.000     .2561954    .6593796
------------------------------------------------------------------------------
(590 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,400         828           0        828        828

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,400    .2515172    .4308176          0   3.135527
(590 missing values generated)
(590 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,400
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(19, 342)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7848
                                                    Adj R-squared     = 0.7154
                                                    Root MSE          = 0.1818

                        (Std. err. adjusted for 343 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0196462   .0319305     0.62   0.539    -.0431586    .0824511
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0229025    .042652    -0.54   0.592    -.1067959    .0609908
          4  |   .1752117   .0494428     3.54   0.000     .0779614     .272462
          5  |   .1377619   .0441695     3.12   0.002     .0508839      .22464
          6  |   .1093901   .0637879     1.71   0.087    -.0160759    .2348561
          7  |   .0995976   .0522705     1.91   0.058    -.0032146    .2024097
          8  |   .0995976   .0522705     1.91   0.058    -.0032146    .2024097
          9  |   .1014575    .058841     1.72   0.086    -.0142784    .2171934
         10  |   .2397227   .0578623     4.14   0.000     .1259119    .3535335
         11  |   .1588738   .0530576     2.99   0.003     .0545136    .2632341
         12  |   .0118321   .0352068     0.34   0.737     -.057417    .0810812
             |
  year_group |
          5  |    .181416    .074031     2.45   0.015     .0358026    .3270293
          6  |  -.0565431   .1479966    -0.38   0.703    -.3476412     .234555
          7  |  -.1274705   .1108231    -1.15   0.251    -.3454511    .0905102
          8  |  -.1205787   .1064521    -1.13   0.258     -.329962    .0888045
          9  |  -.1691071   .1050524    -1.61   0.108    -.3757373     .037523
         10  |  -.1757268   .1043979    -1.68   0.093    -.3810695     .029616
         11  |  -.1909533   .1058949    -1.80   0.072    -.3992407     .017334
         12  |  -.1526868   .1077855    -1.42   0.158    -.3646929    .0593192
         13  |    -.13426   .1073298    -1.25   0.212    -.3453695    .0768495
             |
       _cons |   .2459383   .1085941     2.26   0.024     .0323419    .4595346
------------------------------------------------------------------------------
(590 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,400         828           0        828        828

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,400    .2181188    .3498577          0   2.388006
(590 missing values generated)
(590 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,400
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(19, 342)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.4859
                                                    Adj R-squared     = 0.3202
                                                    Root MSE          = 0.2044

                        (Std. err. adjusted for 343 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0090972   .0391968     0.23   0.817    -.0679999    .0861944
             |
 scale_group |
          2  |   .0202385   .0525661     0.39   0.700     -.083155     .123632
          3  |          0  (omitted)
          4  |   .1094974   .0449511     2.44   0.015     .0210819    .1979129
          5  |   .1515922   .0374952     4.04   0.000      .077842    .2253423
          6  |   .1162739   .0521628     2.23   0.026     .0136737    .2188741
          7  |   .0339567   .0515214     0.66   0.510    -.0673821    .1352955
          8  |   .0339567   .0515214     0.66   0.510    -.0673821    .1352955
          9  |   .0698053   .0481133     1.45   0.148    -.0248299    .1644404
         10  |   .0077414   .0519367     0.15   0.882    -.0944142     .109897
         11  |   .1440013   .0455825     3.16   0.002      .054344    .2336587
         12  |  -.0348387   .0470275    -0.74   0.459    -.1273382    .0576608
             |
  year_group |
          5  |   .0923568   .0602216     1.53   0.126    -.0260945    .2108081
          6  |   .2771376   .1197016     2.32   0.021     .0416935    .5125816
          7  |   .1923416   .1367688     1.41   0.161    -.0766723    .4613556
          8  |    .098502   .1301727     0.76   0.450     -.157538    .3545419
          9  |    .103899   .1292778     0.80   0.422    -.1503808    .3581787
         10  |   .1310614   .1312858     1.00   0.319    -.1271678    .3892906
         11  |   .1618745   .1317259     1.23   0.220    -.0972203    .4209694
         12  |   .1492383   .1306925     1.14   0.254    -.1078239    .4063006
         13  |   .1158833   .1309852     0.88   0.377    -.1417547    .3735213
             |
       _cons |   -.110692   .1352368    -0.82   0.414    -.3766927    .1553086
------------------------------------------------------------------------------
(590 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,400         828           0        828        828

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,400    .1108909    .2402938          0    2.73396
(590 missing values generated)
(590 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,400
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(19, 342)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7576
                                                    Adj R-squared     = 0.6794
                                                    Root MSE          = 0.2746

                        (Std. err. adjusted for 343 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0962879   .0505401     1.91   0.058    -.0031206    .1956964
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0181463    .076759     0.24   0.813     -.132833    .1691255
          4  |   .0614232   .0506324     1.21   0.226    -.0381669    .1610132
          5  |   .0934551   .0307861     3.04   0.003     .0329011    .1540091
          6  |  -.0762384   .0632926    -1.20   0.229    -.2007303    .0482534
          7  |   .0583571   .0631192     0.92   0.356    -.0657937    .1825079
          8  |   .0415513   .0631192     0.66   0.511    -.0825995    .1657021
          9  |   .0715805   .0988481     0.72   0.469    -.1228462    .2660072
         10  |  -.0054052   .0690995    -0.08   0.938    -.1413186    .1305083
         11  |  -.0178736   .0559331    -0.32   0.750    -.1278899    .0921426
         12  |   .0649673   .0565918     1.15   0.252    -.0463445    .1762792
             |
  year_group |
          5  |   .0598356   .0753469     0.79   0.428     -.088366    .2080373
          6  |   .4571244   .2184755     2.09   0.037     .0273995    .8868492
          7  |   .0976423   .1529016     0.64   0.524    -.2031037    .3983883
          8  |   .2012277   .1273234     1.58   0.115    -.0492078    .4516633
          9  |   .0974878   .1148635     0.85   0.397      -.12844    .3234155
         10  |   .0967232   .1190238     0.81   0.417    -.1373876     .330834
         11  |  -.0584397   .1206571    -0.48   0.628    -.2957631    .1788837
         12  |  -.0624865   .1209598    -0.52   0.606    -.3004053    .1754324
         13  |  -.0025341    .122122    -0.02   0.983     -.242739    .2376707
             |
       _cons |   .1436598   .1217272     1.18   0.239    -.0957684     .383088
------------------------------------------------------------------------------
(590 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,400         828           0        828        828

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,400    .2614401    .4734371          0   4.041995
(590 missing values generated)
(590 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,400
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(19, 342)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9665
                                                    Adj R-squared     = 0.9558
                                                    Root MSE          = 0.1082

                        (Std. err. adjusted for 343 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0141542   .0234365     0.60   0.546    -.0319437    .0602521
             |
 scale_group |
          2  |  -.0410634   .0293743    -1.40   0.163    -.0988405    .0167136
          3  |          0  (omitted)
          4  |   .0308107   .0231239     1.33   0.184    -.0146722    .0762936
          5  |   .0053633   .0124599     0.43   0.667    -.0191445     .029871
          6  |   .0701061   .0645106     1.09   0.278    -.0567813    .1969935
          7  |  -.0288033   .0313421    -0.92   0.359    -.0904508    .0328442
          8  |  -.0173966   .0313421    -0.56   0.579    -.0790441    .0442509
          9  |   .0390889   .0214499     1.82   0.069    -.0031014    .0812793
         10  |  -.0571452   .0493331    -1.16   0.248    -.1541797    .0398893
         11  |   .0330625   .0243808     1.36   0.176    -.0148927    .0810176
         12  |  -.0255686   .0120754    -2.12   0.035    -.0493201   -.0018171
             |
  year_group |
          5  |  -.1454761   .0234679    -6.20   0.000    -.1916357   -.0993166
          6  |  -.0061879   .0746934    -0.08   0.934    -.1531043    .1407284
          7  |  -.0365551   .0551659    -0.66   0.508    -.1450623     .071952
          8  |  -.0426089   .0512728    -0.83   0.407    -.1434586    .0582407
          9  |  -.0293819   .0518108    -0.57   0.571    -.1312898     .072526
         10  |  -.0442363   .0511566    -0.86   0.388    -.1448575    .0563848
         11  |  -.0343145   .0559298    -0.61   0.540    -.1443242    .0756951
         12  |  -.0288327   .0556801    -0.52   0.605    -.1383513     .080686
         13  |  -.0340026   .0556545    -0.61   0.542    -.1434708    .0754656
             |
       _cons |   .3440033   .0564573     6.09   0.000      .232956    .4550505
------------------------------------------------------------------------------
(590 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,400         828           0        828        828

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,400    .3121332    .4936996          0   2.774383
(590 missing values generated)
(590 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,400
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(19, 342)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9353
                                                    Adj R-squared     = 0.9145
                                                    Root MSE          = 0.1469

                        (Std. err. adjusted for 343 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0320992   .0306175    -1.05   0.295    -.0923215    .0281231
             |
 scale_group |
          2  |  -.1291643   .1833432    -0.70   0.482    -.4897865    .2314579
          3  |          0  (omitted)
          4  |  -.0396849   .0238383    -1.66   0.097    -.0865729    .0072032
          5  |  -.0303118   .0173698    -1.75   0.082     -.064477    .0038533
          6  |   -.043725   .0338096    -1.29   0.197     -.110226     .022776
          7  |  -.0451112   .0350704    -1.29   0.199    -.1140921    .0238696
          8  |  -.0451112   .0350704    -1.29   0.199     -.114092    .0238696
          9  |  -.0269624   .0363066    -0.74   0.458    -.0983747    .0444498
         10  |   -.061912   .0321681    -1.92   0.055    -.1251841    .0013602
         11  |  -.0520169    .036359    -1.43   0.153    -.1235324    .0194985
         12  |  -.1181947   .1624055    -0.73   0.467    -.4376341    .2012446
             |
  year_group |
          5  |   -.235904   .0279312    -8.45   0.000    -.2908425   -.1809654
          6  |  -.6009566   .1437968    -4.18   0.000    -.8837942   -.3181191
          7  |  -.7833861   .1395431    -5.61   0.000    -1.057857   -.5089155
          8  |  -.7423701    .134391    -5.52   0.000    -1.006707   -.4780331
          9  |  -.7282208   .1328051    -5.48   0.000    -.9894383   -.4670032
         10  |  -.7509903   .1309337    -5.74   0.000    -1.008527   -.4934536
         11  |  -.7087317   .1335206    -5.31   0.000    -.9713568   -.4461067
         12  |  -.7177329   .1338583    -5.36   0.000    -.9810222   -.4544437
         13  |  -.7159213   .1346061    -5.32   0.000    -.9806813   -.4511613
             |
       _cons |   1.100667   .1395592     7.89   0.000     .8261644    1.375169
------------------------------------------------------------------------------
(590 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,400         828           0        828        828

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,400    .2964133    .4853698          0   2.305356
(590 missing values generated)
(590 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,400
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(19, 342)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8046
                                                    Adj R-squared     = 0.7417
                                                    Root MSE          = 0.2636

                        (Std. err. adjusted for 343 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0390615   .0495654     0.79   0.431    -.0584298    .1365528
             |
 scale_group |
          2  |  -.1704467   .0757044    -2.25   0.025    -.3193515    -.021542
          3  |          0  (omitted)
          4  |   .0880946   .0472654     1.86   0.063    -.0048729    .1810622
          5  |   .1130884   .0381973     2.96   0.003     .0379572    .1882195
          6  |   .1112383   .0603505     1.84   0.066    -.0074666    .2299431
          7  |  -.0043532   .0587683    -0.07   0.941    -.1199459    .1112395
          8  |  -.0138439   .0587683    -0.24   0.814    -.1294366    .1017488
          9  |   .1367755   .0814848     1.68   0.094     -.023499    .2970501
         10  |   .0005642   .0817403     0.01   0.994    -.1602128    .1613412
         11  |    .109609   .0536374     2.04   0.042     .0041083    .2151097
         12  |  -.0335487   .0397712    -0.84   0.400    -.1117756    .0446782
             |
  year_group |
          5  |  -.1398824    .028891    -4.84   0.000    -.1967089    -.083056
          6  |  -.0501487   .1292905    -0.39   0.698    -.3044534     .204156
          7  |  -.2148509   .1021952    -2.10   0.036    -.4158612   -.0138406
          8  |  -.1993086   .0810044    -2.46   0.014    -.3586381   -.0399791
          9  |  -.3273359   .0704147    -4.65   0.000    -.4658363   -.1888356
         10  |  -.2264721   .0735766    -3.08   0.002    -.3711917   -.0817525
         11  |  -.2955431   .0758048    -3.90   0.000    -.4446454   -.1464407
         12  |  -.2608878   .0762593    -3.42   0.001    -.4108841   -.1108916
         13  |  -.2104536   .0771276    -2.73   0.007    -.3621578   -.0587494
             |
       _cons |   .5218624   .0847935     6.15   0.000       .35508    .6886448
------------------------------------------------------------------------------
(590 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,400         828           0        828        828

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,400    .3251104    .4997298          0   2.948223

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(18, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7802
                                                    Adj R-squared     = 0.6963
                                                    Root MSE          = 0.2261

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.045134   .0527657    -0.86   0.393    -.1489312    .0586631
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0791235    .145052     0.55   0.586    -.2062133    .3644603
          4  |   .1345337   .0539534     2.49   0.013        .0284    .2406673
          5  |   .0720136   .0626718     1.15   0.251    -.0512702    .1952975
          6  |   .1126385    .080072     1.41   0.160    -.0448739    .2701509
          7  |   .2411405   .0895607     2.69   0.007     .0649624    .4173186
          8  |   .2477767   .0895607     2.77   0.006     .0715986    .4239547
          9  |   .0952896   .0877211     1.09   0.278    -.0772696    .2678489
         10  |          0  (empty)
         11  |   .2349376    .068571     3.43   0.001     .1000493    .3698259
         12  |   .0265973   .0701621     0.38   0.705     -.111421    .1646155
             |
  year_group |
          5  |    .055548   .0071577     7.76   0.000     .0414677    .0696282
          6  |  -.0338896   .2279814    -0.15   0.882    -.4823598    .4145806
          7  |   .1466516   .1894682     0.77   0.439     -.226058    .5193612
          8  |   .0388225   .1566359     0.25   0.804    -.2693016    .3469465
          9  |   .1096957   .1609305     0.68   0.496    -.2068763    .4262677
         10  |   .1713032   .1653428     1.04   0.301    -.1539485    .4965548
         11  |   .2431358   .1686141     1.44   0.150    -.0885509    .5748226
         12  |   .2207817   .1679358     1.31   0.190    -.1095706    .5511341
         13  |   .2062146   .1707791     1.21   0.228     -.129731    .5421601
             |
       _cons |  -.0090577   .1684709    -0.05   0.957    -.3404628    .3223474
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,214    .2500033    .4260971          0   2.776252
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(18, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8170
                                                    Adj R-squared     = 0.7471
                                                    Root MSE          = 0.2307

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0216536   .0596372     0.36   0.717    -.0956608    .1389681
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0392945   .0966117    -0.41   0.684    -.2293427    .1507538
          4  |   .0997454   .0319708     3.12   0.002     .0368545    .1626364
          5  |   .0791085   .0470605     1.68   0.094    -.0134659     .171683
          6  |   .0806027    .054877     1.47   0.143    -.0273477    .1885531
          7  |   .0503897   .0656955     0.77   0.444    -.0788421    .1796216
          8  |   .0503897   .0656955     0.77   0.444    -.0788421    .1796216
          9  |   .1378229   .0490129     2.81   0.005      .041408    .2342379
         10  |          0  (empty)
         11  |   .0887418   .0473874     1.87   0.062    -.0044757    .1819592
         12  |   .0598342   .0576881     1.04   0.300     -.053646    .1733144
             |
  year_group |
          5  |  -.4492813   3.34e-08 -1.3e+07   0.000    -.4492814   -.4492813
          6  |  -.5015953   .0818951    -6.12   0.000    -.6626941   -.3404966
          7  |  -.5158067   .0492937   -10.46   0.000    -.6127741   -.4188392
          8  |  -.4357971   .0353717   -12.32   0.000     -.505378   -.3662161
          9  |  -.4152296   .0338149   -12.28   0.000     -.481748   -.3487112
         10  |  -.3062284   .0387815    -7.90   0.000    -.3825169   -.2299399
         11  |  -.2575197   .0634713    -4.06   0.000    -.3823764    -.132663
         12  |  -.3551842   .0513345    -6.92   0.000     -.456166   -.2542023
         13  |  -.2421257   .0859293    -2.82   0.005    -.4111603   -.0730911
             |
       _cons |   .5218623   .0695829     7.50   0.000     .3849834    .6587412
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,214    .2763059    .4664721          0   3.688384
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(18, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7881
                                                    Adj R-squared     = 0.7072
                                                    Root MSE          = 0.1893

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0276716   .0366148     0.76   0.450    -.0443546    .0996978
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0224532   .0881255     0.25   0.799    -.1509016     .195808
          4  |   .0989793   .0617725     1.60   0.110    -.0225355    .2204941
          5  |   .0915158   .0640393     1.43   0.154    -.0344581    .2174897
          6  |   .0160359   .0832335     0.19   0.847    -.1476956    .1797673
          7  |   .0172078   .0733019     0.23   0.815    -.1269868    .1614025
          8  |   .0172078   .0733019     0.23   0.815    -.1269868    .1614025
          9  |   .0964457   .0822956     1.17   0.242    -.0654409    .2583323
         10  |          0  (empty)
         11  |   .0953555   .0723037     1.32   0.188    -.0468756    .2375867
         12  |  -.0311746   .0714403    -0.44   0.663    -.1717073    .1093581
             |
  year_group |
          5  |   .1978321   .0825222     2.40   0.017     .0354998    .3601643
          6  |  -.0348341   .1166447    -0.30   0.765    -.2642899    .1946217
          7  |  -.1393268   .1041291    -1.34   0.182    -.3441628    .0655092
          8  |  -.0722934   .0973159    -0.74   0.458    -.2637271    .1191402
          9  |  -.1265413   .0945355    -1.34   0.182    -.3125053    .0594228
         10  |  -.1107299   .0949126    -1.17   0.244    -.2974359     .075976
         11  |   -.110489   .0973157    -1.14   0.257    -.3019221    .0809442
         12  |  -.0950196   .0991522    -0.96   0.339    -.2900654    .1000263
         13  |  -.0951229   .0988945    -0.96   0.337    -.2896618    .0994159
             |
       _cons |    .254715   .1075478     2.37   0.018      .043154    .4662761
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,214    .2406583    .3754845          0   2.854464
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(18, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6501
                                                    Adj R-squared     = 0.5165
                                                    Root MSE          = 0.1826

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0015629   .0299357    -0.05   0.958    -.0604504    .0573247
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0718326   .0910236     0.79   0.431    -.1072232    .2508883
          4  |   .0591601   .0198545     2.98   0.003     .0201035    .0982166
          5  |   .0881184   .0269074     3.27   0.001     .0351878    .1410489
          6  |   .0527792   .0289804     1.82   0.069    -.0042291    .1097875
          7  |  -.0182632   .0375738    -0.49   0.627     -.092176    .0556495
          8  |  -.0182632   .0375738    -0.49   0.627     -.092176    .0556495
          9  |  -.0289667   .0518708    -0.56   0.577    -.1310036    .0730702
         10  |          0  (empty)
         11  |   .1106432   .0323724     3.42   0.001     .0469623    .1743241
         12  |  -.0968554   .0470915    -2.06   0.040    -.1894909     -.00422
             |
  year_group |
          5  |   .0758483   .0504164     1.50   0.133    -.0233275    .1750241
          6  |   .2742915   .1378857     1.99   0.047     .0030518    .5455313
          7  |   .1908315   .1375988     1.39   0.166     -.079844    .4615069
          8  |   .0621006   .1179424     0.53   0.599    -.1699081    .2941092
          9  |    .079662     .11888     0.67   0.503     -.154191    .3135151
         10  |   .0637301   .1188627     0.54   0.592    -.1700889    .2975491
         11  |   .0772012   .1213566     0.64   0.525    -.1615237    .3159261
         12  |   .0618905   .1204173     0.51   0.608    -.1749865    .2987676
         13  |   .0681005   .1209993     0.56   0.574    -.1699215    .3061225
             |
       _cons |   .0243661   .1198362     0.20   0.839    -.2113679    .2601002
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,214    .1296844    .2757972          0   2.636673
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(18, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7803
                                                    Adj R-squared     = 0.6965
                                                    Root MSE          = 0.2725

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0734349   .0451532     1.63   0.105    -.0153875    .1622573
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0864192   .0800676    -1.08   0.281    -.2439231    .0710846
          4  |  -.0308305   .0321116    -0.96   0.338    -.0939984    .0323373
          5  |   .0456908    .038543     1.19   0.237    -.0301285    .1215101
          6  |  -.1955455    .059337    -3.30   0.001    -.3122693   -.0788217
          7  |   .0163001   .0572336     0.28   0.776    -.0962861    .1288863
          8  |  -.0147336   .0572336    -0.26   0.797    -.1273198    .0978527
          9  |   .0015344   .1011688     0.02   0.988    -.1974784    .2005471
         10  |          0  (empty)
         11  |  -.1214776    .041426    -2.93   0.004    -.2029681   -.0399871
         12  |   -.019515   .0529669    -0.37   0.713    -.1237081    .0846781
             |
  year_group |
          5  |   .0424918   .0882479     0.48   0.630    -.1311038    .2160873
          6  |   .6341768   .3268276     1.94   0.053    -.0087372    1.277091
          7  |   .0865415   .1692157     0.51   0.609    -.2463286    .4194117
          8  |   .1857468   .1443828     1.29   0.199    -.0982736    .4697672
          9  |   .2183437   .1383757     1.58   0.116      -.05386    .4905473
         10  |   .1539079   .1408889     1.09   0.275    -.1232396    .4310554
         11  |   .0432269   .1449802     0.30   0.766    -.2419686    .3284225
         12  |   .0688626   .1440252     0.48   0.633    -.2144544    .3521797
         13  |   .0884211   .1457939     0.61   0.545    -.1983752    .3752174
             |
       _cons |   .1528269   .1432015     1.07   0.287    -.1288697    .4345236
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,214    .2837979    .5013705          0   3.822412
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(18, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9695
                                                    Adj R-squared     = 0.9579
                                                    Root MSE          = 0.1006

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0084821   .0174991     0.48   0.628    -.0259409    .0429052
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0022055   .0207596    -0.11   0.915    -.0430424    .0386315
          4  |   .0362263   .0186249     1.95   0.053    -.0004114     .072864
          5  |  -.0072052   .0155684    -0.46   0.644    -.0378303    .0234199
          6  |   .0791875   .0591411     1.34   0.182    -.0371511    .1955261
          7  |  -.0227387   .0345201    -0.66   0.511    -.0906444    .0451669
          8  |   -.011624   .0345201    -0.34   0.737    -.0795297    .0562817
          9  |   .0389032   .0304148     1.28   0.202    -.0209268    .0987331
         10  |          0  (empty)
         11  |   .0463458   .0291161     1.59   0.112    -.0109296    .1036212
         12  |  -.0138645   .0192561    -0.72   0.472    -.0517438    .0240148
             |
  year_group |
          5  |  -.1417819    .023153    -6.12   0.000    -.1873269   -.0962369
          6  |  -.0514427   .0782824    -0.66   0.512    -.2054349    .1025494
          7  |  -.0383936   .0437375    -0.88   0.381    -.1244312     .047644
          8  |  -.0541321    .039667    -1.36   0.173    -.1321625    .0238983
          9  |   -.056084    .039045    -1.44   0.152    -.1328908    .0207228
         10  |  -.0781456   .0404716    -1.93   0.054    -.1577586    .0014675
         11  |  -.0614269   .0452333    -1.36   0.175    -.1504069    .0275531
         12  |  -.0591358   .0455467    -1.30   0.195    -.1487324    .0304607
         13  |  -.0775478   .0455821    -1.70   0.090    -.1672138    .0121183
             |
       _cons |   .3623662   .0450968     8.04   0.000     .2736547    .4510777
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,214    .3129405    .4945095          0   3.210626
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(18, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9631
                                                    Adj R-squared     = 0.9490
                                                    Root MSE          = 0.1094

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0040444   .0211843     0.19   0.849     -.037628    .0457168
             |
 scale_group |
          2  |          0  (omitted)
          3  |    -.02362   .0630011    -0.37   0.708    -.1475517    .1003117
          4  |   .0300699   .0168232     1.79   0.075    -.0030235    .0631633
          5  |   .0107052   .0173589     0.62   0.538    -.0234421    .0448524
          6  |   .0396151   .0232895     1.70   0.090    -.0061985    .0854287
          7  |   .0109523   .0268222     0.41   0.683    -.0418106    .0637152
          8  |   .0109523   .0268222     0.41   0.683    -.0418106    .0637152
          9  |    .020372   .0233182     0.87   0.383    -.0254981    .0662421
         10  |          0  (empty)
         11  |   .0485055   .0294328     1.65   0.100    -.0093928    .1064039
         12  |  -.0039126   .0283221    -0.14   0.890     -.059626    .0518008
             |
  year_group |
          5  |  -.2456204   .0266732    -9.21   0.000    -.2980902   -.1931506
          6  |   -.783039   .1532437    -5.11   0.000     -1.08449   -.4815879
          7  |  -.7403059   .1514756    -4.89   0.000    -1.038279    -.442333
          8  |   -.769177   .1522911    -5.05   0.000    -1.068754   -.4695999
          9  |  -.7736216   .1504166    -5.14   0.000    -1.069511   -.4777318
         10  |  -.7649028   .1474536    -5.19   0.000    -1.054964   -.4748416
         11  |  -.7588328   .1491943    -5.09   0.000    -1.052318   -.4653474
         12  |  -.7808794   .1492589    -5.23   0.000    -1.074492    -.487267
         13  |  -.7290159   .1501556    -4.86   0.000    -1.024392   -.4336396
             |
       _cons |   1.048473   .1467912     7.14   0.000     .7597153    1.337232
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,214    .3107261    .4946495          0   3.344116
(776 missing values generated)
(776 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,214
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(18, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8206
                                                    Adj R-squared     = 0.7521
                                                    Root MSE          = 0.2494

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0808898   .0537356     1.51   0.133    -.0248153     .186595
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1858118   .0820057    -2.27   0.024    -.3471281   -.0244954
          4  |   .0607577   .0416949     1.46   0.146    -.0212617    .1427772
          5  |   .0953386   .0445944     2.14   0.033     .0076153    .1830619
          6  |   .0656929   .0610581     1.08   0.283    -.0544166    .1858023
          7  |   .0168702   .0675515     0.25   0.803    -.1160128    .1497532
          8  |  -.0081953   .0675515    -0.12   0.904    -.1410783    .1246877
          9  |   .1517792   .1080939     1.40   0.161    -.0608561    .3644145
         10  |          0  (empty)
         11  |   .0105564   .0876812     0.12   0.904    -.1619244    .1830372
         12  |   .0505703   .0505531     1.00   0.318    -.0488745    .1500151
             |
  year_group |
          5  |  -.1052298   .0447398    -2.35   0.019     -.193239   -.0172207
          6  |  -.1507792   .2165969    -0.70   0.487    -.5768546    .2752962
          7  |  -.3729769   .1491745    -2.50   0.013    -.6664233   -.0795305
          8  |  -.3467234   .1300547    -2.67   0.008    -.6025586   -.0908882
          9  |   -.331311   .1230484    -2.69   0.007    -.5733639   -.0892582
         10  |  -.2903045   .1238744    -2.34   0.020    -.5339822   -.0466267
         11  |  -.2919049   .1264862    -2.31   0.022    -.5407204   -.0430894
         12  |  -.2977709   .1276328    -2.33   0.020    -.5488418      -.0467
         13  |  -.2028587   .1355408    -1.50   0.135    -.4694858    .0637684
             |
       _cons |   .5299264   .1332014     3.98   0.000     .2679012    .7919516
------------------------------------------------------------------------------
(776 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,214         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,214     .337514    .5023617          0   2.850577

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7905
                                                    Adj R-squared     = 0.7168
                                                    Root MSE          = 0.2191

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0495409   .0475746    -1.04   0.299    -.1431383    .0440564
             |
 scale_group |
          2  |   .1285905   .0743395     1.73   0.085    -.0176636    .2748447
          3  |          0  (omitted)
          4  |   .1456567   .0738017     1.97   0.049     .0004605    .2908529
          5  |   .1081385   .0753806     1.43   0.152     -.040164    .2564409
          6  |   .0787923   .1115862     0.71   0.481    -.1407403    .2983249
          7  |   .1565787   .0997253     1.57   0.117     -.039619    .3527764
          8  |          0  (empty)
          9  |   .1124646   .0723944     1.55   0.121    -.0299629     .254892
         10  |          0  (empty)
         11  |   .2445661   .0825548     2.96   0.003     .0821492     .406983
         12  |   .1199274   .0651979     1.84   0.067    -.0083418    .2481967
             |
  year_group |
          5  |   .0328859   .0050941     6.46   0.000     .0228638    .0429079
          6  |   .3397488   .1402962     2.42   0.016     .0637325     .615765
          7  |   .4761588    .103039     4.62   0.000     .2734417    .6788758
          8  |    .306464    .047536     6.45   0.000     .2129426    .3999854
          9  |   .3034612   .0337202     9.00   0.000     .2371206    .3698018
         10  |   .3707588   .0050941    72.78   0.000     .3607367    .3807809
         11  |    .448124   .0541691     8.27   0.000     .3415527    .5546953
         12  |   .4349419   .0414915    10.48   0.000     .3533124    .5165715
         13  |   .4318428   .0588876     7.33   0.000     .3159884    .5476972
             |
       _cons |  -.2730149   .0769245    -3.55   0.000    -.4243548   -.1216749
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,254    .2353219    .4249533          0   3.704256
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,254
Absorbed variable: factor_pair                    No. of categories =      309
                                                  F(18, 321)        = 4.78e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8232
                                                  Adj R-squared     =   0.7611
                                                  Root MSE          =   0.2204

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0124285   .0575399    -0.22   0.829    -.1256314    .1007744
             |
 scale_group |
          2  |   .0991152   .0694793     1.43   0.155    -.0375771    .2358075
          3  |          0  (omitted)
          4  |   .1150109   .0397042     2.90   0.004     .0368975    .1931243
          5  |   .0500634   .0462452     1.08   0.280    -.0409185    .1410454
          6  |   .0485727   .0746853     0.65   0.516    -.0983617    .1955072
          7  |   .0399865    .069933     0.57   0.568    -.0975984    .1775715
          8  |          0  (empty)
          9  |   .0827106   .0391475     2.11   0.035     .0056924    .1597287
         10  |          0  (empty)
         11  |    .085439   .0535313     1.60   0.111    -.0198774    .1907555
         12  |   .1171643    .064051     1.83   0.068    -.0088484     .243177
             |
  year_group |
          5  |  -.3620175   5.70e-08 -6.3e+06   0.000    -.3620176   -.3620174
          6  |  -.4105723     .05817    -7.06   0.000    -.5250148   -.2961297
          7  |  -.3435274   .0431701    -7.96   0.000    -.4284594   -.2585954
          8  |  -.3007778    .028744   -10.46   0.000    -.3573282   -.2442273
          9  |  -.2677176   .0286696    -9.34   0.000    -.3241216   -.2113135
         10  |  -.1810088   1.81e-07 -1.0e+06   0.000    -.1810091   -.1810084
         11  |  -.1264666   .0415826    -3.04   0.003    -.2082755   -.0446577
         12  |  -.2006701    .034818    -5.76   0.000    -.2691703   -.1321698
         13  |   -.150611   .0632471    -2.38   0.018    -.2750422   -.0261797
             |
       _cons |   .3718693   .0546747     6.80   0.000     .2643033    .4794353
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,254    .2508196    .4547709          0   3.073211
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7928
                                                    Adj R-squared     = 0.7200
                                                    Root MSE          = 0.1795

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0340721   .0425844     0.80   0.424    -.0497078    .1178519
             |
 scale_group |
          2  |  -.0321813   .0980002    -0.33   0.743     -.224985    .1606224
          3  |          0  (omitted)
          4  |   .1297215   .0864102     1.50   0.134    -.0402802    .2997233
          5  |   .1027187   .0899196     1.14   0.254    -.0741875    .2796248
          6  |   .0701409   .0965068     0.73   0.468    -.1197247    .2600066
          7  |   .0810181   .0919851     0.88   0.379    -.0999517    .2619878
          8  |          0  (empty)
          9  |   .1337423   .0965513     1.39   0.167     -.056211    .3236957
         10  |          0  (empty)
         11  |    .102592   .0901618     1.14   0.256    -.0747907    .2799747
         12  |  -.0891631   .0684238    -1.30   0.193    -.2237788    .0454525
             |
  year_group |
          5  |   .2505078   .0568063     4.41   0.000      .138748    .3622676
          6  |  -.0583109   .1092963    -0.53   0.594    -.2733385    .1567167
          7  |  -.0713619    .073293    -0.97   0.331    -.2155573    .0728335
          8  |  -.0208461   .0721421    -0.29   0.773    -.1627772    .1210849
          9  |  -.0641945   .0660092    -0.97   0.332    -.1940597    .0656708
         10  |  -.0928111   .0568063    -1.63   0.103    -.2045708    .0189487
         11  |   -.081876   .0600249    -1.36   0.174    -.1999679     .036216
         12  |   -.052741   .0641783    -0.82   0.412    -.1790042    .0735222
         13  |  -.0595439   .0632972    -0.94   0.348    -.1840736    .0649859
             |
       _cons |   .1961257   .0940388     2.09   0.038     .0111155    .3811359
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,254    .2209914    .3594104          0   2.954859
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6795
                                                    Adj R-squared     = 0.5667
                                                    Root MSE          = 0.1630

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0003755    .028812    -0.01   0.990    -.0570596    .0563087
             |
 scale_group |
          2  |   .0818976   .0677321     1.21   0.227    -.0513572    .2151525
          3  |          0  (omitted)
          4  |   .0462654   .0342301     1.35   0.177    -.0210783     .113609
          5  |   .0345003   .0375639     0.92   0.359    -.0394023    .1084029
          6  |   .1008845    .059279     1.70   0.090      -.01574     .217509
          7  |  -.0084456    .043346    -0.19   0.846    -.0937237    .0768324
          8  |          0  (empty)
          9  |  -.0123428     .04083    -0.30   0.763     -.092671    .0679854
         10  |          0  (empty)
         11  |   .0523806   .0419868     1.25   0.213    -.0302235    .1349847
         12  |    .017271   .0394391     0.44   0.662    -.0603208    .0948627
             |
  year_group |
          5  |   .3736149     .03051    12.25   0.000     .3135902    .4336397
          6  |  -.1554558   .0695444    -2.24   0.026    -.2922762   -.0186353
          7  |  -.2209665   .0604368    -3.66   0.000    -.3398686   -.1020643
          8  |  -.2320666   .0392099    -5.92   0.000    -.3092075   -.1549257
          9  |  -.2526258   .0389214    -6.49   0.000     -.329199   -.1760526
         10  |  -.2228351     .03051    -7.30   0.000    -.2828598   -.1628104
         11  |  -.2273379   .0377551    -6.02   0.000    -.3016166   -.1530591
         12  |  -.2238205   .0380569    -5.88   0.000    -.2986929   -.1489481
         13  |   -.244274   .0408639    -5.98   0.000    -.3246688   -.1638792
             |
       _cons |   .2926723   .0517769     5.65   0.000     .1908074    .3945373
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,254    .1062044    .2573765          0   2.749171
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(0, 321)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8171
                                                    Adj R-squared     = 0.7528
                                                    Root MSE          = 0.2350

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .033844          .        .       .            .           .
             |
 scale_group |
          2  |   -.006205          .        .       .            .           .
          3  |          0  (omitted)
          4  |    .002505          .        .       .            .           .
          5  |   .0199942          .        .       .            .           .
          6  |  -.0268376          .        .       .            .           .
          7  |   .0466491          .        .       .            .           .
          8  |          0  (empty)
          9  |  -.0375221          .        .       .            .           .
         10  |          0  (empty)
         11  |   -.082794          .        .       .            .           .
         12  |   .0285959          .        .       .            .           .
             |
  year_group |
          5  |  -.0650911          .        .       .            .           .
          6  |   1.015458          .        .       .            .           .
          7  |   .2406454          .        .       .            .           .
          8  |   .3225979          .        .       .            .           .
          9  |   .2875262          .        .       .            .           .
         10  |   .2762515          .        .       .            .           .
         11  |   .1692365          .        .       .            .           .
         12  |   .1779401          .        .       .            .           .
         13  |   .1964396          .        .       .            .           .
             |
       _cons |   .0247017          .        .       .            .           .
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,254    .2686739    .4821862          0   3.441131
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9797
                                                    Adj R-squared     = 0.9726
                                                    Root MSE          = 0.0825

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0135227   .0162329    -0.83   0.405     -.045459    .0184137
             |
 scale_group |
          2  |    .053604    .033419     1.60   0.110     -.012144    .1193519
          3  |          0  (omitted)
          4  |   .0239599   .0146822     1.63   0.104    -.0049257    .0528455
          5  |    .014929   .0142455     1.05   0.295    -.0130974    .0429554
          6  |   .0429951   .0373303     1.15   0.250    -.0304478    .1164381
          7  |  -.0133174   .0200414    -0.66   0.507    -.0527466    .0261117
          8  |          0  (empty)
          9  |   .0356881   .0128906     2.77   0.006     .0103273    .0610489
         10  |          0  (empty)
         11  |   .0233727   .0152923     1.53   0.127    -.0067132    .0534585
         12  |   .0217557   .0304927     0.71   0.476    -.0382351    .0817464
             |
  year_group |
          5  |  -.1667008   .0015743  -105.89   0.000     -.169798   -.1636036
          6  |   -.024872   .1177877    -0.21   0.833    -.2566054    .2068614
          7  |  -.1076221    .016383    -6.57   0.000    -.1398537   -.0753904
          8  |   -.095591   .0121966    -7.84   0.000    -.1195863   -.0715956
          9  |  -.1043021   .0107564    -9.70   0.000     -.125464   -.0831402
         10  |  -.1103235   .0015743   -70.08   0.000    -.1134207   -.1072263
         11  |  -.0886131   .0179751    -4.93   0.000     -.123977   -.0532492
         12  |  -.0891166   .0158155    -5.63   0.000    -.1202316   -.0580015
         13  |  -.0949627   .0225185    -4.22   0.000    -.1392651   -.0506603
             |
       _cons |    .404482   .0213765    18.92   0.000     .3624262    .4465378
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,254    .3140087    .4991165          0    3.43003
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(0, 321)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9616
                                                    Adj R-squared     = 0.9481
                                                    Root MSE          = 0.1088

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0417276          .        .       .            .           .
             |
 scale_group |
          2  |  -.1432112          .        .       .            .           .
          3  |          0  (omitted)
          4  |   .0025084          .        .       .            .           .
          5  |  -.0035922          .        .       .            .           .
          6  |  -.0077886          .        .       .            .           .
          7  |  -.0110322          .        .       .            .           .
          8  |          0  (empty)
          9  |    .004813          .        .       .            .           .
         10  |          0  (empty)
         11  |  -.0087099          .        .       .            .           .
         12  |  -.0255946          .        .       .            .           .
             |
  year_group |
          5  |  -.2419417          .        .       .            .           .
          6  |  -.3863854          .        .       .            .           .
          7  |  -.6214292          .        .       .            .           .
          8  |  -.6403576          .        .       .            .           .
          9  |  -.6347839          .        .       .            .           .
         10  |  -.6213583          .        .       .            .           .
         11  |  -.6073354          .        .       .            .           .
         12  |  -.6029898          .        .       .            .           .
         13  |  -.5770323          .        .       .            .           .
             |
       _cons |   .9534321          .        .       .            .           .
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,254    .3041418    .4906772          0    3.56029
(736 missing values generated)
(736 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,254
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8746
                                                    Adj R-squared     = 0.8304
                                                    Root MSE          = 0.1972

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0125438   .0375311     0.33   0.738    -.0612943    .0863818
             |
 scale_group |
          2  |  -.0648714   .0575802    -1.13   0.261    -.1781536    .0484109
          3  |          0  (omitted)
          4  |   .0224732   .0225235     1.00   0.319    -.0218391    .0667856
          5  |   .0215469   .0271575     0.79   0.428    -.0318823    .0749761
          6  |   .0295456   .0474437     0.62   0.534    -.0637942    .1228854
          7  |   .0631216    .043516     1.45   0.148     -.022491    .1487343
          8  |          0  (empty)
          9  |   .0500272   .0371092     1.35   0.179    -.0229809    .1230352
         10  |          0  (empty)
         11  |  -.0260128   .0381965    -0.68   0.496    -.1011599    .0491343
         12  |  -.0336455   .0540711    -0.62   0.534    -.1400239     .072733
             |
  year_group |
          5  |  -.1565604   .0078246   -20.01   0.000    -.1719543   -.1411665
          6  |   .2757985   .1302407     2.12   0.035     .0195653    .5320317
          7  |   -.091935   .1092705    -0.84   0.401    -.3069117    .1230418
          8  |  -.0492323   .0427359    -1.15   0.250    -.1333102    .0348456
          9  |  -.0848787   .0310039    -2.74   0.007    -.1458752   -.0238822
         10  |  -.0420276   .0078246    -5.37   0.000    -.0574215   -.0266337
         11  |  -.0476687   .0290581    -1.64   0.102     -.104837    .0094996
         12  |  -.0204994   .0300518    -0.68   0.496    -.0796228     .038624
         13  |   .0009599   .0439316     0.02   0.983    -.0854703    .0873901
             |
       _cons |   .3442723   .0413253     8.33   0.000     .2629696     .425575
------------------------------------------------------------------------------
(736 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,254         768           0        768        768

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,254    .3077188    .4797585          0    2.52443

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    331
                                                    F(18, 330)        =   3.38
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7851
                                                    Adj R-squared     = 0.7081
                                                    Root MSE          = 0.2186

                        (Std. err. adjusted for 331 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.019386   .0530146    -0.37   0.715    -.1236752    .0849033
             |
 scale_group |
          2  |    .024718   .0605626     0.41   0.683    -.0944195    .1438555
          3  |          0  (omitted)
          4  |    .034544   .0317231     1.09   0.277     -.027861     .096949
          5  |  -.0432106   .0429876    -1.01   0.316    -.1277748    .0413536
          6  |  -.0165088   .0604307    -0.27   0.785    -.1353868    .1023692
          7  |   .1616318   .0697793     2.32   0.021     .0243634    .2989002
          8  |          0  (empty)
          9  |   -.048119   .0628983    -0.77   0.445    -.1718513    .0756132
         10  |   .0502505   .0732876     0.69   0.493    -.0939193    .1944203
         11  |   .1305267   .0465203     2.81   0.005     .0390129    .2220406
         12  |   .0459242    .053372     0.86   0.390     -.059068    .1509164
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1552429   .0808362    -1.92   0.056    -.3142621    .0037764
          7  |   .1604901   .1088774     1.47   0.141    -.0536913    .3746715
          8  |    .155243   .0808362     1.92   0.056    -.0037763    .3142622
          9  |   .2162264   .0934887     2.31   0.021     .0323175    .4001354
         10  |   .2332096   .0874337     2.67   0.008     .0612119    .4052072
         11  |   .2496003   .0913156     2.73   0.007     .0699662    .4292345
         12  |   .3113872   .0882445     3.53   0.000     .1377945    .4849799
         13  |   .2082419   .0906006     2.30   0.022     .0300142    .3864695
             |
       _cons |  -.0207336   .0862402    -0.24   0.810    -.1903834    .1489162
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,320    .2191609    .4020997          0   3.124569
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    331
                                                    F(18, 330)        =   4.32
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8686
                                                    Adj R-squared     = 0.8215
                                                    Root MSE          = 0.1881

                        (Std. err. adjusted for 331 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0467092   .0473989    -0.99   0.325    -.1399512    .0465328
             |
 scale_group |
          2  |  -.0516201   .0518739    -1.00   0.320    -.1536655    .0504252
          3  |          0  (omitted)
          4  |   .0624985   .0361369     1.73   0.085    -.0085892    .1335863
          5  |    .038667   .0380417     1.02   0.310    -.0361678    .1135017
          6  |    .018032   .0606434     0.30   0.766    -.1012643    .1373284
          7  |   .0361702   .0540558     0.67   0.504    -.0701672    .1425076
          8  |          0  (empty)
          9  |   .0546603   .0384786     1.42   0.156    -.0210341    .1303546
         10  |   .0381779   .0468646     0.81   0.416    -.0540132    .1303689
         11  |   .0207631   .0486077     0.43   0.670    -.0748569    .1163831
         12  |   .0337657   .0411332     0.82   0.412    -.0471506    .1146821
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1422799   .1231603    -1.16   0.249    -.3845582    .0999984
          7  |  -.1750596   .1229897    -1.42   0.156    -.4170024    .0668831
          8  |   -.104476   .1231603    -0.85   0.397    -.3467543    .1378023
          9  |  -.1109301   .1242273    -0.89   0.373    -.3553073    .1334472
         10  |  -.0321429   .1243697    -0.26   0.796    -.2768003    .2125144
         11  |  -.0129939   .1269223    -0.10   0.919    -.2626726    .2366849
         12  |  -.0207163   .1262209    -0.16   0.870    -.2690153    .2275827
         13  |   .1037642   .1432114     0.72   0.469    -.1779583    .3854867
             |
       _cons |   .2828442   .1291676     2.19   0.029     .0287485      .53694
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,320    .2424357    .4354127          0   2.671607
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    331
                                                    F(18, 330)        =  15.54
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7725
                                                    Adj R-squared     = 0.6909
                                                    Root MSE          = 0.1950

                        (Std. err. adjusted for 331 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0400651    .048431     0.83   0.409    -.0552074    .1353376
             |
 scale_group |
          2  |  -.0591441   .0552228    -1.07   0.285    -.1677772     .049489
          3  |          0  (omitted)
          4  |   .1249478   .1123979     1.11   0.267     -.096159    .3460547
          5  |    .107105   .1156891     0.93   0.355    -.1204762    .3346861
          6  |   .0330843   .1201632     0.28   0.783    -.2032983    .2694668
          7  |   .0656277   .1196132     0.55   0.584    -.1696728    .3009283
          8  |          0  (empty)
          9  |    .182311   .1210511     1.51   0.133    -.0558181      .42044
         10  |   .2149986   .1187193     1.81   0.071    -.0185435    .4485407
         11  |   .0885747   .1139767     0.78   0.438    -.1356378    .3127872
         12  |  -.0419832   .0496839    -0.85   0.399    -.1397203    .0557539
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2466668   .0547993    -4.50   0.000    -.3544667   -.1388668
          7  |  -.2016853   .0711391    -2.84   0.005    -.3416286   -.0617421
          8  |  -.1714297   .0547993    -3.13   0.002    -.2792296   -.0636297
          9  |  -.2089375   .0646678    -3.23   0.001    -.3361505   -.0817244
         10  |  -.1944331   .0614926    -3.16   0.002    -.3154001   -.0734662
         11  |  -.2240683   .0609249    -3.68   0.000    -.3439185   -.1042181
         12  |  -.1884055   .0614405    -3.07   0.002    -.3092699   -.0675411
         13  |  -.2004539   .0627948    -3.19   0.002    -.3239824   -.0769254
             |
       _cons |    .339396   .1023067     3.32   0.001     .1381404    .5406515
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,320    .2338221    .3558293          0   2.572091
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    331
                                                    F(18, 330)        =   3.45
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.6005
                                                    Adj R-squared     = 0.4573
                                                    Root MSE          = 0.2236

                        (Std. err. adjusted for 331 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0284253   .0526253    -0.54   0.589    -.1319487    .0750981
             |
 scale_group |
          2  |  -.5697712   .3324884    -1.71   0.088    -1.223835    .0842929
          3  |          0  (omitted)
          4  |   .0605804   .0286067     2.12   0.035      .004306    .1168548
          5  |   .0848257   .0397916     2.13   0.034     .0065485     .163103
          6  |   .1102649   .0552236     2.00   0.047     .0016302    .2188995
          7  |  -.0320453   .0518823    -0.62   0.537     -.134107    .0700164
          8  |          0  (empty)
          9  |  -.0507844   .0507512    -1.00   0.318     -.150621    .0490523
         10  |  -.0126541   .0386592    -0.33   0.744    -.0887037    .0633956
         11  |   .0861666   .0453491     1.90   0.058    -.0030432    .1753763
         12  |   -.559752   .3196595    -1.75   0.081    -1.188579    .0690753
             |
  year_group |
          5  |          0  (empty)
          6  |   .3816667   .1893368     2.02   0.045     .0092075     .754126
          7  |    .282794   .1915193     1.48   0.141    -.0939586    .6595466
          8  |   .2077464   .1893368     1.10   0.273    -.1647129    .5802056
          9  |   .1807933   .1916721     0.94   0.346    -.1962599    .5578465
         10  |    .180241   .1912762     0.94   0.347    -.1960334    .5565154
         11  |   .1974637   .1925765     1.03   0.306    -.1813687    .5762961
         12  |   .1568584   .1932958     0.81   0.418    -.2233889    .5371057
         13  |   .1757279   .1950592     0.90   0.368    -.2079885    .5594442
             |
       _cons |   .0598147   .2226687     0.27   0.788    -.3782143    .4978437
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,320    .1336111    .2968328          0   3.075647
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    331
                                                    F(18, 330)        =   9.65
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7301
                                                    Adj R-squared     = 0.6334
                                                    Root MSE          = 0.2861

                        (Std. err. adjusted for 331 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0720329    .053722     1.34   0.181    -.0336479    .1777136
             |
 scale_group |
          2  |    -.00817   .0929686    -0.09   0.930    -.1910558    .1747158
          3  |          0  (omitted)
          4  |  -.0542013   .0406083    -1.33   0.183    -.1340851    .0256825
          5  |   .0256026    .046685     0.55   0.584    -.0662352    .1174403
          6  |  -.1527854   .0776079    -1.97   0.050    -.3054539   -.0001169
          7  |   .0134851   .0768318     0.18   0.861    -.1376568    .1646269
          8  |          0  (empty)
          9  |     .02175   .1087214     0.20   0.842    -.1921243    .2356243
         10  |  -.1475091    .069355    -2.13   0.034    -.2839428   -.0110754
         11  |  -.1485526   .0551429    -2.69   0.007    -.2570284   -.0400767
         12  |   .0762505   .0861001     0.89   0.376    -.0931238    .2456248
             |
  year_group |
          5  |          0  (empty)
          6  |    .620913   .2836632     2.19   0.029     .0628969    1.178929
          7  |  -.1230542   .3002648    -0.41   0.682    -.7137288    .4676203
          8  |   .0262453   .2836632     0.09   0.926    -.5317709    .5842614
          9  |   .0001043   .2897838     0.00   1.000    -.5699523    .5701609
         10  |  -.0414446   .2887509    -0.14   0.886    -.6094693      .52658
         11  |  -.1788601   .2889137    -0.62   0.536    -.7472049    .3894846
         12  |  -.1363153   .2898053    -0.47   0.638    -.7064141    .4337835
         13  |  -.1184592   .2905052    -0.41   0.684    -.6899348    .4530164
             |
       _cons |   .3279889   .2868127     1.14   0.254    -.2362231    .8922008
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,320    .2514053    .4497742          0   3.862162
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    331
                                                    F(18, 330)        =  19.06
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9705
                                                    Adj R-squared     = 0.9599
                                                    Root MSE          = 0.1018

                        (Std. err. adjusted for 331 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0153413   .0249078     0.62   0.538    -.0336569    .0643394
             |
 scale_group |
          2  |    .012274   .0158613     0.77   0.440     -.018928     .043476
          3  |          0  (omitted)
          4  |   .0266183   .0219012     1.22   0.225    -.0164654    .0697019
          5  |    .014215   .0229163     0.62   0.535    -.0308655    .0592955
          6  |     .09598    .075467     1.27   0.204    -.0524771    .2444372
          7  |  -.0108484   .0398018    -0.27   0.785    -.0891457    .0674489
          8  |          0  (empty)
          9  |   .0592354   .0279613     2.12   0.035     .0042304    .1142403
         10  |  -.0746015   .0514037    -1.45   0.148    -.1757217    .0265188
         11  |   .0528027   .0318885     1.66   0.099    -.0099276     .115533
         12  |   .0037334   .0142899     0.26   0.794    -.0243773    .0318441
             |
  year_group |
          5  |          0  (empty)
          6  |    .106318   .0500788     2.12   0.034      .007804     .204832
          7  |   .0080276   .0553278     0.15   0.885     -.100812    .1168672
          8  |   .0036968   .0500788     0.07   0.941    -.0948172    .1022108
          9  |   .0209936   .0542008     0.39   0.699    -.0856291    .1276164
         10  |    -.00785   .0521978    -0.15   0.881    -.1105323    .0948323
         11  |    .003737    .054156     0.07   0.945    -.1027976    .1102716
         12  |   .0311263   .0552108     0.56   0.573    -.0774832    .1397359
         13  |    .022385   .0565277     0.40   0.692     -.088815     .133585
             |
       _cons |   .2783215   .0549903     5.06   0.000     .1701457    .3864972
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,320    .2947489    .4880279          0   2.864649
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    331
                                                    F(18, 330)        =   2.26
                                                    Prob > F          = 0.0026
                                                    R-squared         = 0.9580
                                                    Adj R-squared     = 0.9430
                                                    Root MSE          = 0.1169

                        (Std. err. adjusted for 331 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0260706   .0268205    -0.97   0.332    -.0788313    .0266901
             |
 scale_group |
          2  |  -.0426545   .0862527    -0.49   0.621    -.2123288    .1270199
          3  |          0  (omitted)
          4  |   .0185938    .020464     0.91   0.364    -.0216625      .05885
          5  |     .01787   .0231204     0.77   0.440     -.027612    .0633519
          6  |   .0336456   .0277956     1.21   0.227    -.0210334    .0883245
          7  |   .0056724   .0306381     0.19   0.853    -.0545981     .065943
          8  |          0  (empty)
          9  |  -.0016749   .0344838    -0.05   0.961    -.0695108    .0661609
         10  |   .0012928   .0282836     0.05   0.964     -.054346    .0569317
         11  |   .0373903   .0369538     1.01   0.312    -.0353044     .110085
         12  |  -.0371738   .0758408    -0.49   0.624    -.1863662    .1120187
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5005178   .1203543    -4.16   0.000    -.7372762   -.2637593
          7  |  -.6264044    .128582    -4.87   0.000    -.8793483   -.3734606
          8  |  -.6231657   .1203543    -5.18   0.000    -.8599242   -.3864072
          9  |   -.595518   .1212999    -4.91   0.000    -.8341365   -.3568995
         10  |  -.5966026   .1208655    -4.94   0.000    -.8343666   -.3588386
         11  |  -.5574054   .1207653    -4.62   0.000    -.7949723   -.3198385
         12  |  -.5771855   .1197345    -4.82   0.000    -.8127247   -.3416463
         13  |  -.5898386   .1196815    -4.93   0.000    -.8252736   -.3544037
             |
       _cons |   .9071909   .1215134     7.47   0.000     .6681523     1.14623
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,320     .292075    .4802022          0   2.956059
(670 missing values generated)
(670 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,320
Absorbed variable: factor_pair                      No. of categories =    331
                                                    F(18, 330)        =   5.66
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9086
                                                    Adj R-squared     = 0.8758
                                                    Root MSE          = 0.1686

                        (Std. err. adjusted for 331 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0025601   .0393332     0.07   0.948    -.0748154    .0799356
             |
 scale_group |
          2  |  -.4418367   .2437551    -1.81   0.071    -.9213465    .0376731
          3  |          0  (omitted)
          4  |  -.0686274   .0223505    -3.07   0.002    -.1125947     -.02466
          5  |  -.0398492   .0278826    -1.43   0.154    -.0946993    .0150008
          6  |  -.0397208   .0698205    -0.57   0.570    -.1770702    .0976286
          7  |   -.080427   .0467336    -1.72   0.086    -.1723602    .0115063
          8  |          0  (empty)
          9  |  -.0352917   .0450074    -0.78   0.434    -.1238293    .0532458
         10  |  -.1529123   .0520513    -2.94   0.004    -.2553064   -.0505182
         11  |  -.0838266   .0354998    -2.36   0.019     -.153661   -.0139921
         12  |  -.3587786    .236443    -1.52   0.130    -.8239043     .106347
             |
  year_group |
          5  |          0  (empty)
          6  |   .1260826   .1235426     1.02   0.308    -.1169478     .369113
          7  |  -.1769881   .1285681    -1.38   0.170    -.4299044    .0759283
          8  |  -.1180699   .1235426    -0.96   0.340    -.3611003    .1249605
          9  |  -.1591884   .1253163    -1.27   0.205    -.4057079    .0873312
         10  |  -.1780487   .1256998    -1.42   0.158    -.4253227    .0692253
         11  |  -.2322523   .1260554    -1.84   0.066    -.4802258    .0157211
         12  |  -.2135248   .1275994    -1.67   0.095    -.4645357     .037486
         13  |  -.2093146   .1285363    -1.63   0.104    -.4621684    .0435393
             |
       _cons |   .6194658   .1500285     4.13   0.000     .3243329    .9145987
------------------------------------------------------------------------------
(670 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,320         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,320    .2769029    .4631249          0   2.364272

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7833
                                                    Adj R-squared     = 0.7096
                                                    Root MSE          = 0.2144

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0264981   .0441274    -0.60   0.549    -.1133094    .0603133
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0709539   .0810038    -0.88   0.382     -.230312    .0884041
          4  |   .1742941   .0557391     3.13   0.002     .0646391    .2839491
          5  |   .1217501   .0456638     2.67   0.008     .0319163     .211584
          6  |   .1516788   .0831097     1.83   0.069     -.011822    .3151797
          7  |   .2130352   .0700355     3.04   0.003      .075255    .3508153
          8  |   .2209969   .0700355     3.16   0.002     .0832168    .3587771
          9  |   .1736133   .0628126     2.76   0.006     .0500428    .2971839
         10  |   .1962558   .1135902     1.73   0.085    -.0272091    .4197207
         11  |   .2094006   .0654155     3.20   0.002     .0807093    .3380919
         12  |  -.0145645   .0427101    -0.34   0.733    -.0985877    .0694588
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |  -.2697284   .2005287    -1.35   0.180    -.6642265    .1247697
          7  |   .1101159    .135349     0.81   0.416    -.1561549    .3763867
          8  |   .1036487    .117616     0.88   0.379    -.1277361    .3350336
          9  |   .1154756   .1228553     0.94   0.348    -.1262165    .3571676
         10  |   .2420846   .1214422     1.99   0.047     .0031726    .4809965
         11  |   .2692532   .1278133     2.11   0.036     .0178073     .520699
         12  |   .2950759    .127065     2.32   0.021     .0451022    .5450497
         13  |   .2095968   .1326705     1.58   0.115    -.0514045    .4705981
             |
       _cons |  -.0980559   .1311123    -0.75   0.455    -.3559919    .1598801
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,290    .2146904    .3910257          0   3.018632
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8479
                                                    Adj R-squared     = 0.7962
                                                    Root MSE          = 0.2150

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0239698   .0469778     0.51   0.610    -.0684491    .1163887
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0782484    .043204    -1.81   0.071    -.1632433    .0067465
          4  |     .16326   .0393364     4.15   0.000      .085874     .240646
          5  |   .1086626   .0373683     2.91   0.004     .0351482    .1821769
          6  |   .1338026   .0523095     2.56   0.011     .0308948    .2367105
          7  |   .1204663   .0586316     2.05   0.041     .0051209    .2358118
          8  |   .1204664   .0586316     2.05   0.041     .0051209    .2358118
          9  |   .1519045   .0405156     3.75   0.000     .0721987    .2316104
         10  |   .1516558   .0691886     2.19   0.029     .0155417    .2877699
         11  |   .1651234   .0473351     3.49   0.001     .0720016    .2582451
         12  |  -.0163381   .0256962    -0.64   0.525    -.0668899    .0342138
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |   .0876893   .1671417     0.52   0.600    -.2411269    .4165056
          7  |   .0871605   .1034825     0.84   0.400    -.1164196    .2907406
          8  |   .1282123    .100764     1.27   0.204    -.0700198    .3264444
          9  |   .1610175   .1009275     1.60   0.112    -.0375361     .359571
         10  |   .2576951   .0993579     2.59   0.010     .0622293    .4531609
         11  |   .3225097   .1079289     2.99   0.003     .1101823    .5348371
         12  |   .2578103   .1045793     2.47   0.014     .0520726    .4635481
         13  |   .2670186   .1176954     2.27   0.024     .0354776    .4985596
             |
       _cons |  -.0860782   .1076007    -0.80   0.424      -.29776    .1256035
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,290    .2536217    .4706673          0   3.532267
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7856
                                                    Adj R-squared     = 0.7127
                                                    Root MSE          = 0.1764

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0244286   .0347432     0.70   0.482    -.0439212    .0927785
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0512944   .0570936     0.90   0.370    -.0610252     .163614
          4  |    .075418   .0386572     1.95   0.052     -.000632     .151468
          5  |   .0628309    .037086     1.69   0.091     -.010128    .1357898
          6  |   .0167736   .0471824     0.36   0.722    -.0760479    .1095952
          7  |   .0370819   .0356797     1.04   0.299    -.0331104    .1072743
          8  |   .0370819   .0356797     1.04   0.299    -.0331104    .1072743
          9  |   .0423096   .0548378     0.77   0.441    -.0655722    .1501914
         10  |   .1282307   .0456769     2.81   0.005     .0383711    .2180903
         11  |   .0767645   .0443937     1.73   0.085    -.0105707    .1640998
         12  |   -.036192   .0507418    -0.71   0.476    -.1360158    .0636318
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |  -.3317502   .0768533    -4.32   0.000     -.482943   -.1805574
          7  |  -.3359549   .0764605    -4.39   0.000     -.486375   -.1855349
          8  |   -.307233   .0573407    -5.36   0.000    -.4200388   -.1944272
          9  |   -.420885   .0581479    -7.24   0.000    -.5352788   -.3064912
         10  |  -.3702685   .0546409    -6.78   0.000     -.477763   -.2627739
         11  |  -.3638043   .0568228    -6.40   0.000    -.4755911   -.2520174
         12  |  -.3703095   .0591077    -6.26   0.000    -.4865915   -.2540275
         13  |  -.3368067   .0593212    -5.68   0.000    -.4535086   -.2201048
             |
       _cons |   .5194496   .0600217     8.65   0.000     .4013696    .6375296
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,290    .2060746    .3256081          0   2.149066
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6225
                                                    Adj R-squared     = 0.4942
                                                    Root MSE          = 0.1666

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0103293   .0312293    -0.33   0.741    -.0717664    .0511078
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0654042   .1006564     0.65   0.516    -.1326163    .2634246
          4  |   .0299164   .0338944     0.88   0.378    -.0367636    .0965964
          5  |   .0206166   .0295681     0.70   0.486    -.0375523    .0787856
          6  |   .0008144   .0368598     0.02   0.982    -.0716995    .0733284
          7  |  -.0718577    .039717    -1.81   0.071    -.1499927    .0062772
          8  |  -.0718577    .039717    -1.81   0.071    -.1499927    .0062772
          9  |  -.0760688   .0412398    -1.84   0.066    -.1571996    .0050619
         10  |   -.010318    .037154    -0.28   0.781    -.0834108    .0627747
         11  |   .0399118   .0364608     1.09   0.274    -.0318171    .1116407
         12  |   .0006853   .0264218     0.03   0.979     -.051294    .0526646
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |   .1908943   .2936387     0.65   0.516    -.3867782    .7685667
          7  |  -.1274873   .1913983    -0.67   0.506    -.5040233    .2490487
          8  |  -.2115502   .1837478    -1.15   0.250    -.5730355     .149935
          9  |  -.2302821   .1904224    -1.21   0.227    -.6048983    .1443341
         10  |  -.2127653   .1921026    -1.11   0.269    -.5906868    .1651563
         11  |  -.1895034   .1920866    -0.99   0.325    -.5673934    .1883867
         12  |  -.2291206   .1927672    -1.19   0.235    -.6083497    .1501085
         13  |  -.2167141   .1928115    -1.12   0.262    -.5960302     .162602
             |
       _cons |   .3093676   .1941374     1.59   0.112    -.0725569    .6912922
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,290    .1071658    .2257131          0   2.242851
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8124
                                                    Adj R-squared     = 0.7487
                                                    Root MSE          = 0.2271

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0468398   .0377325     1.24   0.215    -.0273909    .1210706
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0238734   .0610375     0.39   0.696     -.096205    .1439517
          4  |   .0102359   .0585538     0.17   0.861    -.1049563    .1254282
          5  |   .0386344   .0515905     0.75   0.454    -.0628591    .1401278
          6  |   .0021005   .0625715     0.03   0.973    -.1209959    .1251968
          7  |   .0170764   .0619882     0.28   0.783    -.1048724    .1390252
          8  |     .03128   .0619882     0.50   0.614    -.0906688    .1532288
          9  |   .0376263   .0680478     0.55   0.581    -.0962434     .171496
         10  |  -.0821844   .0716423    -1.15   0.252    -.2231256    .0587568
         11  |  -.0306697   .0612333    -0.50   0.617    -.1511333    .0897939
         12  |   .0390439   .0455502     0.86   0.392    -.0505666    .1286543
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |   .8163889   .4261834     1.92   0.056    -.0220374    1.654815
          7  |  -.4029795   .2612313    -1.54   0.124    -.9168972    .1109381
          8  |  -.1587972   .2555592    -0.62   0.535    -.6615563    .3439618
          9  |   -.189725   .2564309    -0.74   0.460    -.6941989    .3147489
         10  |   -.217699   .2523962    -0.86   0.389    -.7142356    .2788375
         11  |  -.3418635     .25633    -1.33   0.183     -.846139    .1624119
         12  |  -.3401967   .2572748    -1.32   0.187    -.8463308    .1659374
         13  |  -.3505042   .2569668    -1.36   0.174    -.8560324    .1550241
             |
       _cons |   .4906841    .253231     1.94   0.054    -.0074948     .988863
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,290    .2591041    .4588508          0   3.656785
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9742
                                                    Adj R-squared     = 0.9655
                                                    Root MSE          = 0.0918

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0150719   .0149869    -1.01   0.315    -.0445555    .0144117
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0157079   .0171319    -0.92   0.360    -.0494114    .0179956
          4  |  -.0187636   .0275848    -0.68   0.497    -.0730308    .0355037
          5  |  -.0207747   .0204016    -1.02   0.309    -.0609105    .0193611
          6  |  -.0023874   .0346092    -0.07   0.945    -.0704738    .0656991
          7  |  -.0656516   .0345362    -1.90   0.058    -.1335944    .0022912
          8  |  -.0586003   .0345362    -1.70   0.091    -.1265431    .0093425
          9  |  -.0164267   .0235971    -0.70   0.487     -.062849    .0299957
         10  |  -.1078574   .0634137    -1.70   0.090    -.2326106    .0168958
         11  |   .0001548   .0309368     0.01   0.996    -.0607069    .0610166
         12  |  -.0172957   .0121576    -1.42   0.156    -.0412133    .0066219
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |   .1863248   .0538372     3.46   0.001     .0804113    .2922382
          7  |   .1115687    .045063     2.48   0.014     .0229167    .2002206
          8  |   .1261588   .0439608     2.87   0.004     .0396752    .2126425
          9  |   .1339237   .0466338     2.87   0.004     .0421814     .225666
         10  |    .120685   .0461444     2.62   0.009     .0299055    .2114645
         11  |   .1365919   .0476109     2.87   0.004     .0429274    .2302563
         12  |    .154672   .0486916     3.18   0.002     .0588816    .2504624
         13  |   .1469461   .0525032     2.80   0.005      .043657    .2502352
             |
       _cons |   .1909388   .0510568     3.74   0.000     .0904954    .2913823
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,290    .2840553    .4698788          0   2.548673
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9582
                                                    Adj R-squared     = 0.9440
                                                    Root MSE          = 0.1134

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0480104   .0237303    -2.02   0.044    -.0946948    -.001326
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0692765   .0686127     1.01   0.313    -.0657046    .2042577
          4  |  -.0275449   .0281354    -0.98   0.328    -.0828954    .0278055
          5  |  -.0222456   .0216494    -1.03   0.305    -.0648362     .020345
          6  |  -.0318612   .0351279    -0.91   0.365    -.1009679    .0372455
          7  |  -.0395221   .0292931    -1.35   0.178    -.0971501    .0181059
          8  |  -.0395221   .0292931    -1.35   0.178    -.0971501    .0181059
          9  |  -.0071981   .0308978    -0.23   0.816    -.0679831    .0535869
         10  |  -.0396848   .0319168    -1.24   0.215    -.1024745    .0231049
         11  |  -.0295388    .041707    -0.71   0.479    -.1115885    .0525109
         12  |   .0723387   .0321319     2.25   0.025     .0091259    .1355516
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |  -.6998915   .0938404    -7.46   0.000    -.8845027   -.5152803
          7  |  -.6183536    .154877    -3.99   0.000    -.9230416   -.3136657
          8  |  -.6295673   .1550918    -4.06   0.000    -.9346778   -.3244569
          9  |  -.6225066    .156352    -3.98   0.000    -.9300963   -.3149169
         10  |  -.6048221   .1569987    -3.85   0.000     -.913684   -.2959602
         11  |  -.5979892   .1560484    -3.83   0.000    -.9049817   -.2909968
         12  |  -.5863363   .1555844    -3.77   0.000     -.892416   -.2802567
         13  |  -.6121408   .1584307    -3.86   0.000    -.9238199   -.3004616
             |
       _cons |   .9242289   .1577633     5.86   0.000     .6138628    1.234595
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,290    .2774071    .4640949          0   2.655803
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    309
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8561
                                                    Adj R-squared     = 0.8073
                                                    Root MSE          = 0.2086

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .013876   .0353348     0.39   0.695    -.0556379    .0833898
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0503329   .0639878    -0.79   0.432    -.1762155    .0755497
          4  |   .0285292   .0528622     0.54   0.590     -.075466    .1325244
          5  |    .069764   .0437053     1.60   0.111    -.0162171    .1557451
          6  |   .0392064   .0595017     0.66   0.510    -.0778506    .1562635
          7  |   .0131435   .0561846     0.23   0.815     -.097388     .123675
          8  |   .0158299   .0561846     0.28   0.778    -.0947016    .1263614
          9  |   .0541189    .057425     0.94   0.347    -.0588528    .1670906
         10  |  -.0863609   .0930058    -0.93   0.354    -.2693302    .0966084
         11  |   .0824136   .0594326     1.39   0.166    -.0345075    .1993348
         12  |    .040265   .0346589     1.16   0.246    -.0279191    .1084491
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |  -.1009477    .188553    -0.54   0.593    -.4718861    .2699907
          7  |  -.6442039   .2457493    -2.62   0.009    -1.127664   -.1607438
          8  |  -.5239604   .2474219    -2.12   0.035    -1.010711   -.0372097
          9  |  -.5638177   .2411018    -2.34   0.020    -1.038135   -.0895006
         10  |  -.4863883   .2384258    -2.04   0.042     -.955441   -.0173356
         11  |   -.461577   .2393845    -1.93   0.055    -.9325158    .0093617
         12  |  -.4422768   .2394306    -1.85   0.066    -.9133061    .0287526
         13  |  -.4310945   .2412707    -1.79   0.075    -.9057439    .0435549
             |
       _cons |   .7409922   .2405884     3.08   0.002     .2676851    1.214299
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         781           0        781        781

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,290    .3051337    .4730188          0   2.139711

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(858 missing values generated)
(858 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,132
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 310)        =   5.99
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7463
                                                    Adj R-squared     = 0.6449
                                                    Root MSE          = 0.2364

                        (Std. err. adjusted for 311 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0331875   .0547078     0.61   0.545     -.074458    .1408331
             |
 scale_group |
          2  |   .0720252   .0767786     0.94   0.349    -.0790478    .2230983
          3  |          0  (omitted)
          4  |    .164258   .0394501     4.16   0.000     .0866342    .2418817
          5  |     .08048   .0622837     1.29   0.197    -.0420723    .2030322
          6  |    .142244   .0698485     2.04   0.043      .004807     .279681
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0831579   .0610041     1.36   0.174    -.0368766    .2031924
         10  |   .2096889   .1184022     1.77   0.078    -.0232847    .4426625
         11  |   .1938515   .0626063     3.10   0.002     .0706645    .3170384
         12  |    .107705   .0789025     1.37   0.173    -.0475472    .2629572
             |
  year_group |
          5  |   .0521881    .006671     7.82   0.000      .039062    .0653142
          6  |  -.3801008   .2298238    -1.65   0.099    -.8323127    .0721111
          7  |   .0585975   .1843257     0.32   0.751    -.3040902    .4212852
          8  |  -.0108475    .173793    -0.06   0.950    -.3528106    .3311156
          9  |   .0627671   .1668879     0.38   0.707    -.2656092    .3911433
         10  |   .0686548   .1737574     0.40   0.693    -.2732383    .4105479
         11  |   .1361458   .1797086     0.76   0.449    -.2174571    .4897486
         12  |    .138239   .1800259     0.77   0.443    -.2159883    .4924662
         13  |   .0990219    .179027     0.55   0.581    -.2532397    .4512836
             |
       _cons |  -.0091462    .179543    -0.05   0.959    -.3624232    .3441308
------------------------------------------------------------------------------
(858 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,132         729           0        729        729

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,132    .2306765    .4049071          0   2.988607
(858 missing values generated)
(858 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,132
Absorbed variable: factor_pair                    No. of categories =      306
                                                  F(18, 310)        = 3.51e+13
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8273
                                                  Adj R-squared     =   0.7583
                                                  Root MSE          =   0.2233

                        (Std. err. adjusted for 311 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0032939   .0632013    -0.05   0.958    -.1276517     .121064
             |
 scale_group |
          2  |   .0427987   .0582747     0.73   0.463    -.0718652    .1574625
          3  |          0  (omitted)
          4  |   .0948078   .0310434     3.05   0.002     .0337254    .1558903
          5  |   .0368285   .0470263     0.78   0.434    -.0557026    .1293596
          6  |   .0656188   .0511214     1.28   0.200    -.0349701    .1662077
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0400219   .0415816     0.96   0.337     -.041796    .1218398
         10  |    .115116   .0631736     1.82   0.069    -.0091874    .2394194
         11  |   .0515756   .0518927     0.99   0.321     -.050531    .1536821
         12  |   .0567539   .0569344     1.00   0.320    -.0552728    .1687807
             |
  year_group |
          5  |  -.4296915   1.71e-08 -2.5e+07   0.000    -.4296915   -.4296915
          6  |  -.3515471   .2428764    -1.45   0.149     -.829442    .1263477
          7  |  -.3447198   .1937338    -1.78   0.076    -.7259194    .0364798
          8  |  -.2803309   .1913753    -1.46   0.144    -.6568897    .0962279
          9  |  -.2539179   .1891611    -1.34   0.180      -.62612    .1182841
         10  |  -.1829268   .1908187    -0.96   0.338    -.5583904    .1925369
         11  |  -.1488089   .1952369    -0.76   0.447    -.5329661    .2353483
         12  |  -.1977512   .1946118    -1.02   0.310    -.5806784    .1851759
         13  |  -.0163981   .2070649    -0.08   0.937    -.4238286    .3910323
             |
       _cons |   .3847901     .19429     1.98   0.049     .0024961    .7670841
------------------------------------------------------------------------------
(858 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,132         729           0        729        729

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,132     .259651    .4508755          0   2.904043
(858 missing values generated)
(858 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,132
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 310)        =   3.55
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7855
                                                    Adj R-squared     = 0.6998
                                                    Root MSE          = 0.2210

                        (Std. err. adjusted for 311 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0016271   .0396932     0.04   0.967    -.0764751    .0797293
             |
 scale_group |
          2  |   -.095498   .0802701    -1.19   0.235    -.2534411    .0624451
          3  |          0  (omitted)
          4  |  -.0275612   .0228025    -1.21   0.228    -.0724284     .017306
          5  |  -.0257826   .0317231    -0.81   0.417    -.0882023    .0366372
          6  |  -.1399724   .0445917    -3.14   0.002     -.227713   -.0522317
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0067028   .0435419     0.15   0.878    -.0789723    .0923779
         10  |   .0462544   .0586906     0.79   0.431    -.0692279    .1617366
         11  |  -.0171882    .038806    -0.44   0.658    -.0935446    .0591682
         12  |  -.1174945   .0652764    -1.80   0.073    -.2459354    .0109464
             |
  year_group |
          5  |   .3089935   .1297515     2.38   0.018     .0536885    .5642985
          6  |  -.3123618   .1993662    -1.57   0.118    -.7046438    .0799202
          7  |  -.2102183   .1766631    -1.19   0.235    -.5578286    .1373921
          8  |  -.1708536   .1750192    -0.98   0.330    -.5152295    .1735222
          9  |  -.1969314   .1682143    -1.17   0.243    -.5279175    .1340548
         10  |  -.1910822   .1710764    -1.12   0.265       -.5277    .1455355
         11  |  -.2348661   .1710565    -1.37   0.171    -.5714446    .1017125
         12  |  -.1704669   .1732671    -0.98   0.326    -.5113952    .1704614
         13  |   -.230494   .1718979    -1.34   0.181    -.5687282    .1077401
             |
       _cons |   .5129914   .1718111     2.99   0.003      .174928    .8510549
------------------------------------------------------------------------------
(858 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,132         729           0        729        729

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,132    .2826812     .418179          0   2.294241
(858 missing values generated)
(858 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,132
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 310)        = 123.80
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5524
                                                    Adj R-squared     = 0.3735
                                                    Root MSE          = 0.2162

                        (Std. err. adjusted for 311 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0391859   .0496551    -0.79   0.431    -.1368896    .0585178
             |
 scale_group |
          2  |  -.2008122   .2299891    -0.87   0.383    -.6533494     .251725
          3  |          0  (omitted)
          4  |   .0437099    .021495     2.03   0.043     .0014152    .0860045
          5  |   .0473118    .031351     1.51   0.132    -.0143759    .1089996
          6  |   .0828719   .0469832     1.76   0.079    -.0095745    .1753182
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0019132   .0362743     0.05   0.958    -.0694617    .0732881
         10  |   .0419195   .0334493     1.25   0.211    -.0238968    .1077358
         11  |   .0511719   .0293899     1.74   0.083     -.006657    .1090009
         12  |  -.2860599   .2026416    -1.41   0.159    -.6847869     .112667
             |
  year_group |
          5  |   .0925516   .0718564     1.29   0.199    -.0488363    .2339395
          6  |   .4074027   .0995931     4.09   0.000     .2114386    .6033667
          7  |   .2793139   .1026386     2.72   0.007     .0773574    .4812704
          8  |   .3030291   .0941482     3.22   0.001     .1177788    .4882794
          9  |   .2270869   .0828696     2.74   0.006      .064029    .3901449
         10  |   .2270798   .0887543     2.56   0.011     .0524428    .4017169
         11  |   .2471209   .0882678     2.80   0.005     .0734412    .4208007
         12  |   .2311633   .0877112     2.64   0.009     .0585787    .4037478
         13  |   .1998247   .0902664     2.21   0.028     .0222124    .3774371
             |
       _cons |  -.0635946   .1202301    -0.53   0.597    -.3001649    .1729758
------------------------------------------------------------------------------
(858 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,132         729           0        729        729

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,132    .1226446    .2634715          0   2.601479
(858 missing values generated)
(858 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,132
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 310)        =  96.65
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8165
                                                    Adj R-squared     = 0.7432
                                                    Root MSE          = 0.2438

                        (Std. err. adjusted for 311 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0792864   .0454767     1.74   0.082    -.0101957    .1687684
             |
 scale_group |
          2  |  -.1343513   .0797168    -1.69   0.093    -.2912057     .022503
          3  |          0  (omitted)
          4  |  -.0055075    .026858    -0.21   0.838    -.0583545    .0473395
          5  |   .0543773   .0465558     1.17   0.244     -.037228    .1459827
          6  |   -.058691   .0596508    -0.98   0.326    -.1760628    .0586807
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0863163    .068228     1.27   0.207    -.0479323    .2205648
         10  |  -.0169977   .0694862    -0.24   0.807     -.153722    .1197266
         11  |  -.0443188   .0405743    -1.09   0.276    -.1241547     .035517
         12  |   -.092475   .0644801    -1.43   0.153    -.2193491    .0343991
             |
  year_group |
          5  |  -.0608307   .1569541    -0.39   0.699    -.3696609    .2479994
          6  |   .1792116   .3010481     0.60   0.552    -.4131445    .7715678
          7  |  -.0790962   .2624426    -0.30   0.763    -.5954903    .4372978
          8  |  -.0158657   .2484711    -0.06   0.949    -.5047689    .4730374
          9  |   -.004225    .235817    -0.02   0.986    -.4682294    .4597793
         10  |  -.0301017   .2402688    -0.13   0.900    -.5028656    .4426621
         11  |  -.1313067   .2408293    -0.55   0.586    -.6051734      .34256
         12  |  -.1604292   .2418186    -0.66   0.508    -.6362425    .3153841
         13  |  -.1145013   .2417292    -0.47   0.636    -.5901387    .3611361
             |
       _cons |   .3360573   .2403923     1.40   0.163    -.1369496    .8090641
------------------------------------------------------------------------------
(858 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,132         729           0        729        729

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,132    .2730155    .4883413          0   2.650023
(858 missing values generated)
(858 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators            Number of obs     =   1,132
Absorbed variable: factor_pair                     No. of categories =     306
                                                   F(18, 310)        = 1042.59
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.9693
                                                   Adj R-squared     =  0.9571
                                                   Root MSE          =  0.1061

                        (Std. err. adjusted for 311 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0289507   .0227045     1.28   0.203    -.0157236     .073625
             |
 scale_group |
          2  |    .002634   .0204383     0.13   0.898    -.0375814    .0428494
          3  |          0  (omitted)
          4  |   .0354169   .0199768     1.77   0.077    -.0038905    .0747242
          5  |  -.0048109   .0215355    -0.22   0.823    -.0471852    .0375634
          6  |   .0749738    .065404     1.15   0.253    -.0537182    .2036658
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0214174   .0235535     0.91   0.364    -.0249275    .0677624
         10  |  -.0091064   .0552184    -0.16   0.869    -.1177567    .0995438
         11  |   .0063131   .0220683     0.29   0.775    -.0371095    .0497357
         12  |  -.0051323     .01642    -0.31   0.755     -.037441    .0271765
             |
  year_group |
          5  |  -.1740204   .0284415    -6.12   0.000    -.2299832   -.1180575
          6  |   .0904378   .0952411     0.95   0.343     -.096963    .2778386
          7  |  -.1042137   .0643931    -1.62   0.107    -.2309165    .0224891
          8  |  -.1161912   .0563859    -2.06   0.040    -.2271386   -.0052438
          9  |  -.1150521   .0536179    -2.15   0.033    -.2205532    -.009551
         10  |  -.1430658    .056681    -2.52   0.012    -.2545938   -.0315377
         11  |  -.1128479   .0596513    -1.89   0.059    -.2302205    .0045248
         12  |  -.1263724   .0597366    -2.12   0.035     -.243913   -.0088319
         13  |  -.1034623   .0611443    -1.69   0.092    -.2237727    .0168481
             |
       _cons |   .4223097   .0595607     7.09   0.000     .3051154     .539504
------------------------------------------------------------------------------
(858 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,132         729           0        729        729

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,132    .3269964    .5098409          0   2.533108
(858 missing values generated)
(858 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,132
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 310)        =  14.15
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9637
                                                    Adj R-squared     = 0.9492
                                                    Root MSE          = 0.1135

                        (Std. err. adjusted for 311 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0464233    .025604    -1.81   0.071     -.096803    .0039563
             |
 scale_group |
          2  |  -.0745813   .0587818    -1.27   0.205     -.190243    .0410804
          3  |          0  (omitted)
          4  |   .0159557   .0123758     1.29   0.198    -.0083956     .040307
          5  |   .0121546   .0182798     0.66   0.507    -.0238136    .0481228
          6  |   .0085241   .0245227     0.35   0.728    -.0397279     .056776
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0188854   .0234822     0.80   0.422    -.0273193    .0650901
         10  |  -.0006875   .0221917    -0.03   0.975    -.0443529     .042978
         11  |   .0016225   .0330135     0.05   0.961    -.0633364    .0665814
         12  |  -.0455252   .0577077    -0.79   0.431    -.1590735    .0680232
             |
  year_group |
          5  |  -.2383495   .0260249    -9.16   0.000    -.2895572   -.1871417
          6  |  -.7344624   .1441466    -5.10   0.000    -1.018092    -.450833
          7  |  -.8572632   .1172295    -7.31   0.000    -1.087929   -.6265971
          8  |  -.8648813   .1136889    -7.61   0.000    -1.088581   -.6411819
          9  |  -.8378704   .1123505    -7.46   0.000    -1.058936   -.6168044
         10  |  -.8472729   .1134231    -7.47   0.000    -1.070449   -.6240965
         11  |  -.8331815   .1143322    -7.29   0.000    -1.058147   -.6082162
         12  |  -.8381945   .1147372    -7.31   0.000    -1.063957   -.6124324
         13  |  -.8410064   .1184208    -7.10   0.000    -1.074017   -.6079961
             |
       _cons |   1.174301   .1137451    10.32   0.000     .9504911    1.398111
------------------------------------------------------------------------------
(858 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,132         729           0        729        729

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,132    .3135455    .5039043          0   2.363293
(858 missing values generated)
(858 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,132
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 310)        =   4.28
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8190
                                                    Adj R-squared     = 0.7467
                                                    Root MSE          = 0.2507

                        (Std. err. adjusted for 311 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0178437   .0564974     0.32   0.752    -.0933232    .1290105
             |
 scale_group |
          2  |  -.2975414    .187449    -1.59   0.113    -.6663746    .0712917
          3  |          0  (omitted)
          4  |   .1121499   .0368013     3.05   0.003      .039738    .1845617
          5  |   .1354157   .0439408     3.08   0.002     .0489558    .2218756
          6  |   .1237499   .0550308     2.25   0.025     .0154687     .232031
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .2221365   .0661639     3.36   0.001     .0919494    .3523236
         10  |   .0768744   .0645154     1.19   0.234     -.050069    .2038178
         11  |   .0910637   .0507911     1.79   0.074    -.0088752    .1910027
         12  |  -.2209139   .1619843    -1.36   0.174    -.5396416    .0978138
             |
  year_group |
          5  |  -.1360156   .0689281    -1.97   0.049    -.2716417   -.0003896
          6  |   -.319269   .0933773    -3.42   0.001    -.5030024   -.1355356
          7  |  -.3424211   .1103689    -3.10   0.002    -.5595881   -.1252541
          8  |  -.3199876   .0997696    -3.21   0.001    -.5162989   -.1236763
          9  |  -.3593477   .0816371    -4.40   0.000    -.5199806   -.1987148
         10  |  -.3505573   .0880037    -3.98   0.000    -.5237175   -.1773972
         11  |  -.3501507   .0909591    -3.85   0.000    -.5291259   -.1711755
         12  |  -.3306809   .0927732    -3.56   0.000    -.5132257    -.148136
         13  |  -.2726184   .0967916    -2.82   0.005      -.46307   -.0821668
             |
       _cons |   .6256617   .1140605     5.49   0.000     .4012309    .8500924
------------------------------------------------------------------------------
(858 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,132         729           0        729        729

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,132    .3388219     .500052          0   2.455289

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(746 missing values generated)
(746 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,244
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7734
                                                    Adj R-squared     = 0.6952
                                                    Root MSE          = 0.2265

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0042283   .0541727     0.08   0.938    -.1023592    .1108157
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.2323579    .041675    -5.58   0.000    -.3143554   -.1503604
          4  |   .0562932    .051034     1.10   0.271    -.0441187     .156705
          5  |  -.0521916   .0964215    -0.54   0.589    -.2419055    .1375224
          6  |   .0507882   .0773815     0.66   0.512    -.1014636    .2030399
          7  |   .1069208   .0919321     1.16   0.246    -.0739601    .2878017
          8  |   .1137977   .0919321     1.24   0.217    -.0670832    .2946786
          9  |  -.0269595   .0760759    -0.35   0.723    -.1766425    .1227235
         10  |   .1191481   .1235586     0.96   0.336    -.1239595    .3622556
         11  |   .1139294   .0742957     1.53   0.126    -.0322508    .2601096
         12  |   .0052595   .0274447     0.19   0.848    -.0487391    .0592582
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0809427   .1216432    -0.67   0.506    -.3202815    .1583961
          7  |  -.0054126   .1276111    -0.04   0.966    -.2564935    .2456683
          8  |   .0123898   .1080349     0.11   0.909     -.200174    .2249536
          9  |   .0819409   .1119061     0.73   0.465    -.1382397    .3021215
         10  |   .1431094   .1160091     1.23   0.218    -.0851441    .3713629
         11  |    .189491   .1249291     1.52   0.130    -.0563129     .435295
         12  |   .2101625   .1223711     1.72   0.087    -.0306084    .4509334
         13  |    .155859   .1249334     1.25   0.213    -.0899533    .4016714
             |
       _cons |   .0634444   .1257713     0.50   0.614    -.1840165    .3109054
------------------------------------------------------------------------------
(746 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,244         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,244    .2215584     .407036          0   2.773776
(746 missing values generated)
(746 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,244
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8683
                                                    Adj R-squared     = 0.8229
                                                    Root MSE          = 0.2068

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0566666   .0453351    -1.25   0.212    -.1458655    .0325323
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1568026   .0907115    -1.73   0.085    -.3352819    .0216767
          4  |    .073165   .0336484     2.17   0.030     .0069601    .1393699
          5  |   .0369751   .0355864     1.04   0.300    -.0330428    .1069931
          6  |   .0529719   .0512945     1.03   0.303    -.0479525    .1538963
          7  |   .0805428   .0549693     1.47   0.144    -.0276119    .1886974
          8  |   .0805428   .0549693     1.47   0.144    -.0276119    .1886974
          9  |   .0217794   .0391895     0.56   0.579    -.0553278    .0988866
         10  |   .1114543   .0664839     1.68   0.095     -.019356    .2422646
         11  |   .0578695   .0481154     1.20   0.230    -.0367999     .152539
         12  |  -.0227595   .0272752    -0.83   0.405    -.0764247    .0309057
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3749397   .1619089    -2.32   0.021    -.6935032   -.0563762
          7  |   -.370382    .109538    -3.38   0.001    -.5859032   -.1548607
          8  |  -.3377032   .0990593    -3.41   0.001     -.532607   -.1427994
          9  |   -.337333   .0990503    -3.41   0.001    -.5322192   -.1424468
         10  |  -.2150106   .0993143    -2.16   0.031    -.4104163   -.0196049
         11  |  -.1942375   .1032461    -1.88   0.061     -.397379    .0089041
         12  |  -.2377806    .102985    -2.31   0.022    -.4404086   -.0351527
         13  |  -.1671122   .1191995    -1.40   0.162    -.4016429    .0674185
             |
       _cons |   .5162052   .1041792     4.95   0.000     .3112276    .7211827
------------------------------------------------------------------------------
(746 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,244         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,244    .2751214    .4898105          0   3.897474
(746 missing values generated)
(746 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,244
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7952
                                                    Adj R-squared     = 0.7245
                                                    Root MSE          = 0.2088

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0032045   .0349615     0.09   0.927    -.0655839    .0719929
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .171633   .0680799     2.52   0.012     .0376826    .3055833
          4  |  -.0240215   .0304937    -0.79   0.431    -.0840194    .0359764
          5  |   -.093501    .055729    -1.68   0.094    -.2031506    .0161486
          6  |  -.0526401   .0580516    -0.91   0.365    -.1668594    .0615792
          7  |  -.1250152   .0683001    -1.83   0.068    -.2593989    .0093685
          8  |  -.1250152   .0683001    -1.83   0.068    -.2593989    .0093685
          9  |  -.0083733   .0618197    -0.14   0.892    -.1300065    .1132599
         10  |   .1812306    .086335     2.10   0.037     .0113623    .3510989
         11  |  -.0297739   .0501131    -0.59   0.553    -.1283739     .068826
         12  |   .0401003   .0279372     1.44   0.152    -.0148673     .095068
             |
  year_group |
          5  |          0  (empty)
          6  |   .0032555   .1065305     0.03   0.976    -.2063483    .2128593
          7  |   .0464244   .1121226     0.41   0.679    -.1741821     .267031
          8  |   .0005957   .0808766     0.01   0.994    -.1585329    .1597243
          9  |  -.0810093   .0790308    -1.03   0.306    -.2365062    .0744876
         10  |  -.0622001   .0792151    -0.79   0.433    -.2180596    .0936595
         11  |  -.0862216   .0824663    -1.05   0.297     -.248478    .0760348
         12  |  -.0940781   .0836612    -1.12   0.262    -.2586855    .0705294
         13  |  -.0583726   .0848874    -0.69   0.492    -.2253926    .1086474
             |
       _cons |   .3328137   .0866514     3.84   0.000     .1623229    .5033045
------------------------------------------------------------------------------
(746 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,244         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,244    .2442142    .4037773          0   3.018079
(746 missing values generated)
(746 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,244
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5924
                                                    Adj R-squared     = 0.4517
                                                    Root MSE          = 0.1978

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0644681   .0332504    -1.94   0.053      -.12989    .0009537
             |
 scale_group |
          2  |  -.2086026   .1852783    -1.13   0.261    -.5731464    .1559412
          3  |          0  (omitted)
          4  |   .0328522   .0286058     1.15   0.252     -.023431    .0891355
          5  |  -.0041263   .0519353    -0.08   0.937    -.1063114    .0980588
          6  |   .0136298   .0518528     0.26   0.793     -.088393    .1156527
          7  |  -.1337433   .0701567    -1.91   0.058      -.27178    .0042934
          8  |  -.1337433   .0701567    -1.91   0.058      -.27178    .0042934
          9  |  -.1006783   .0494741    -2.03   0.043    -.1980209   -.0033357
         10  |  -.0730659   .0627637    -1.16   0.245    -.1965565    .0504247
         11  |    .031402   .0419194     0.75   0.454    -.0510764    .1138803
         12  |  -.2264852    .168758    -1.34   0.181    -.5585247    .1055543
             |
  year_group |
          5  |          0  (empty)
          6  |   .2846363   .0703879     4.04   0.000     .1461448    .4231279
          7  |   .2464521   .1111933     2.22   0.027      .027674    .4652301
          8  |   .1351126   .0769624     1.76   0.080    -.0163145    .2865398
          9  |    .075563   .0732591     1.03   0.303    -.0685777    .2197037
         10  |   .0424938    .073465     0.58   0.563    -.1020521    .1870397
         11  |   .0739972   .0761708     0.97   0.332    -.0758725     .223867
         12  |   .0244831   .0755556     0.32   0.746    -.1241762    .1731424
         13  |   .0342716   .0793462     0.43   0.666    -.1218459    .1903891
             |
       _cons |   .1371722   .0986793     1.39   0.165    -.0569839    .3313284
------------------------------------------------------------------------------
(746 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,244         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,244    .1289084    .2803993          0   2.738542
(746 missing values generated)
(746 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,244
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7638
                                                    Adj R-squared     = 0.6823
                                                    Root MSE          = 0.2666

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0382246   .0390901     0.98   0.329    -.0386871    .1151363
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0728171   .1055204     0.69   0.491    -.1347994    .2804336
          4  |   .0121905   .0370542     0.33   0.742    -.0607153    .0850964
          5  |   .1156546   .0621624     1.86   0.064    -.0066528     .237962
          6  |  -.0862558   .0703352    -1.23   0.221    -.2246436    .0521321
          7  |   .0745275   .0779856     0.96   0.340     -.078913     .227968
          8  |   .0998488   .0779856     1.28   0.201    -.0535916    .2532893
          9  |   .0705944   .0721512     0.98   0.329    -.0713666    .2125554
         10  |  -.0644756   .0792074    -0.81   0.416    -.2203199    .0913687
         11  |  -.0581318   .0575445    -1.01   0.313    -.1713535    .0550898
         12  |   .0282468   .0498904     0.57   0.572     -.069915    .1264085
             |
  year_group |
          5  |          0  (empty)
          6  |    .480636   .2511526     1.91   0.057    -.0135186    .9747907
          7  |  -.0790983   .1524781    -0.52   0.604    -.3791062    .2209097
          8  |  -.0680884   .1343455    -0.51   0.613    -.3324196    .1962427
          9  |   .0745615   .1230242     0.61   0.545    -.1674944    .3166174
         10  |   .0033406   .1278124     0.03   0.979    -.2481364    .2548175
         11  |   -.064317    .130388    -0.49   0.622    -.3208616    .1922275
         12  |  -.0711251   .1325339    -0.54   0.592     -.331892    .1896417
         13  |  -.0787624   .1342016    -0.59   0.558    -.3428105    .1852858
             |
       _cons |   .2453649   .1328798     1.85   0.066    -.0160825    .5068123
------------------------------------------------------------------------------
(746 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,244         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,244    .2582218    .4657296          0   3.984208
(746 missing values generated)
(746 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,244
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9680
                                                    Adj R-squared     = 0.9570
                                                    Root MSE          = 0.1088

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0145252   .0225407     0.64   0.520    -.0298247    .0588751
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0101528   .0287409     0.35   0.724    -.0463963    .0667019
          4  |   .0127386   .0242132     0.53   0.599     -.034902    .0603793
          5  |  -.0375512   .0369577    -1.02   0.310    -.1102672    .0351648
          6  |   .0347958   .0647191     0.54   0.591    -.0925421    .1621337
          7  |  -.0417183   .0418112    -1.00   0.319    -.1239839    .0405473
          8  |  -.0375643   .0418112    -0.90   0.370    -.1198299    .0447014
          9  |   .0032322   .0305296     0.11   0.916    -.0568361    .0633006
         10  |  -.0583798   .0538666    -1.08   0.279     -.164365    .0476053
         11  |  -.0067015   .0312315    -0.21   0.830     -.068151     .054748
         12  |    .016765   .0183726     0.91   0.362    -.0193841     .052914
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0508409    .073235    -0.69   0.488    -.1949342    .0932524
          7  |  -.0268784   .0596867    -0.45   0.653    -.1443147     .090558
          8  |  -.0519866   .0528461    -0.98   0.326    -.1559639    .0519907
          9  |  -.0398992   .0537945    -0.74   0.459    -.1457424     .065944
         10  |  -.0726919   .0534216    -1.36   0.175    -.1778015    .0324177
         11  |  -.0655466   .0591107    -1.11   0.268    -.1818497    .0507564
         12  |  -.0639137   .0578721    -1.10   0.270    -.1777799    .0499524
         13  |  -.0615602   .0638833    -0.96   0.336    -.1872537    .0641333
             |
       _cons |   .3854545   .0594127     6.49   0.000     .2685571    .5023519
------------------------------------------------------------------------------
(746 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,244         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,244    .3164077    .5109263          0   3.436014
(746 missing values generated)
(746 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,244
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9398
                                                    Adj R-squared     = 0.9191
                                                    Root MSE          = 0.1437

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0174987   .0366766     0.48   0.634    -.0546643    .0896618
             |
 scale_group |
          2  |    .101456   .1187639     0.85   0.394    -.1322178    .3351297
          3  |          0  (omitted)
          4  |   .0553849   .0370595     1.49   0.136    -.0175315    .1283012
          5  |    .049015   .0499449     0.98   0.327    -.0492539    .1472839
          6  |   .0336112   .0505285     0.67   0.506    -.0658061    .1330285
          7  |   .0629007   .0678019     0.93   0.354    -.0705027    .1963042
          8  |   .0629007   .0678019     0.93   0.354    -.0705027    .1963042
          9  |   .0620055   .0522556     1.19   0.236    -.0408099    .1648208
         10  |   .0161805   .0462642     0.35   0.727    -.0748464    .1072075
         11  |   .0472622   .0522669     0.90   0.367    -.0555753    .1500998
         12  |   .0780192   .1104592     0.71   0.481    -.1393145     .295353
             |
  year_group |
          5  |          0  (empty)
          6  |  -.7846632   .1424796    -5.51   0.000    -1.064999   -.5043278
          7  |  -.9333775   .1503798    -6.21   0.000    -1.229257   -.6374981
          8  |  -.8905944   .1537075    -5.79   0.000    -1.193021   -.5881675
          9  |  -.8808575   .1511287    -5.83   0.000     -1.17821   -.5835047
         10  |  -.8769712   .1470337    -5.96   0.000    -1.166267   -.5876753
         11  |  -.8215863   .1504411    -5.46   0.000    -1.117586   -.5255864
         12  |  -.8395857   .1498549    -5.60   0.000    -1.134432   -.5447391
         13  |  -.8520421   .1526174    -5.58   0.000    -1.152324   -.5517601
             |
       _cons |   1.105069   .1593238     6.94   0.000     .7915915    1.418546
------------------------------------------------------------------------------
(746 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,244         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,244    .3054822    .4981317          0   3.466913
(746 missing values generated)
(746 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,244
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(17, 314)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8031
                                                    Adj R-squared     = 0.7352
                                                    Root MSE          = 0.2600

                        (Std. err. adjusted for 315 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0218698   .0455405    -0.48   0.631    -.1114728    .0677333
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3783116    .106082     3.57   0.000     .1695902     .587033
          4  |   .1453932   .0402335     3.61   0.000     .0662319    .2245546
          5  |   .1202078    .062361     1.93   0.055    -.0024905    .2429061
          6  |   .1734105   .0704676     2.46   0.014      .034762    .3120589
          7  |   .1057827   .0769295     1.38   0.170    -.0455797    .2571451
          8  |   .1103085   .0769295     1.43   0.153    -.0410539    .2616709
          9  |   .2083751   .0693092     3.01   0.003     .0720059    .3447443
         10  |    .049118   .0981509     0.50   0.617    -.1439986    .2422345
         11  |   .1887853    .063585     2.97   0.003     .0636787    .3138918
         12  |   .0710807   .0546695     1.30   0.194    -.0364842    .1786456
             |
  year_group |
          5  |          0  (empty)
          6  |   .0836877   .1088672     0.77   0.443    -.1305136     .297889
          7  |  -.0476706   .1010079    -0.47   0.637    -.2464084    .1510671
          8  |  -.1792481   .0720486    -2.49   0.013    -.3210072    -.037489
          9  |  -.1677085   .0586411    -2.86   0.005    -.2830876   -.0523294
         10  |  -.1601782   .0624291    -2.57   0.011    -.2830104    -.037346
         11  |  -.1613302   .0678056    -2.38   0.018     -.294741   -.0279194
         12  |  -.1257412    .070281    -1.79   0.075    -.2640224    .0125399
         13  |  -.1200274   .0821088    -1.46   0.145    -.2815804    .0415256
             |
       _cons |   .3677634   .0774399     4.75   0.000     .2153967    .5201301
------------------------------------------------------------------------------
(746 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,244         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,244    .3291324    .4911843          0   2.661525

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(820 missing values generated)
(820 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,170
Absorbed variable: factor_pair                      No. of categories =    293
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8047
                                                    Adj R-squared     = 0.7335
                                                    Root MSE          = 0.2008

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.024478   .0388592    -0.63   0.529    -.1009362    .0519803
             |
 scale_group |
          2  |  -.0439788   .0786611    -0.56   0.576    -.1987501    .1107925
          3  |          0  (omitted)
          4  |   .1179464     .04456     2.65   0.009     .0302714    .2056214
          5  |   .0580166   .0380245     1.53   0.128    -.0167993    .1328324
          6  |   .1616049     .06863     2.35   0.019     .0265704    .2966394
          7  |   .2533803   .0624039     4.06   0.000     .1305962    .3761645
          8  |   .2589536   .0624039     4.15   0.000     .1361695    .3817378
          9  |  -.0247875   .0628513    -0.39   0.694    -.1484519     .098877
         10  |    .081544   .0764876     1.07   0.287    -.0689509    .2320389
         11  |   .1831011   .0550105     3.33   0.001     .0748639    .2913382
         12  |  -.0589312   .0622616    -0.95   0.345    -.1814354     .063573
             |
  year_group |
          5  |   .0431746   .0058412     7.39   0.000     .0316817    .0546675
          6  |  -.0175076   .1104831    -0.16   0.874     -.234891    .1998757
          7  |   .2601933   .1168699     2.23   0.027     .0302432    .4901433
          8  |   .1754108   .0999792     1.75   0.080    -.0213054     .372127
          9  |   .1865006   .0980411     1.90   0.058    -.0064024    .3794036
         10  |   .2500588   .0998859     2.50   0.013     .0535261    .4465914
         11  |   .3100712   .1049144     2.96   0.003     .1036446    .5164977
         12  |   .3461741   .1054804     3.28   0.001     .1386337    .5537145
         13  |   .3443727   .1083982     3.18   0.002     .1310915    .5576539
             |
       _cons |  -.1120392    .102478    -1.09   0.275     -.313672    .0895936
------------------------------------------------------------------------------
(820 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,170         740           0        740        740

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,170    .2199609    .3954017          0   2.356011
(820 missing values generated)
(820 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,170
Absorbed variable: factor_pair                      No. of categories =    293
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8135
                                                    Adj R-squared     = 0.7456
                                                    Root MSE          = 0.2034

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0260917   .0453204    -0.58   0.565    -.1152629    .0630795
             |
 scale_group |
          2  |  -.0961471   .0687763    -1.40   0.163    -.2314694    .0391753
          3  |          0  (omitted)
          4  |   .0748563   .0307555     2.43   0.015     .0143426    .1353701
          5  |   .0156213   .0316898     0.49   0.622    -.0467307    .0779732
          6  |   .0409755   .0456119     0.90   0.370    -.0487692    .1307203
          7  |   .0704619   .0495332     1.42   0.156    -.0269983    .1679221
          8  |   .0704618   .0495332     1.42   0.156    -.0269984     .167922
          9  |   .0237615   .0331021     0.72   0.473    -.0413693    .0888924
         10  |   .0141456   .0419647     0.34   0.736    -.0684229    .0967142
         11  |   .0393111   .0360191     1.09   0.276    -.0315591    .1101814
         12  |  -.1253466   .0533171    -2.35   0.019    -.2302518   -.0204414
             |
  year_group |
          5  |  -.3609779   1.69e-08 -2.1e+07   0.000    -.3609779   -.3609779
          6  |   -.224664   .1304409    -1.72   0.086    -.4813159    .0319879
          7  |  -.2186715    .112681    -1.94   0.053    -.4403795    .0030365
          8  |  -.1839416   .1106211    -1.66   0.097    -.4015966    .0337134
          9  |  -.1615283   .1095665    -1.47   0.141    -.3771083    .0540517
         10  |  -.1328612   .1076704    -1.23   0.218    -.3447104     .078988
         11  |  -.0455493    .115349    -0.39   0.693    -.2725068    .1814082
         12  |  -.0782096   .1126578    -0.69   0.488     -.299872    .1434528
         13  |  -.0364265   .1268992    -0.29   0.774    -.2861099    .2132569
             |
       _cons |   .3438661   .1101133     3.12   0.002     .1272102    .5605219
------------------------------------------------------------------------------
(820 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,170         740           0        740        740

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,170    .2236045     .399773          0   2.819787
(820 missing values generated)
(820 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,170
Absorbed variable: factor_pair                      No. of categories =    293
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8349
                                                    Adj R-squared     = 0.7748
                                                    Root MSE          = 0.1641

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .070523   .0332442     2.12   0.035     .0051126    .1359334
             |
 scale_group |
          2  |  -.0869952   .0556669    -1.56   0.119    -.1965239    .0225335
          3  |          0  (omitted)
          4  |   .0597221   .0337484     1.77   0.078    -.0066804    .1261245
          5  |   .0466478   .0273245     1.71   0.089    -.0071152    .1004108
          6  |   .0561719   .0367544     1.53   0.127    -.0161451    .1284888
          7  |   .0110975   .0366238     0.30   0.762    -.0609625    .0831575
          8  |   .0110975   .0366238     0.30   0.762    -.0609625    .0831575
          9  |   .0714705   .0444238     1.61   0.109    -.0159366    .1588775
         10  |   .1545566   .0537855     2.87   0.004     .0487297    .2603835
         11  |   .0857143   .0399128     2.15   0.033     .0071829    .1642457
         12  |  -.0261956   .0406365    -0.64   0.520    -.1061508    .0537596
             |
  year_group |
          5  |   .1706418   .0707347     2.41   0.016     .0314661    .3098175
          6  |  -.1787236   .1066414    -1.68   0.095    -.3885482     .031101
          7  |  -.2312546   .0949408    -2.44   0.015    -.4180575   -.0444518
          8  |   -.148158   .0914069    -1.62   0.106    -.3280077    .0316916
          9  |  -.2183669   .0920927    -2.37   0.018    -.3995658   -.0371679
         10  |  -.2069806    .090883    -2.28   0.023    -.3857995   -.0281617
         11  |  -.2217762   .0925342    -2.40   0.017    -.4038438   -.0397086
         12  |  -.1714178    .095328    -1.80   0.073    -.3589824    .0161469
         13  |  -.1940971   .0936922    -2.07   0.039    -.3784433    -.009751
             |
       _cons |   .3557101   .0926507     3.84   0.000     .1734131     .538007
------------------------------------------------------------------------------
(820 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,170         740           0        740        740

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,170    .2294203    .3543684          0   2.639895
(820 missing values generated)
(820 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,170
Absorbed variable: factor_pair                      No. of categories =    293
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5731
                                                    Adj R-squared     = 0.4176
                                                    Root MSE          = 0.1999

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0086488   .0377904     0.23   0.819    -.0657066    .0830042
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .4637792   .0633601     7.32   0.000     .3391137    .5884446
          4  |   .0340102   .0414696     0.82   0.413    -.0475842    .1156045
          5  |   .0508226   .0373191     1.36   0.174    -.0226053    .1242506
          6  |    .059238   .0496657     1.19   0.234    -.0384828    .1569589
          7  |  -.0476416   .0457794    -1.04   0.299    -.1377159    .0424328
          8  |  -.0476416   .0457794    -1.04   0.299    -.1377159    .0424328
          9  |  -.0251419   .0503755    -0.50   0.618    -.1242593    .0739756
         10  |   .0224739   .0491599     0.46   0.648    -.0742518    .1191996
         11  |   .0490103   .0509415     0.96   0.337    -.0512208    .1492413
         12  |  -.0433001   .0429238    -1.01   0.314    -.1277557    .0411556
             |
  year_group |
          5  |   .1267017   .0909131     1.39   0.164    -.0521764    .3055798
          6  |   .1751306   .2016261     0.87   0.386    -.2215833    .5718445
          7  |   .0550395   .1789837     0.31   0.759    -.2971238    .4072027
          8  |   .0321553   .1734143     0.19   0.853    -.3090498    .3733604
          9  |   .0170845   .1772615     0.10   0.923    -.3316902    .3658593
         10  |   .0273593   .1766281     0.15   0.877    -.3201692    .3748879
         11  |   .0650902    .177578     0.37   0.714    -.2843074    .4144878
         12  |   .0185219   .1774721     0.10   0.917    -.3306672     .367711
         13  |   .0482264   .1779768     0.27   0.787    -.3019558    .3984085
             |
       _cons |   .0582138   .1779994     0.33   0.744    -.2920128    .4084404
------------------------------------------------------------------------------
(820 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,170         740           0        740        740

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,170    .1189035    .2667349          0   2.439782
(820 missing values generated)
(820 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,170
Absorbed variable: factor_pair                      No. of categories =    293
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8118
                                                    Adj R-squared     = 0.7433
                                                    Root MSE          = 0.2218

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0572727   .0419201     1.37   0.173    -.0252081    .1397535
             |
 scale_group |
          2  |    .165149    .075805     2.18   0.030     .0159973    .3143007
          3  |          0  (omitted)
          4  |   .0531666   .0538358     0.99   0.324    -.0527593    .1590924
          5  |   .0917925   .0477665     1.92   0.056    -.0021916    .1857766
          6  |  -.0356549   .0738257    -0.48   0.629    -.1809123    .1096026
          7  |   .0185076   .0587272     0.32   0.753    -.0970424    .1340577
          8  |  -.0054518   .0587272    -0.09   0.926    -.1210019    .1100982
          9  |   .1276274   .0875633     1.46   0.146    -.0446596    .2999144
         10  |  -.0247037   .0736499    -0.34   0.738    -.1696153    .1202078
         11  |  -.0237429   .0649762    -0.37   0.715    -.1515883    .1041025
         12  |   .2028522   .0638802     3.18   0.002     .0771633    .3285412
             |
  year_group |
          5  |   .0056689   .0989099     0.06   0.954    -.1889434    .2002813
          6  |    .287925     .18604     1.55   0.123    -.0781221    .6539721
          7  |   .1659551   .1747021     0.95   0.343    -.1777839     .509694
          8  |   .2070448    .159144     1.30   0.194    -.1060825    .5201721
          9  |   .1634684   .1638151     1.00   0.319    -.1588496    .4857863
         10  |   .1787546   .1614125     1.11   0.269    -.1388361    .4963453
         11  |   .0156758   .1644062     0.10   0.924    -.3078052    .3391568
         12  |   .0180868   .1651471     0.11   0.913     -.306852    .3430256
         13  |    .034709   .1661564     0.21   0.835    -.2922156    .3616336
             |
       _cons |   .0408458   .1627721     0.25   0.802    -.2794199    .3611116
------------------------------------------------------------------------------
(820 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,170         740           0        740        740

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,170    .2403091    .4339994          0   2.972591
(820 missing values generated)
(820 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,170
Absorbed variable: factor_pair                      No. of categories =    293
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9714
                                                    Adj R-squared     = 0.9610
                                                    Root MSE          = 0.0940

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0018307   .0136301    -0.13   0.893    -.0286489    .0249874
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0112681   .0250268     0.45   0.653    -.0379739    .0605102
          4  |  -.0014497   .0213177    -0.07   0.946    -.0433939    .0404945
          5  |  -.0075448   .0133859    -0.56   0.573    -.0338825    .0187928
          6  |  -.0332146   .0258468    -1.29   0.200      -.08407    .0176409
          7  |  -.0651159   .0309827    -2.10   0.036    -.1260766   -.0041552
          8  |  -.0560799   .0309827    -1.81   0.071    -.1170406    .0048808
          9  |   .0302572   .0225307     1.34   0.180    -.0140737    .0745881
         10  |  -.1041967   .0615431    -1.69   0.091    -.2252871    .0168937
         11  |   .0015092   .0259331     0.06   0.954    -.0495161    .0525345
         12  |   .0018723   .0163504     0.11   0.909    -.0302983    .0340428
             |
  year_group |
          5  |  -.1307002   .0214687    -6.09   0.000    -.1729413   -.0884591
          6  |   .0685898   .0592729     1.16   0.248     -.048034    .1852135
          7  |  -.0021164   .0486565    -0.04   0.965    -.0978515    .0936187
          8  |  -.0138484    .044832    -0.31   0.758    -.1020586    .0743617
          9  |  -.0059735   .0461637    -0.13   0.897    -.0968039     .084857
         10  |  -.0126029   .0455331    -0.28   0.782    -.1021926    .0769868
         11  |  -.0129147    .048596    -0.27   0.791    -.1085309    .0827016
         12  |  -.0004566   .0499808    -0.01   0.993    -.0987975    .0978842
         13  |  -.0047841   .0518178    -0.09   0.926    -.1067395    .0971712
             |
       _cons |   .3103531   .0483006     6.43   0.000     .2153182     .405388
------------------------------------------------------------------------------
(820 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,170         740           0        740        740

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,170    .2869837    .4661859          0   3.093503
(820 missing values generated)
(820 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,170
Absorbed variable: factor_pair                      No. of categories =    293
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9379
                                                    Adj R-squared     = 0.9154
                                                    Root MSE          = 0.1343

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0189691   .0263675    -0.72   0.472    -.0708491    .0329108
             |
 scale_group |
          2  |   .0659225   .0494637     1.33   0.184    -.0314009    .1632459
          3  |          0  (omitted)
          4  |  -.0397191   .0268282    -1.48   0.140    -.0925055    .0130673
          5  |  -.0378356   .0219375    -1.72   0.086    -.0809993    .0053281
          6  |  -.0556471   .0404658    -1.38   0.170    -.1352664    .0239722
          7  |  -.0186757   .0322406    -0.58   0.563    -.0821114      .04476
          8  |  -.0186757   .0322406    -0.58   0.563    -.0821114      .04476
          9  |   -.053479    .040512    -1.32   0.188    -.1331893    .0262313
         10  |  -.0688104   .0372246    -1.85   0.065    -.1420525    .0044317
         11  |  -.0603707   .0393771    -1.53   0.126     -.137848    .0171066
         12  |   .1056836   .0327465     3.23   0.001     .0412525    .1701148
             |
  year_group |
          5  |  -.2227964   .0247881    -8.99   0.000    -.2715688   -.1740239
          6  |  -.4598364   .0825558    -5.57   0.000    -.6222709    -.297402
          7  |  -.5746048   .0849358    -6.77   0.000    -.7417222   -.4074874
          8  |  -.5419246   .0744783    -7.28   0.000    -.6884661   -.3953832
          9  |  -.5331615   .0728832    -7.32   0.000    -.6765645   -.3897584
         10  |  -.5452927   .0724301    -7.53   0.000    -.6878042   -.4027812
         11  |  -.4952102   .0749861    -6.60   0.000    -.6427508   -.3476695
         12  |   -.502611   .0737267    -6.82   0.000    -.6476737   -.3575484
         13  |   -.473744   .0755599    -6.27   0.000    -.6224136   -.3250744
             |
       _cons |   .8189554     .07603    10.77   0.000     .6693608    .9685499
------------------------------------------------------------------------------
(820 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,170         740           0        740        740

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,170    .2818679    .4606127          0   3.189382
(820 missing values generated)
(820 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,170
Absorbed variable: factor_pair                      No. of categories =    293
                                                    F(17, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8268
                                                    Adj R-squared     = 0.7637
                                                    Root MSE          = 0.2336

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0665018   .0447717     1.49   0.138    -.0215897    .1545933
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2258669   .0789367     2.86   0.005     .0705532    .3811805
          4  |   .0876412    .051348     1.71   0.089    -.0133897    .1886721
          5  |      .0985   .0408592     2.41   0.016     .0181067    .1788933
          6  |   .0908568   .0546057     1.66   0.097    -.0165837    .1982974
          7  |   .0318536   .0520425     0.61   0.541    -.0705438     .134251
          8  |      .0289   .0520425     0.56   0.579    -.0734974    .1312974
          9  |   .1819968   .0698036     2.61   0.010     .0446531    .3193404
         10  |  -.0543188   .0687083    -0.79   0.430    -.1895074    .0808697
         11  |   .1325891   .0610631     2.17   0.031     .0124431     .252735
         12  |   .0927151   .0561036     1.65   0.099    -.0176729     .203103
             |
  year_group |
          5  |  -.0912901     .04387    -2.08   0.038    -.1776074   -.0049727
          6  |    .006558   .0696007     0.09   0.925    -.1303864    .1435023
          7  |  -.0658523   .0817981    -0.81   0.421    -.2267959    .0950913
          8  |  -.0917518   .0745156    -1.23   0.219    -.2383666    .0548629
          9  |  -.1107582   .0747065    -1.48   0.139    -.2577486    .0362323
         10  |  -.0614089   .0731863    -0.84   0.402    -.2054083    .0825905
         11  |  -.0607495   .0780069    -0.78   0.437    -.2142338    .0927348
         12  |  -.0726006   .0809186    -0.90   0.370    -.2318138    .0866126
         13  |  -.0487453   .0802423    -0.61   0.544    -.2066277    .1091372
             |
       _cons |    .274257   .0882411     3.11   0.002     .1006363    .4478777
------------------------------------------------------------------------------
(820 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,170         740           0        740        740

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,170    .3168864    .4764279          0   2.715918

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 317)        =   3.10
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7493
                                                    Adj R-squared     = 0.6551
                                                    Root MSE          = 0.2413

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0543436   .0489469    -1.11   0.268    -.1506455    .0419583
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0202643   .1233316    -0.16   0.870    -.2629162    .2223875
          4  |   .0405556   .0535632     0.76   0.450    -.0648286    .1459398
          5  |   .0019632   .0401403     0.05   0.961    -.0770119    .0809382
          6  |   .0417016   .0829455     0.50   0.615    -.1214917    .2048948
          7  |          0  (empty)
          8  |    .074892    .070455     1.06   0.289    -.0637265    .2135105
          9  |  -.0438652   .0622336    -0.70   0.481    -.1663083     .078578
         10  |          0  (empty)
         11  |   .1343897   .0600131     2.24   0.026     .0163153    .2524641
         12  |   .0451433   .0620571     0.73   0.467    -.0769525     .167239
             |
  year_group |
          5  |   .0049275   .0014599     3.38   0.001     .0020552    .0077998
          6  |  -.1913282   .1792805    -1.07   0.287    -.5440583    .1614019
          7  |    .043825   .1083322     0.40   0.686    -.1693159     .256966
          8  |   .0557322   .0957172     0.58   0.561    -.1325889    .2440534
          9  |    .052489   .0797298     0.66   0.511    -.1043774    .2093553
         10  |   .1412098   .0851113     1.66   0.098    -.0262446    .3086642
         11  |   .2199432   .0955818     2.30   0.022     .0318884    .4079979
         12  |   .2317148   .0980326     2.36   0.019     .0388381    .4245916
         13  |   .1772537   .1007582     1.76   0.080    -.0209855    .3754929
             |
       _cons |   .0673951   .0999444     0.67   0.501    -.1292432    .2640333
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,202    .2314766    .4205812          0   3.310049
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8080
                                                    Adj R-squared     = 0.7359
                                                    Root MSE          = 0.2420

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0104593   .0614642     0.17   0.865      -.11047    .1313885
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0432457   .0686876    -0.63   0.529    -.1783868    .0918954
          4  |   .0795198   .0360079     2.21   0.028      .008675    .1503645
          5  |   .0329696     .03492     0.94   0.346    -.0357346    .1016739
          6  |   .0327222   .0503308     0.65   0.516    -.0663023    .1317468
          7  |          0  (empty)
          8  |   .0030595   .0551195     0.06   0.956    -.1053867    .1115058
          9  |   .0488799   .0436971     1.12   0.264    -.0370931    .1348529
         10  |          0  (empty)
         11  |   .0659716   .0423671     1.56   0.120    -.0173847    .1493278
         12  |   .0332457   .0554254     0.60   0.549    -.0758025    .1422939
             |
  year_group |
          5  |  -.4224037          .        .       .            .           .
          6  |  -.3938002   .2000262    -1.97   0.050    -.7873469   -.0002536
          7  |  -.3595131    .158587    -2.27   0.024    -.6715291    -.047497
          8  |  -.2702006   .1517174    -1.78   0.076    -.5687008    .0282997
          9  |  -.2423119   .1495403    -1.62   0.106    -.5365289    .0519051
         10  |  -.1775853   .1469526    -1.21   0.228    -.4667109    .1115403
         11  |   -.133647   .1529023    -0.87   0.383    -.4344785    .1671846
         12  |  -.1823618   .1517122    -1.20   0.230    -.4808518    .1161283
         13  |  -.0888013   .1645972    -0.54   0.590    -.4126424    .2350397
             |
       _cons |   .3957001   .1539999     2.57   0.011      .092709    .6986911
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,202    .2573463    .4705237          0   3.826266
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 317)        =   3.07
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8097
                                                    Adj R-squared     = 0.7382
                                                    Root MSE          = 0.1928

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .016044   .0390582     0.41   0.682    -.0608022    .0928901
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0124332   .0643667     0.19   0.847    -.1142068    .1390732
          4  |   .1701321   .0488287     3.48   0.001     .0740628    .2662013
          5  |   .1478452   .0455886     3.24   0.001     .0581507    .2375397
          6  |   .1358126   .0559173     2.43   0.016     .0257967    .2458286
          7  |          0  (empty)
          8  |   .1584355   .0520652     3.04   0.003     .0559985    .2608725
          9  |    .222251   .0614074     3.62   0.000     .1014334    .3430686
         10  |          0  (empty)
         11  |   .1824331   .0519412     3.51   0.001     .0802401    .2846261
         12  |   .0078725   .0450744     0.17   0.861    -.0808103    .0965554
             |
  year_group |
          5  |   .0835197   .0472292     1.77   0.078    -.0094026     .176442
          6  |  -.2031921   .1243682    -1.63   0.103    -.4478835    .0414993
          7  |  -.2351338   .1050571    -2.24   0.026    -.4418311   -.0284366
          8  |  -.2083541     .10449    -1.99   0.047    -.4139356   -.0027725
          9  |  -.2631009   .0932783    -2.82   0.005    -.4466238   -.0795781
         10  |  -.2477476   .0929798    -2.66   0.008    -.4306832    -.064812
         11  |  -.2357153   .0952076    -2.48   0.014    -.4230339   -.0483966
         12  |  -.2071254     .09762    -2.12   0.035    -.3991904   -.0150604
         13  |    -.21586   .0982112    -2.20   0.029    -.4090882   -.0226318
             |
       _cons |   .3359007   .1034265     3.25   0.001     .1324117    .5393898
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,202     .250592    .3973289          0   2.796603
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 317)        =  38.79
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5674
                                                    Adj R-squared     = 0.4048
                                                    Root MSE          = 0.2039

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0292569   .0312381     0.94   0.350    -.0322033     .090717
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.057025   .0765916    -0.74   0.457    -.2077171     .093667
          4  |   .1564879   .0333511     4.69   0.000     .0908703    .2221054
          5  |   .1632554   .0227349     7.18   0.000      .118525    .2079858
          6  |   .1684713   .0381586     4.42   0.000     .0933952    .2435475
          7  |          0  (empty)
          8  |    .130682   .0296537     4.41   0.000      .072339     .189025
          9  |    .100461   .0507981     1.98   0.049      .000517     .200405
         10  |          0  (empty)
         11  |   .1861741    .044052     4.23   0.000     .0995028    .2728454
         12  |  -.0253276    .042817    -0.59   0.555    -.1095689    .0589138
             |
  year_group |
          5  |   .0223579    .084643     0.26   0.792    -.1441752     .188891
          6  |   .2632711   .1358731     1.94   0.054    -.0040559    .5305982
          7  |   .1703129   .1639666     1.04   0.300    -.1522873    .4929132
          8  |   .0501226   .1480667     0.34   0.735     -.241195    .3414402
          9  |   .0601537   .1454695     0.41   0.680     -.226054    .3463613
         10  |   .0658099   .1484741     0.44   0.658    -.2263094    .3579291
         11  |   .0966477   .1480582     0.65   0.514    -.1946532    .3879485
         12  |   .0559659   .1476762     0.38   0.705    -.2345834    .3465153
         13  |   .0462466    .148073     0.31   0.755    -.2450834    .3375767
             |
       _cons |  -.0668256   .1495427    -0.45   0.655    -.3610474    .2273961
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,202    .1296888    .2775635          0   2.488484
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 317)        =  30.60
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7998
                                                    Adj R-squared     = 0.7246
                                                    Root MSE          = 0.2413

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0178823   .0393069     0.45   0.649    -.0594531    .0952177
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .118542   .1032173     1.15   0.252    -.0845356    .3216195
          4  |  -.0279009   .0408187    -0.68   0.495    -.1082106    .0524089
          5  |    .025312   .0276623     0.92   0.361    -.0291129    .0797369
          6  |  -.1231682    .062246    -1.98   0.049    -.2456356   -.0007008
          7  |          0  (empty)
          8  |  -.0596149   .0488058    -1.22   0.223    -.1556391    .0364092
          9  |  -.0174943   .0756392    -0.23   0.817    -.1663126    .1313241
         10  |          0  (empty)
         11  |  -.1025418   .0454491    -2.26   0.025    -.1919618   -.0131219
         12  |   .0431321   .0554563     0.78   0.437    -.0659768     .152241
             |
  year_group |
          5  |   .1229712   .0661715     1.86   0.064    -.0072197     .253162
          6  |   .3797531   .1815046     2.09   0.037     .0226474    .7368589
          7  |  -.1529794   .1340098    -1.14   0.255    -.4166404    .1106816
          8  |   .0597845   .1099978     0.54   0.587    -.1566335    .2762025
          9  |    .109566   .0976183     1.12   0.263    -.0824956    .3016276
         10  |   .0969317   .1004444     0.97   0.335    -.1006901    .2945535
         11  |   -.039879   .1031163    -0.39   0.699    -.2427577    .1629998
         12  |  -.0669434   .1041707    -0.64   0.521    -.2718967    .1380099
         13  |  -.0618983   .1048651    -0.59   0.555    -.2682178    .1444212
             |
       _cons |   .2454156    .104519     2.35   0.019     .0397771    .4510542
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,202    .2602921    .4769631          0   3.668304
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 317)        =   3.51
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9686
                                                    Adj R-squared     = 0.9568
                                                    Root MSE          = 0.1045

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0010404   .0240669    -0.04   0.966    -.0483915    .0463107
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.009849   .0214882    -0.46   0.647    -.0521265    .0324284
          4  |   .0264099   .0217943     1.21   0.226    -.0164699    .0692898
          5  |   .0134896   .0135058     1.00   0.319    -.0130828     .040062
          6  |   .0536474   .0493151     1.09   0.277    -.0433788    .1506736
          7  |          0  (empty)
          8  |  -.0061435   .0292055    -0.21   0.834    -.0636045    .0513175
          9  |   .0314102   .0261547     1.20   0.231    -.0200486    .0828689
         10  |          0  (empty)
         11  |   .0353002   .0226597     1.56   0.120    -.0092822    .0798826
         12  |  -.0308664   .0186069    -1.66   0.098     -.067475    .0057421
             |
  year_group |
          5  |  -.0839078   .0260148    -3.23   0.001    -.1350912   -.0327244
          6  |    .039843    .072027     0.55   0.581    -.1018684    .1815543
          7  |  -.0268123   .0468998    -0.57   0.568    -.1190865    .0654619
          8  |  -.0223893   .0449102    -0.50   0.618     -.110749    .0659705
          9  |  -.0297207   .0430366    -0.69   0.490    -.1143942    .0549529
         10  |  -.0211809   .0435798    -0.49   0.627     -.106923    .0645612
         11  |   .0103906   .0485639     0.21   0.831    -.0851577    .1059388
         12  |    .013362   .0477348     0.28   0.780     -.080555    .1072791
         13  |  -.0104853   .0498783    -0.21   0.834    -.1086197    .0876491
             |
       _cons |    .310506   .0505038     6.15   0.000      .211141     .409871
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,202    .3021432    .4948914          0   3.153715
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 317)        =   4.27
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9521
                                                    Adj R-squared     = 0.9341
                                                    Root MSE          = 0.1252

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.039873   .0273699    -1.46   0.146    -.0937227    .0139766
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1998187   .1251864     1.60   0.111    -.0464825      .44612
          4  |   .0045109   .0215899     0.21   0.835    -.0379666    .0469885
          5  |   .0010468   .0154908     0.07   0.946     -.029431    .0315246
          6  |  -.0006853   .0307623    -0.02   0.982    -.0612093    .0598388
          7  |          0  (empty)
          8  |   .0007605   .0256434     0.03   0.976    -.0496923    .0512132
          9  |   .0305759   .0318973     0.96   0.339    -.0321813    .0933331
         10  |          0  (empty)
         11  |  -.0133159   .0342148    -0.39   0.697    -.0806326    .0540009
         12  |   .0686406   .0528189     1.30   0.195    -.0352792    .1725605
             |
  year_group |
          5  |  -.1576371   .0258809    -6.09   0.000    -.2085571   -.1067172
          6  |  -.5402224   .1092532    -4.94   0.000    -.7551754   -.3252694
          7  |  -.5243256   .0981528    -5.34   0.000    -.7174387   -.3312124
          8  |  -.5377498    .097557    -5.51   0.000    -.7296907   -.3458088
          9  |  -.5323926    .097547    -5.46   0.000     -.724314   -.3404711
         10  |  -.5336716   .0963026    -5.54   0.000    -.7231446   -.3441986
         11  |  -.4943794   .0978333    -5.05   0.000    -.6868639   -.3018948
         12  |  -.5227489   .0984742    -5.31   0.000    -.7164945   -.3290034
         13  |   -.540539   .0999608    -5.41   0.000    -.7372094   -.3438686
             |
       _cons |   .8316958    .098139     8.47   0.000     .6386097    1.024782
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,202    .3013561    .4896075          0   3.353062
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    311
                                                    F(18, 317)        =   1.78
                                                    Prob > F          = 0.0264
                                                    R-squared         = 0.9311
                                                    Adj R-squared     = 0.9052
                                                    Root MSE          = 0.1404

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0047264   .0236459     0.20   0.842    -.0417963    .0512491
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0468763    .050601     0.93   0.355    -.0526799    .1464326
          4  |  -.0228576   .0207311    -1.10   0.271    -.0636456    .0179303
          5  |   .0161658   .0161447     1.00   0.317    -.0155986    .0479302
          6  |   -.012138    .038876    -0.31   0.755    -.0886255    .0643495
          7  |          0  (empty)
          8  |   .0030559   .0262981     0.12   0.908    -.0486849    .0547967
          9  |   .0100963   .0395597     0.26   0.799    -.0677365    .0879291
         10  |          0  (empty)
         11  |   -.006913   .0345416    -0.20   0.842    -.0748729    .0610468
         12  |   .0654134   .0222041     2.95   0.003     .0217273    .1090996
             |
  year_group |
          5  |  -.0987519   .0718337    -1.37   0.170    -.2400829    .0425791
          6  |  -.1239226   .0906015    -1.37   0.172    -.3021789    .0543336
          7  |  -.3014444   .0895791    -3.37   0.001    -.4776892   -.1251996
          8  |  -.1884794   .0808761    -2.33   0.020    -.3476012   -.0293575
          9  |  -.1962635   .0787973    -2.49   0.013    -.3512953   -.0412316
         10  |  -.1599892   .0796995    -2.01   0.046     -.316796   -.0031824
         11  |   -.173705   .0804348    -2.16   0.032    -.3319585   -.0154516
         12  |   -.181477    .080864    -2.24   0.026    -.3405749   -.0223791
         13  |  -.1997161   .0815082    -2.45   0.015    -.3600814   -.0393507
             |
       _cons |   .4592429   .0822952     5.58   0.000     .2973292    .6211567
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,202    .2860092    .4590186          0   2.015193

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(16, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7785
                                                    Adj R-squared     = 0.7042
                                                    Root MSE          = 0.2141

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0471189   .0511062    -0.92   0.357    -.1476495    .0534118
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1064817    .066937    -1.59   0.113    -.2381529    .0251894
          4  |   .0622875   .0392458     1.59   0.113    -.0149125    .1394875
          5  |    .001934   .0794893     0.02   0.981    -.1544288    .1582969
          6  |   .0232068   .0789649     0.29   0.769    -.1321245    .1785381
          7  |   .1307717   .0775542     1.69   0.093    -.0217845    .2833279
          8  |   .1361586   .0775542     1.76   0.080    -.0163977    .2887148
          9  |   .0099831   .0688373     0.15   0.885    -.1254262    .1453925
         10  |   .1332746   .0916489     1.45   0.147    -.0470072    .3135564
         11  |   .1791909   .0696011     2.57   0.010     .0422791    .3161028
         12  |  -.0108758   .0366193    -0.30   0.767    -.0829094    .0611578
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |  -.2457705   .0943071    -2.61   0.010    -.4312813   -.0602597
          7  |  -.1546454   .0738635    -2.09   0.037    -.2999417   -.0093491
          8  |  -.1732008   .0622406    -2.78   0.006    -.2956338   -.0507677
          9  |  -.1025943   .0580317    -1.77   0.078    -.2167481    .0115595
         10  |  -.0554536   .0445708    -1.24   0.214    -.1431285    .0322213
         11  |  -.0367794   .0394633    -0.93   0.352    -.1144073    .0408485
         12  |  -.0030219   .0357028    -0.08   0.933    -.0732526    .0672088
         13  |          0  (omitted)
             |
       _cons |   .2667631   .0464297     5.75   0.000     .1754315    .3580947
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,282    .2212962     .397915          0    2.98246
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(16, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8323
                                                    Adj R-squared     = 0.7760
                                                    Root MSE          = 0.1996

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0456706   .0498248    -0.92   0.360    -.1436805    .0523393
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0151264   .0546353    -0.28   0.782    -.1225991    .0923464
          4  |   .0879299   .0341126     2.58   0.010     .0208274    .1550325
          5  |   .0458212   .0455047     1.01   0.315    -.0436907    .1353331
          6  |   .0467448   .0524057     0.89   0.373    -.0563421    .1498317
          7  |   .0375706   .0524545     0.72   0.474    -.0656122    .1407535
          8  |   .0375706   .0524545     0.72   0.474    -.0656122    .1407535
          9  |   .0548892   .0405121     1.35   0.176    -.0248017    .1345802
         10  |   .0872744   .0507467     1.72   0.086     -.012549    .1870978
         11  |   .0649266   .0445365     1.46   0.146    -.0226807    .1525339
         12  |   -.002168   .0384985    -0.06   0.955    -.0778981    .0735621
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |  -.1394999   .1071515    -1.30   0.194    -.3502768     .071277
          7  |   -.171917   .0628188    -2.74   0.007    -.2954874   -.0483466
          8  |  -.1037026   .0602184    -1.72   0.086    -.2221578    .0147526
          9  |   -.082517   .0579717    -1.42   0.156    -.1965526    .0315187
         10  |  -.0247795   .0563071    -0.44   0.660    -.1355407    .0859817
         11  |   .0191128    .062796     0.30   0.761    -.1044127    .1426383
         12  |  -.0403298   .0519002    -0.78   0.438    -.1424223    .0617627
         13  |          0  (omitted)
             |
       _cons |   .2658164   .0536963     4.95   0.000     .1601909     .371442
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,282    .2442409    .4230481          0   2.607321
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(16, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7947
                                                    Adj R-squared     = 0.7258
                                                    Root MSE          = 0.1899

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0363635   .0371682     0.98   0.329    -.0367498    .1094768
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0822407    .088652     0.93   0.354    -.0921459    .2566273
          4  |  -.0251413   .0235688    -1.07   0.287    -.0715033    .0212207
          5  |  -.0665808   .0431248    -1.54   0.124    -.1514113    .0182497
          6  |  -.0660071   .0517058    -1.28   0.203    -.1677172     .035703
          7  |  -.0795864   .0455544    -1.75   0.082    -.1691961    .0100234
          8  |  -.0795864   .0455544    -1.75   0.082    -.1691961    .0100234
          9  |  -.0288731   .0462472    -0.62   0.533    -.1198457    .0620994
         10  |   .0450935   .0469453     0.96   0.337    -.0472522    .1374392
         11  |  -.0359925   .0367351    -0.98   0.328    -.1082539    .0362689
         12  |   .0194093   .0421439     0.46   0.645    -.0634917    .1023102
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |    .002119   .1590733     0.01   0.989    -.3107928    .3150308
          7  |  -.0002662   .0573746    -0.00   0.996    -.1131272    .1125948
          8  |  -.0122304   .0416466    -0.29   0.769    -.0941531    .0696924
          9  |  -.0315643    .034332    -0.92   0.359    -.0990985    .0359699
         10  |  -.0208069   .0296638    -0.70   0.484    -.0791584    .0375447
         11  |  -.0459482   .0213649    -2.15   0.032    -.0879748   -.0039216
         12  |  -.0003908   .0216773    -0.02   0.986     -.043032    .0422503
         13  |          0  (omitted)
             |
       _cons |   .2579517   .0306464     8.42   0.000     .1976673    .3182361
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,282    .2422031    .3791849          0   2.699108
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(16, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5823
                                                    Adj R-squared     = 0.4421
                                                    Root MSE          = 0.2004

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0189854   .0376737    -0.50   0.615    -.0930931    .0551224
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1131891   .1470457     0.77   0.442    -.1760633    .4024414
          4  |   .0230279    .023038     1.00   0.318      -.02229    .0683459
          5  |   .0111857   .0374429     0.30   0.765    -.0624679    .0848393
          6  |   .0427909   .0477694     0.90   0.371    -.0511759    .1367577
          7  |  -.0640729   .0434479    -1.47   0.141    -.1495389    .0213931
          8  |  -.0640729   .0434479    -1.47   0.141    -.1495389    .0213931
          9  |  -.0367246   .0386015    -0.95   0.342    -.1126572    .0392081
         10  |   -.070176   .0458819    -1.53   0.127      -.16043     .020078
         11  |    .085682   .0663427     1.29   0.197    -.0448203    .2161842
         12  |  -.0682304   .0308208    -2.21   0.028    -.1288578    -.007603
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |   .1639153   .0523707     3.13   0.002     .0608974    .2669333
          7  |   .1480166   .0562696     2.63   0.009      .037329    .2587041
          8  |    .066955   .0394075     1.70   0.090    -.0105633    .1444732
          9  |    .044256    .026996     1.64   0.102    -.0088476    .0973596
         10  |   .0487237   .0263885     1.85   0.066    -.0031849    .1006323
         11  |   .0465162   .0232446     2.00   0.046     .0007919    .0922406
         12  |   .0281216   .0240494     1.17   0.243    -.0191857    .0754289
         13  |          0  (omitted)
             |
       _cons |   .0830405   .0326669     2.54   0.011     .0187817    .1472994
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,282    .1318089    .2844789          0   2.361127
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(16, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7671
                                                    Adj R-squared     = 0.6889
                                                    Root MSE          = 0.2706

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0249332   .0508179     0.49   0.624    -.0750304    .1248967
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0389038   .0726825     0.54   0.593    -.1040693    .1818769
          4  |  -.0357313   .0348691    -1.02   0.306     -.104322    .0328595
          5  |  -.0024258   .0613581    -0.04   0.968    -.1231227    .1182711
          6  |  -.1175069   .0671812    -1.75   0.081    -.2496585    .0146447
          7  |  -.0081827   .0689598    -0.12   0.906    -.1438328    .1274675
          8  |   .0271947   .0689598     0.39   0.694    -.1084555    .1628448
          9  |   .0363058   .0927902     0.39   0.696    -.1462211    .2188327
         10  |  -.1662467   .0748075    -2.22   0.027    -.3133999   -.0190935
         11  |  -.1211879   .0579163    -2.09   0.037    -.2351145   -.0072613
         12  |   .0191366   .0565015     0.34   0.735    -.0920071    .1302802
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |   .5685613   .2965167     1.92   0.056    -.0147144    1.151837
          7  |   .0379755   .1080524     0.35   0.725    -.1745735    .2505244
          8  |   .1548687    .067271     2.30   0.022     .0225405     .287197
          9  |   .1396828   .0519018     2.69   0.007     .0375872    .2417784
         10  |   .0786386   .0417316     1.88   0.060    -.0034513    .1607285
         11  |  -.0276206   .0376632    -0.73   0.464    -.1017075    .0464664
         12  |   .0009602   .0408143     0.02   0.981    -.0793252    .0812456
         13  |          0  (omitted)
             |
       _cons |   .2246843   .0434605     5.17   0.000     .1391935     .310175
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,282    .2652741    .4787102          0   3.918654
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(16, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9707
                                                    Adj R-squared     = 0.9609
                                                    Root MSE          = 0.0967

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .007658   .0199325     0.38   0.701    -.0315511    .0468672
             |
 scale_group |
          2  |  -.0371172   .0148214    -2.50   0.013    -.0662722   -.0079622
          3  |          0  (omitted)
          4  |    .008558   .0178733     0.48   0.632    -.0266004    .0437165
          5  |  -.0173547   .0266724    -0.65   0.516    -.0698217    .0351122
          6  |   .0556043   .0651871     0.85   0.394    -.0726247    .1838333
          7  |  -.0180138   .0268312    -0.67   0.502    -.0707932    .0347656
          8  |  -.0105031   .0268312    -0.39   0.696    -.0632825    .0422763
          9  |   .0136041   .0260231     0.52   0.601    -.0375858     .064794
         10  |  -.0460341   .0383248    -1.20   0.231    -.1214225    .0293543
         11  |   .0088501   .0238343     0.37   0.711    -.0380342    .0557344
         12  |  -.0157854   .0103118    -1.53   0.127    -.0360696    .0044988
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |   .1000286   .0818466     1.22   0.223    -.0609712    .2610283
          7  |   .0286204   .0304269     0.94   0.348    -.0312321    .0884729
          8  |   .0209797   .0235347     0.89   0.373    -.0253153    .0672746
          9  |   .0156768   .0256649     0.61   0.542    -.0348085    .0661621
         10  |   .0024156   .0202239     0.12   0.905    -.0373666    .0421979
         11  |   .0048461   .0234301     0.21   0.836    -.0412429    .0509352
         12  |   .0205155   .0210983     0.97   0.332    -.0209868    .0620179
         13  |          0  (omitted)
             |
       _cons |   .3003934   .0241735    12.43   0.000     .2528419    .3479448
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,282    .2967696    .4791667          0   3.037905
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(16, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9480
                                                    Adj R-squared     = 0.9306
                                                    Root MSE          = 0.1286

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0253991   .0282076    -0.90   0.369    -.0808859    .0300878
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0214664   .1085791    -0.20   0.843    -.2350514    .1921186
          4  |   .0411508   .0185929     2.21   0.028     .0045768    .0777247
          5  |   .0414608   .0261419     1.59   0.114    -.0099628    .0928843
          6  |   .0540661   .0286432     1.89   0.060    -.0022777    .1104099
          7  |   .0245335   .0299056     0.82   0.413    -.0342936    .0833606
          8  |   .0245335   .0299056     0.82   0.413    -.0342936    .0833606
          9  |   .0272125   .0311618     0.87   0.383    -.0340855    .0885106
         10  |   .0196779   .0292238     0.67   0.501    -.0378081    .0771639
         11  |   .0588973   .0397049     1.48   0.139    -.0192058    .1370004
         12  |   .0312054   .0343508     0.91   0.364    -.0363659    .0987766
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |   .2761637   .1747416     1.58   0.115    -.0675692    .6198966
          7  |  -.0619672   .0378048    -1.64   0.102    -.1363328    .0123984
          8  |  -.0458111   .0338878    -1.35   0.177    -.1124716    .0208493
          9  |  -.0367711    .024041    -1.53   0.127     -.084062    .0105198
         10  |  -.0339384   .0213874    -1.59   0.113    -.0760094    .0081326
         11  |   .0072124   .0230147     0.31   0.754    -.0380597    .0524845
         12  |   -.009477   .0214295    -0.44   0.659    -.0516308    .0326768
         13  |          0  (omitted)
             |
       _cons |   .3053281   .0278265    10.97   0.000     .2505908    .3600653
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,282    .2999648    .4850358          0   3.232154
(708 missing values generated)
(708 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity
note: 13.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,282
Absorbed variable: factor_pair                      No. of categories =    305
                                                    F(16, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8026
                                                    Adj R-squared     = 0.7363
                                                    Root MSE          = 0.2618

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0559545   .0406944    -1.37   0.170    -.1360041    .0240951
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .230164   .1202888     1.91   0.057    -.0064552    .4667831
          4  |   .0999365   .0401019     2.49   0.013     .0210525    .1788206
          5  |   .1003061   .0611851     1.64   0.102    -.0200507    .2206629
          6  |   .1031507    .074574     1.38   0.168    -.0435433    .2498447
          7  |   -.028844   .0899539    -0.32   0.749    -.2057916    .1481036
          8  |  -.0342446   .0899539    -0.38   0.704    -.2111922     .142703
          9  |   .2353387   .0742137     3.17   0.002     .0893535    .3813239
         10  |  -.0712994   .0844186    -0.84   0.399    -.2373586    .0947598
         11  |   .0661096   .0591806     1.12   0.265     -.050304    .1825232
         12  |    .071334   .0456018     1.56   0.119    -.0183688    .1610369
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (empty)
          6  |    .257398   .1739096     1.48   0.140    -.0846982    .5994943
          7  |   .0509613   .0942344     0.54   0.589    -.1344064    .2363289
          8  |   .0125704   .0552106     0.23   0.820    -.0960339    .1211747
          9  |  -.0622071   .0386393    -1.61   0.108    -.1382141    .0137999
         10  |  -.0497489    .041069    -1.21   0.227    -.1305353    .0310376
         11  |  -.0565496   .0355367    -1.59   0.112    -.1264536    .0133544
         12  |  -.0206819   .0311943    -0.66   0.508    -.0820439    .0406801
         13  |          0  (omitted)
             |
       _cons |   .3096438   .0448773     6.90   0.000      .221366    .3979215
------------------------------------------------------------------------------
(708 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,282         797           0        797        797

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,282    .3397454    .5063453          0   2.930988

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(756 missing values generated)
(756 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,234
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7526
                                                    Adj R-squared     = 0.6669
                                                    Root MSE          = 0.2335

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0271811   .0600205     0.45   0.651    -.0909134    .1452757
             |
 scale_group |
          2  |   .0319424   .0430797     0.74   0.459      -.05282    .1167047
          3  |          0  (empty)
          4  |   .0915214   .0580537     1.58   0.116    -.0227035    .2057464
          5  |     .01941   .0285874     0.68   0.498    -.0368378    .0756577
          6  |   .1081629   .0617451     1.75   0.081     -.013325    .2296508
          7  |   .0783324   .0689537     1.14   0.257    -.0573388    .2140037
          8  |   .0865865   .0689537     1.26   0.210    -.0490848    .2222578
          9  |   .1009591   .0568994     1.77   0.077    -.0109946    .2129128
         10  |          0  (empty)
         11  |   .1383533   .0580761     2.38   0.018     .0240844    .2526222
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0017419   .1114472    -0.02   0.988    -.2210224    .2175386
          7  |   .0188449   .1310053     0.14   0.886    -.2389174    .2766072
          8  |  -.0237561   .1114472    -0.21   0.831    -.2430365    .1955244
          9  |   .0657287   .1242346     0.53   0.597    -.1787119    .3101693
         10  |   .1055144   .1206755     0.87   0.383    -.1319234    .3429522
         11  |    .131867   .1307506     1.01   0.314    -.1253943    .3891283
         12  |   .1411908   .1260739     1.12   0.264    -.1068686    .3892502
         13  |     .06169   .1271554     0.49   0.628    -.1884974    .3118774
             |
       _cons |   .0558135   .1242551     0.45   0.654    -.1886674    .3002944
------------------------------------------------------------------------------
(756 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,234         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,234    .2139791    .3921034          0   3.362755
(756 missing values generated)
(756 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,234
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8230
                                                    Adj R-squared     = 0.7618
                                                    Root MSE          = 0.2125

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0119924   .0516864     0.23   0.817    -.0897042    .1136891
             |
 scale_group |
          2  |   .0379841   .0201143     1.89   0.060    -.0015922    .0775605
          3  |          0  (empty)
          4  |   .0822733   .0335592     2.45   0.015     .0162431    .1483035
          5  |   .0329135    .029621     1.11   0.267     -.025368    .0911951
          6  |  -.0456545   .0456227    -1.00   0.318    -.1354204    .0441114
          7  |   .0808464   .0464766     1.74   0.083    -.0105997    .1722926
          8  |   .0808464   .0464766     1.74   0.083    -.0105997    .1722926
          9  |   .0256298    .032905     0.78   0.437    -.0391131    .0903727
         10  |          0  (empty)
         11  |   .0232128   .0439828     0.53   0.598    -.0633265    .1097521
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2108364   .1760224    -1.20   0.232    -.5571732    .1355004
          7  |  -.2806991   .1756326    -1.60   0.111     -.626269    .0648707
          8  |  -.1952318   .1760224    -1.11   0.268    -.5415686     .151105
          9  |  -.1581725   .1787893    -0.88   0.377    -.5099533    .1936084
         10  |  -.0953655   .1779947    -0.54   0.592    -.4455829     .254852
         11  |   .0171056   .1841015     0.09   0.926    -.3451273    .3793386
         12  |  -.1033418   .1816897    -0.57   0.570    -.4608293    .2541457
         13  |  -.0218474    .190134    -0.11   0.909    -.3959497     .352255
             |
       _cons |   .3044553   .1822699     1.67   0.096     -.054174    .6630845
------------------------------------------------------------------------------
(756 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,234         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,234    .2410001    .4264447          0     3.2842
(756 missing values generated)
(756 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,234
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7625
                                                    Adj R-squared     = 0.6803
                                                    Root MSE          = 0.1982

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0608537   .0399465     1.52   0.129    -.0177439    .1394513
             |
 scale_group |
          2  |   .0181435   .0540315     0.34   0.737    -.0881674    .1244544
          3  |          0  (empty)
          4  |   .1430865   .0454824     3.15   0.002     .0535965    .2325765
          5  |   .1370174   .0384028     3.57   0.000     .0614572    .2125776
          6  |   .1171602   .0534488     2.19   0.029     .0119958    .2223247
          7  |    .066197   .0558533     1.19   0.237    -.0436983    .1760923
          8  |    .066197   .0558533     1.19   0.237    -.0436983    .1760923
          9  |   .1000604   .0629863     1.59   0.113    -.0238697    .2239904
         10  |          0  (empty)
         11  |   .1484561    .048947     3.03   0.003     .0521494    .2447628
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3576728   .1966884    -1.82   0.070    -.7446713    .0293258
          7  |  -.2956201   .2025333    -1.46   0.145    -.6941189    .1028788
          8  |  -.3393964   .1966884    -1.73   0.085    -.7263949    .0476022
          9  |  -.3975477   .1978925    -2.01   0.045    -.7869154     -.00818
         10  |  -.3893098    .198598    -1.96   0.051    -.7800657    .0014461
         11  |  -.3871838   .1987673    -1.95   0.052    -.7782727    .0039051
         12  |  -.3502998   .2003683    -1.75   0.081    -.7445388    .0439392
         13  |  -.3514368   .1992266    -1.76   0.079    -.7434295     .040556
             |
       _cons |   .4569902   .1997498     2.29   0.023     .0639681    .8500123
------------------------------------------------------------------------------
(756 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,234         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,234    .2288821    .3571451          0   2.524739
(756 missing values generated)
(756 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,234
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5439
                                                    Adj R-squared     = 0.3861
                                                    Root MSE          = 0.1928

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0303203   .0296884    -1.02   0.308    -.0887343    .0280937
             |
 scale_group |
          2  |  -.0178342   .0337287    -0.53   0.597    -.0841978    .0485295
          3  |          0  (empty)
          4  |   .0965868   .0342551     2.82   0.005     .0291874    .1639862
          5  |   .0671805   .0220593     3.05   0.003     .0237773    .1105837
          6  |   .0767285   .0397774     1.93   0.055    -.0015364    .1549934
          7  |  -.0644595   .0509746    -1.26   0.207    -.1647557    .0358368
          8  |  -.0644595   .0509746    -1.26   0.207    -.1647557    .0358368
          9  |   .0269542    .039303     0.69   0.493    -.0503773    .1042857
         10  |          0  (empty)
         11  |   .0869476    .036278     2.40   0.017      .015568    .1583272
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |    .372844   .2893593     1.29   0.199    -.1964912    .9421792
          7  |   .2603679   .2962824     0.88   0.380    -.3225891     .843325
          8  |   .1836656   .2893593     0.63   0.526    -.3856696    .7530008
          9  |   .1161692   .2896151     0.40   0.689    -.4536694    .6860078
         10  |   .1441875   .2894508     0.50   0.619    -.4253279    .7137028
         11  |   .1684096   .2895197     0.58   0.561    -.4012412    .7380605
         12  |   .1209954   .2895874     0.42   0.676    -.4487888    .6907795
         13  |   .1339891   .2900266     0.46   0.644     -.436659    .7046373
             |
       _cons |  -.0801259   .2881162    -0.28   0.781    -.6470152    .4867634
------------------------------------------------------------------------------
(756 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,234         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,234      .10521    .2412606          0   2.016418
(756 missing values generated)
(756 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,234
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8186
                                                    Adj R-squared     = 0.7558
                                                    Root MSE          = 0.2270

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0059405   .0417754     0.14   0.887    -.0762556    .0881367
             |
 scale_group |
          2  |  -.0298756   .0391664    -0.76   0.446    -.1069382    .0471871
          3  |          0  (empty)
          4  |  -.0312449   .0444832    -0.70   0.483    -.1187688    .0562789
          5  |   .0134237   .0255696     0.52   0.600    -.0368863    .0637338
          6  |  -.0444919   .0575627    -0.77   0.440    -.1577506    .0687669
          7  |  -.0238194   .0460194    -0.52   0.605     -.114366    .0667272
          8  |  -.0425688   .0460194    -0.93   0.356    -.1331154    .0479778
          9  |   .0404901   .0874441     0.46   0.644    -.1315624    .2125427
         10  |          0  (empty)
         11  |  -.0744407   .0525302    -1.42   0.157    -.1777977    .0289164
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .0884869   .3500029     0.25   0.801    -.6001691    .7771429
          7  |  -.1452803   .3587276    -0.40   0.686    -.8511028    .5605422
          8  |  -.1006293   .3500029    -0.29   0.774    -.7892853    .5880266
          9  |   -.114041   .3535114    -0.32   0.747    -.8096002    .5815182
         10  |  -.1338661   .3529646    -0.38   0.705    -.8283494    .5606173
         11  |  -.3042666     .35429    -0.86   0.391    -1.001358    .3928245
         12  |  -.2711669   .3543052    -0.77   0.445    -.9682879    .4259541
         13  |  -.3261961   .3547218    -0.92   0.358    -1.024137    .3717445
             |
       _cons |    .480063    .350746     1.37   0.172     -.210055    1.170181
------------------------------------------------------------------------------
(756 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,234         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,234    .2470318    .4497047          0   3.337424
(756 missing values generated)
(756 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,234
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9679
                                                    Adj R-squared     = 0.9569
                                                    Root MSE          = 0.1023

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0304929   .0227554     1.34   0.181    -.0142801    .0752658
             |
 scale_group |
          2  |  -.0195841   .0186695    -1.05   0.295    -.0563178    .0171495
          3  |          0  (empty)
          4  |   .0448232   .0230171     1.95   0.052    -.0004645     .090111
          5  |   .0114906   .0124615     0.92   0.357    -.0130284    .0360095
          6  |   .0852418   .0493915     1.73   0.085    -.0119396    .1824233
          7  |   -.009612   .0266121    -0.36   0.718    -.0619732    .0427493
          8  |    .001916   .0266121     0.07   0.943    -.0504453    .0542772
          9  |   .0278528   .0176095     1.58   0.115    -.0067951    .0625007
         10  |          0  (empty)
         11  |   .0386518   .0206159     1.87   0.062    -.0019115     .079215
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .0615823   .0575087     1.07   0.285    -.0515702    .1747348
          7  |   .0600358   .0594061     1.01   0.313      -.05685    .1769217
          8  |   .0591395   .0575087     1.03   0.305     -.054013     .172292
          9  |   .0680288   .0599302     1.14   0.257    -.0498881    .1859457
         10  |   .0421605   .0584826     0.72   0.472    -.0729083    .1572292
         11  |   .0670596   .0638902     1.05   0.295     -.058649    .1927682
         12  |   .0685213   .0622999     1.10   0.272    -.0540583    .1911009
         13  |   .0677764   .0645416     1.05   0.294    -.0592139    .1947666
             |
       _cons |   .2081371   .0641862     3.24   0.001     .0818461    .3344282
------------------------------------------------------------------------------
(756 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,234         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,234    .2886737    .4737706          0    2.11082
(756 missing values generated)
(756 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,234
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9542
                                                    Adj R-squared     = 0.9383
                                                    Root MSE          = 0.1207

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0158435   .0294566    -0.54   0.591    -.0738015    .0421145
             |
 scale_group |
          2  |   .0684787   .0659068     1.04   0.300    -.0611976     .198155
          3  |          0  (empty)
          4  |  -.0313895   .0272132    -1.15   0.250    -.0849335    .0221544
          5  |  -.0224786   .0171118    -1.31   0.190    -.0561473      .01119
          6  |  -.0512976   .0379604    -1.35   0.178    -.1259875    .0233922
          7  |  -.0153352    .033668    -0.46   0.649    -.0815794     .050909
          8  |  -.0153352    .033668    -0.46   0.649    -.0815794     .050909
          9  |  -.0313577   .0424318    -0.74   0.460    -.1148453    .0521299
         10  |          0  (empty)
         11  |  -.0139908   .0395234    -0.35   0.724     -.091756    .0637743
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5650055   .1452138    -3.89   0.000    -.8507242   -.2792868
          7  |  -.6974737   .1521588    -4.58   0.000    -.9968571   -.3980903
          8  |  -.6774465   .1452138    -4.67   0.000    -.9631652   -.3917278
          9  |  -.6807494   .1463225    -4.65   0.000    -.9686495   -.3928493
         10  |   -.699448   .1470809    -4.76   0.000    -.9888403   -.4100557
         11  |  -.6517777   .1487149    -4.38   0.000     -.944385   -.3591704
         12  |  -.6518208   .1481367    -4.40   0.000    -.9432905   -.3603511
         13  |  -.6446812   .1497451    -4.31   0.000    -.9393155   -.3500468
             |
       _cons |    .987195    .148045     6.67   0.000     .6959058    1.278484
------------------------------------------------------------------------------
(756 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,234         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,234    .2803078    .4713625          0   2.449848
(756 missing values generated)
(756 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,234
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(16, 313)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8517
                                                    Adj R-squared     = 0.8004
                                                    Root MSE          = 0.2270

                        (Std. err. adjusted for 314 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |     .04443    .044534     1.00   0.319    -.0431939    .1320539
             |
 scale_group |
          2  |  -.0676099   .0359338    -1.88   0.061    -.1383122    .0030925
          3  |          0  (empty)
          4  |   .1015046   .0476237     2.13   0.034     .0078016    .1952076
          5  |     .08785   .0281328     3.12   0.002     .0324966    .1432033
          6  |   .1403249   .0632839     2.22   0.027     .0158093    .2648406
          7  |   .0471267   .0561205     0.84   0.402    -.0632944    .1575479
          8  |    .044874   .0561205     0.80   0.425    -.0655472    .1552952
          9  |   .1377464   .0702149     1.96   0.051    -.0004065    .2758993
         10  |          0  (empty)
         11  |   .1488273   .0602629     2.47   0.014     .0302557    .2673989
         12  |          0  (omitted)
             |
  year_group |
          5  |          0  (empty)
          6  |   .1721927    .175322     0.98   0.327     -.172766    .5171514
          7  |    .095884   .1930787     0.50   0.620    -.2840123    .4757803
          8  |  -.0999378    .175322    -0.57   0.569    -.4448966    .2450209
          9  |  -.0819325   .1753441    -0.47   0.641    -.4269347    .2630696
         10  |  -.0473471    .175909    -0.27   0.788    -.3934607    .2987665
         11  |  -.0634741    .176838    -0.36   0.720    -.4114157    .2844675
         12  |  -.0620957   .1780494    -0.35   0.728    -.4124208    .2882294
         13  |   -.048691   .1803233    -0.27   0.787    -.4034901    .3061081
             |
       _cons |   .2874891   .1806441     1.59   0.113    -.0679412    .6429194
------------------------------------------------------------------------------
(756 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,234         751           0        751        751

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,234    .3188789     .495397          0   2.960179

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(0, 308)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7761
                                                    Adj R-squared     = 0.6915
                                                    Root MSE          = 0.2370

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0142557          .        .       .            .           .
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1707892          .        .       .            .           .
          4  |  -.1082226          .        .       .            .           .
          5  |  -.1242915          .        .       .            .           .
          6  |  -.1248812          .        .       .            .           .
          7  |          0  (omitted)
          8  |   .0076568          .        .       .            .           .
          9  |  -.1949938          .        .       .            .           .
         10  |          0  (empty)
         11  |   .0126586          .        .       .            .           .
         12  |  -.0947832          .        .       .            .           .
             |
  year_group |
          5  |   .0503471          .        .       .            .           .
          6  |  -.0300465          .        .       .            .           .
          7  |  -.0922695          .        .       .            .           .
          8  |  -.0703589          .        .       .            .           .
          9  |  -.0157803          .        .       .            .           .
         10  |   .0705553          .        .       .            .           .
         11  |   .1939196          .        .       .            .           .
         12  |   .1486781          .        .       .            .           .
         13  |    .134876          .        .       .            .           .
             |
       _cons |   .2617738          .        .       .            .           .
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         734           0        734        734

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,172    .2454736    .4393677          0   3.318658
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8255
                                                    Adj R-squared     = 0.7596
                                                    Root MSE          = 0.2292

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0029152   .0494046    -0.06   0.953    -.1001285    .0942981
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0799403   .0791172    -1.01   0.313    -.2356189    .0757383
          4  |   .0388973   .0336252     1.16   0.248    -.0272669    .1050614
          5  |     .00067   .0346794     0.02   0.985    -.0675686    .0689085
          6  |  -.0151955   .0537479    -0.28   0.778     -.120955     .090564
          7  |          0  (omitted)
          8  |   6.85e-16   3.54e-08     0.00   1.000    -6.96e-08    6.96e-08
          9  |   .0537732   .0391819     1.37   0.171    -.0233249    .1308713
         10  |          0  (empty)
         11  |   .0274092   .0459629     0.60   0.551    -.0630318    .1178503
         12  |   .0130734   .0709654     0.18   0.854     -.126565    .1527118
             |
  year_group |
          5  |   -.436876          .        .       .            .           .
          6  |  -.3174482   .2145817    -1.48   0.140    -.7396798    .1047834
          7  |  -.4448084   .1153776    -3.86   0.000    -.6718365   -.2177803
          8  |  -.3479451   .1077044    -3.23   0.001    -.5598745   -.1360156
          9  |  -.3226173    .109842    -2.94   0.004    -.5387529   -.1064818
         10  |  -.2307038   .1110808    -2.08   0.039     -.449277   -.0121305
         11  |  -.2091308   .1145873    -1.83   0.069    -.4346039    .0163422
         12  |  -.2599985   .1132404    -2.30   0.022    -.4828213   -.0371757
         13  |  -.1510768   .1238576    -1.22   0.223    -.3947908    .0926372
             |
       _cons |   .5179205   .1124083     4.61   0.000     .2967352    .7391059
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         734           0        734        734

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,172    .2688947    .4631863          0   3.196571
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7544
                                                    Adj R-squared     = 0.6617
                                                    Root MSE          = 0.2193

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0344062   .0482091     0.71   0.476    -.0604547    .1292671
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.074908   .0828707    -0.90   0.367    -.2379723    .0881563
          4  |   .0786542   .0341279     2.30   0.022      .011501    .1458074
          5  |   .0209623   .0374205     0.56   0.576    -.0526699    .0945945
          6  |   .0104452   .0367074     0.28   0.776    -.0617837    .0826741
          7  |   4.55e-16   3.55e-08     0.00   1.000    -6.99e-08    6.99e-08
          8  |          0  (omitted)
          9  |   .0542242   .0479842     1.13   0.259     -.040194    .1486425
         10  |          0  (empty)
         11  |   .0867567   .0372633     2.33   0.021     .0134338    .1600796
         12  |  -.0815599   .0979808    -0.83   0.406    -.2743562    .1112365
             |
  year_group |
          5  |    .250158          .        .       .            .           .
          6  |  -.3591344    .184613    -1.95   0.053    -.7223966    .0041279
          7  |  -.2911125    .145263    -2.00   0.046    -.5769459   -.0052792
          8  |   -.237905   .1360905    -1.75   0.081    -.5056896    .0298797
          9  |  -.3694997    .134498    -2.75   0.006    -.6341509   -.1048484
         10  |  -.3382135   .1357596    -2.49   0.013    -.6053472   -.0710798
         11  |  -.3619838   .1359454    -2.66   0.008    -.6294831   -.0944844
         12  |  -.3323201   .1373684    -2.42   0.016    -.6026193   -.0620209
         13  |  -.3312176    .137278    -2.41   0.016    -.6013389   -.0610962
             |
       _cons |   .5297821   .1352928     3.92   0.000      .263567    .7959972
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         734           0        734        734

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,172    .2544293    .3880373          0   2.756159
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(0, 308)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5460
                                                    Adj R-squared     = 0.3746
                                                    Root MSE          = 0.2052

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0272524          .        .       .            .           .
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1253957          .        .       .            .           .
          4  |   .1510518          .        .       .            .           .
          5  |   .1296376          .        .       .            .           .
          6  |   .1793396          .        .       .            .           .
          7  |   1.77e-15          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0350764          .        .       .            .           .
         10  |          0  (empty)
         11  |   .1723192          .        .       .            .           .
         12  |  -.0514496          .        .       .            .           .
             |
  year_group |
          5  |   .1341597          .        .       .            .           .
          6  |   .3930511          .        .       .            .           .
          7  |   .3417368          .        .       .            .           .
          8  |   .2105035          .        .       .            .           .
          9  |   .2156635          .        .       .            .           .
         10  |   .2132604          .        .       .            .           .
         11  |   .2222476          .        .       .            .           .
         12  |   .1971253          .        .       .            .           .
         13  |   .1934859          .        .       .            .           .
             |
       _cons |   -.167598          .        .       .            .           .
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         734           0        734        734

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,172    .1318363    .2705375          0   2.320768
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7717
                                                    Adj R-squared     = 0.6855
                                                    Root MSE          = 0.2622

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0182693   .0534353     0.34   0.733    -.0868751    .1234137
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3291693   .1577217     2.09   0.038     .0188209    .6395178
          4  |  -.0439988   .0474734    -0.93   0.355    -.1374119    .0494144
          5  |   .0301034   .0573641     0.52   0.600    -.0827717    .1429785
          6  |  -.1308826   .0663564    -1.97   0.049    -.2614519   -.0003133
          7  |  -.0204686   3.32e-08 -6.2e+05   0.000    -.0204686   -.0204685
          8  |          0  (omitted)
          9  |   .0379832   .0741861     0.51   0.609    -.1079925    .1839589
         10  |          0  (empty)
         11  |   -.121261   .0451387    -2.69   0.008    -.2100803   -.0324418
         12  |   .1041152   .0545063     1.91   0.057    -.0031366     .211367
             |
  year_group |
          5  |  -.1238292          .        .       .            .           .
          6  |   .0092714   .0876431     0.11   0.916    -.1631836    .1817265
          7  |  -.0505442   .0986901    -0.51   0.609    -.2447364    .1436479
          8  |   .0141951   .0669931     0.21   0.832    -.1176269    .1460172
          9  |   .0078489   .0543902     0.14   0.885    -.0991745    .1148723
         10  |  -.0456378   .0664766    -0.69   0.493    -.1764436    .0851679
         11  |   -.157803    .072264    -2.18   0.030    -.2999965   -.0156095
         12  |  -.1713597   .0704991    -2.43   0.016    -.3100805    -.032639
         13  |  -.1593388   .0678924    -2.35   0.020    -.2929304   -.0257472
             |
       _cons |   .3581852    .065575     5.46   0.000     .2291535    .4872169
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         734           0        734        734

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,172    .2665529    .4654861          0   2.793273
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,172
Absorbed variable: factor_pair                    No. of categories =      304
                                                  F(18, 308)        = 8.35e+11
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9767
                                                  Adj R-squared     =   0.9679
                                                  Root MSE          =   0.0942

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0009346   .0212068     0.04   0.965    -.0407938    .0426631
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .022529   .0116962     1.93   0.055    -.0004855    .0455435
          4  |   .0411713   .0296162     1.39   0.165    -.0171045    .0994471
          5  |   .0495553   .0291571     1.70   0.090    -.0078169    .1069276
          6  |   .0792403    .046833     1.69   0.092    -.0129127    .1713933
          7  |  -.0104176   2.20e-08 -4.7e+05   0.000    -.0104176   -.0104175
          8  |          0  (omitted)
          9  |   .0701576   .0389257     1.80   0.072    -.0064363    .1467515
         10  |          0  (empty)
         11  |   .0598131   .0346803     1.72   0.086    -.0084271    .1280533
         12  |       .006   .0104722     0.57   0.567     -.014606     .026606
             |
  year_group |
          5  |  -.1980173   8.07e-08 -2.5e+06   0.000    -.1980175   -.1980171
          6  |  -.0314054    .085332    -0.37   0.713    -.1993127     .136502
          7  |  -.0459552   .0651898    -0.70   0.481    -.1742289    .0823185
          8  |  -.0510532   .0618982    -0.82   0.410      -.17285    .0707436
          9  |  -.0538344   .0632636    -0.85   0.395     -.178318    .0706491
         10  |   -.070022   .0633494    -1.11   0.270    -.1946743    .0546304
         11  |  -.0371667   .0670564    -0.55   0.580    -.1691133    .0947798
         12  |  -.0507569   .0651258    -0.78   0.436    -.1789048    .0773909
         13  |  -.0364098   .0657952    -0.55   0.580    -.1658748    .0930552
             |
       _cons |   .3471961   .0664809     5.22   0.000     .2163819    .4780104
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         734           0        734        734

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,172    .3202619    .5167897          0   3.181209
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(0, 308)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9534
                                                    Adj R-squared     = 0.9358
                                                    Root MSE          = 0.1295

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0484518          .        .       .            .           .
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0905901          .        .       .            .           .
          4  |   .0250597          .        .       .            .           .
          5  |   .0106465          .        .       .            .           .
          6  |   .0114102          .        .       .            .           .
          7  |   3.48e-15          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0088591          .        .       .            .           .
         10  |          0  (empty)
         11  |   .0160958          .        .       .            .           .
         12  |   .0146475          .        .       .            .           .
             |
  year_group |
          5  |  -.3311179          .        .       .            .           .
          6  |  -.8996283          .        .       .            .           .
          7  |  -.9970056          .        .       .            .           .
          8  |  -.9723716          .        .       .            .           .
          9  |  -.9838552          .        .       .            .           .
         10  |   -.975053          .        .       .            .           .
         11  |   -.966476          .        .       .            .           .
         12  |  -.9705529          .        .       .            .           .
         13  |  -.9581283          .        .       .            .           .
             |
       _cons |   1.296081          .        .       .            .           .
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         734           0        734        734

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,172    .3104254    .5086486          0   3.187946
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8270
                                                    Adj R-squared     = 0.7617
                                                    Root MSE          = 0.2463

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0650802   .0561551     1.16   0.247     -.045416    .1755763
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2160422    .060342     3.58   0.000     .0973074     .334777
          4  |   .0169214   .0538346     0.31   0.753    -.0890087    .1228515
          5  |   .0351266   .0538357     0.65   0.515    -.0708058    .1410589
          6  |   .0497717   .0682224     0.73   0.466    -.0844693    .1840127
          7  |   .0083668          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .1523458   .0670152     2.27   0.024     .0204802    .2842114
         10  |          0  (empty)
         11  |   .1274275   .0605885     2.10   0.036     .0082078    .2466471
         12  |   .2159864   .0573014     3.77   0.000     .1032348    .3287381
             |
  year_group |
          5  |  -.1930299   5.11e-08 -3.8e+06   0.000      -.19303   -.1930298
          6  |  -.1952761   .0627435    -3.11   0.002    -.3187363   -.0718159
          7  |   -.269661   .1080247    -2.50   0.013    -.4822209   -.0571012
          8  |  -.2778177   .0821633    -3.38   0.001    -.4394902   -.1161452
          9  |  -.2889509   .0740012    -3.90   0.000    -.4345629    -.143339
         10  |  -.2583034   .0801392    -3.22   0.001     -.415993   -.1006138
         11  |  -.2485713   .0819119    -3.03   0.003     -.409749   -.0873937
         12  |    -.24719   .0847734    -2.92   0.004    -.4139982   -.0803818
         13  |   -.243134   .0903576    -2.69   0.008    -.4209303   -.0653377
             |
       _cons |   .4846909   .0854896     5.67   0.000     .3164734    .6529084
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         734           0        734        734

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,172    .3279339    .5032566          0   2.880944

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(626 missing values generated)
(626 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,364
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(18, 331)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7980
                                                    Adj R-squared     = 0.7365
                                                    Root MSE          = 0.1986

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0207163   .0414451     0.50   0.618    -.0608127    .1022453
             |
 scale_group |
          2  |   .0232869   .1017167     0.23   0.819    -.1768057    .2233796
          3  |          0  (omitted)
          4  |   .1416958   .0419082     3.38   0.001     .0592558    .2241359
          5  |   .0772811   .0464999     1.66   0.097    -.0141914    .1687536
          6  |   .1701474   .0674221     2.52   0.012     .0375174    .3027773
          7  |   .1529394   .0590516     2.59   0.010     .0367757    .2691031
          8  |   .1595375   .0590516     2.70   0.007     .0433738    .2757012
          9  |     .06731   .0480959     1.40   0.163    -.0273022    .1619223
         10  |   .0839037   .0502048     1.67   0.096     -.014857    .1826643
         11  |     .18013    .051504     3.50   0.001     .0788135    .2814465
         12  |   .0043207    .090954     0.05   0.962    -.1746001    .1832414
             |
  year_group |
          5  |   .0397646          .        .       .            .           .
          6  |  -.2466679   .2088343    -1.18   0.238    -.6574778    .1641419
          7  |   .1022329   .1358103     0.75   0.452    -.1649272     .369393
          8  |    .048749   .1086739     0.45   0.654    -.1650296    .2625277
          9  |   .0516616   .1043391     0.50   0.621    -.1535897    .2569129
         10  |   .1361358   .1069305     1.27   0.204    -.0742134    .3464849
         11  |   .2009602   .1121302     1.79   0.074    -.0196174    .4215379
         12  |   .1752071   .1107092     1.58   0.114    -.0425752    .3929895
         13  |   .1901746   .1128512     1.69   0.093    -.0318213    .4121706
             |
       _cons |  -.0173876   .1165345    -0.15   0.881    -.2466293     .211854
------------------------------------------------------------------------------
(626 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,364         805           0        805        805

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,364    .2214526    .3826276          0    2.19845
(626 missing values generated)
(626 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,364
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(18, 331)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8563
                                                    Adj R-squared     = 0.8126
                                                    Root MSE          = 0.1922

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0182275   .0407151    -0.45   0.655    -.0983206    .0618655
             |
 scale_group |
          2  |   .0102561   .0739208     0.14   0.890    -.1351577    .1556699
          3  |          0  (omitted)
          4  |   .0891371   .0331953     2.69   0.008     .0238367    .1544375
          5  |    .045392   .0397519     1.14   0.254    -.0328062    .1235902
          6  |   .0775467   .0447087     1.73   0.084    -.0104024    .1654958
          7  |   .0699366   .0503321     1.39   0.166    -.0290746    .1689478
          8  |   .0699366   .0503321     1.39   0.166    -.0290746    .1689478
          9  |   .0480561   .0357073     1.35   0.179    -.0221858     .118298
         10  |   .0807071   .0431532     1.87   0.062     -.004182    .1655961
         11  |   .0983854   .0441128     2.23   0.026     .0116087    .1851621
         12  |    .040918   .0731274     0.56   0.576     -.102935     .184771
             |
  year_group |
          5  |  -.3464798          .        .       .            .           .
          6  |  -.4692378   .0613632    -7.65   0.000    -.5899488   -.3485269
          7  |  -.3609383   .0448419    -8.05   0.000    -.4491493   -.2727273
          8  |  -.3080122   .0379306    -8.12   0.000    -.3826277   -.2333967
          9  |  -.3185337   .0310786   -10.25   0.000    -.3796702   -.2573972
         10  |  -.2291322   .0344661    -6.65   0.000    -.2969323    -.161332
         11  |  -.1639227   .0468489    -3.50   0.001    -.2560819   -.0717635
         12  |  -.2653709   .0439054    -6.04   0.000    -.3517396   -.1790022
         13  |  -.2147766   .0549618    -3.91   0.000    -.3228951   -.1066581
             |
       _cons |   .4588543   .0538037     8.53   0.000      .353014    .5646947
------------------------------------------------------------------------------
(626 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,364         805           0        805        805

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,364    .2459491     .430394          0   3.382001
(626 missing values generated)
(626 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,364
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(19, 331)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7649
                                                    Adj R-squared     = 0.6933
                                                    Root MSE          = 0.1895

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.014967   .0310847    -0.48   0.630    -.0761154    .0461814
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .123431   .0646737     1.91   0.057    -.0037924    .2506543
          4  |  -.0458665   .0243389    -1.88   0.060     -.093745     .002012
          5  |  -.0598086   .0324731    -1.84   0.066    -.1236884    .0040711
          6  |  -.0393102   .0418268    -0.94   0.348    -.1215901    .0429696
          7  |  -.0830622    .044127    -1.88   0.061     -.169867    .0037425
          8  |  -.0830622    .044127    -1.88   0.061     -.169867    .0037425
          9  |  -.0387682   .0327633    -1.18   0.238    -.1032188    .0256823
         10  |   .0268244   .0391514     0.69   0.494    -.0501926    .1038413
         11  |  -.0500187   .0318454    -1.57   0.117    -.1126637    .0126262
         12  |  -.0164924   .0490879    -0.34   0.737    -.1130559    .0800711
             |
  year_group |
          5  |   .0262336   4.77e-08  5.5e+05   0.000     .0262335    .0262336
          6  |  -.1728711    .057178    -3.02   0.003    -.2853492    -.060393
          7  |  -.2391436   .0554887    -4.31   0.000    -.3482987   -.1299886
          8  |  -.1809235   .0684388    -2.64   0.009    -.3155534   -.0462936
          9  |  -.2615198   .0464492    -5.63   0.000    -.3528927    -.170147
         10  |  -.2114999    .049732    -4.25   0.000    -.3093306   -.1136692
         11  |  -.2310578   .0520939    -4.44   0.000    -.3335346    -.128581
         12  |  -.2244392   .0580913    -3.86   0.000     -.338714   -.1101644
         13  |  -.2186269   .0532068    -4.11   0.000    -.3232929   -.1139608
             |
       _cons |   .4798555   .0575121     8.34   0.000     .3667202    .5929908
------------------------------------------------------------------------------
(626 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,364         805           0        805        805

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,364     .217231     .338815          0   2.280792
(626 missing values generated)
(626 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,364
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(18, 331)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6137
                                                    Adj R-squared     = 0.4962
                                                    Root MSE          = 0.1658

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.065634   .0344069    -1.91   0.057    -.1333177    .0020497
             |
 scale_group |
          2  |  -.4388382   .2570622    -1.71   0.089    -.9445198    .0668434
          3  |          0  (omitted)
          4  |   .0590627    .031926     1.85   0.065    -.0037407    .1218662
          5  |   .0550276   .0361762     1.52   0.129    -.0161367    .1261919
          6  |   .0540546   .0412456     1.31   0.191     -.027082    .1351913
          7  |   .0099742   .0428388     0.23   0.816    -.0742963    .0942448
          8  |   .0099742   .0428388     0.23   0.816    -.0742963    .0942448
          9  |   .0089634   .0376268     0.24   0.812    -.0650544    .0829812
         10  |   .0676296   .0372756     1.81   0.071    -.0056974    .1409567
         11  |   .0833111   .0457839     1.82   0.070    -.0067529    .1733751
         12  |  -.4345193   .2486273    -1.75   0.081    -.9236082    .0545695
             |
  year_group |
          5  |  -.0630011          .        .       .            .           .
          6  |   .0487861    .105864     0.46   0.645     -.159465    .2570371
          7  |   .0082932   .1060737     0.08   0.938    -.2003705    .2169568
          8  |  -.0045798   .1064632    -0.04   0.966    -.2140097      .20485
          9  |  -.0310676    .100039    -0.31   0.756      -.22786    .1657249
         10  |  -.0547803   .1020734    -0.54   0.592    -.2555746     .146014
         11  |  -.0432709   .1026456    -0.42   0.674    -.2451909    .1586492
         12  |   -.074574   .1029803    -0.72   0.469    -.2771524    .1280044
         13  |  -.0813958   .1035241    -0.79   0.432    -.2850439    .1222523
             |
       _cons |   .2636564   .1312495     2.01   0.045      .005468    .5218448
------------------------------------------------------------------------------
(626 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,364         805           0        805        805

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,364    .1054941    .2261322          0   2.560404
(626 missing values generated)
(626 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,364
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(19, 331)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8020
                                                    Adj R-squared     = 0.7418
                                                    Root MSE          = 0.2306

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0659809   .0388633     1.70   0.090    -.0104694    .1424311
             |
 scale_group |
          2  |    .022852    .074644     0.31   0.760    -.1239844    .1696884
          3  |          0  (omitted)
          4  |  -.0208983   .0279851    -0.75   0.456    -.0759495    .0341528
          5  |   .0279673   .0344435     0.81   0.417    -.0397885    .0957231
          6  |  -.0871227   .0542788    -1.61   0.109    -.1938977    .0196522
          7  |  -.0498681   .0530317    -0.94   0.348    -.1541898    .0544536
          8  |  -.0237773   .0530317    -0.45   0.654     -.128099    .0805444
          9  |   .0953027     .06283     1.52   0.130    -.0282937    .2188991
         10  |  -.1295364   .0536295    -2.42   0.016    -.2350341   -.0240388
         11  |  -.0991298   .0358878    -2.76   0.006    -.1697268   -.0285329
         12  |   .0725435   .0596832     1.22   0.225    -.0448627    .1899498
             |
  year_group |
          5  |   .1989158   9.61e-08  2.1e+06   0.000     .1989156     .198916
          6  |   .6250663   .2913493     2.15   0.033     .0519365    1.198196
          7  |   .1516115   .1161697     1.31   0.193    -.0769125    .3801354
          8  |   .1658823   .0787997     2.11   0.036     .0108709    .3208937
          9  |   .2141042   .0661484     3.24   0.001     .0839799    .3442284
         10  |   .1658262   .0720847     2.30   0.022     .0240244     .307628
         11  |   .0497547    .076763     0.65   0.517    -.1012502    .2007596
         12  |   .0400114   .0770108     0.52   0.604    -.1114809    .1915038
         13  |   .1038361   .0760872     1.36   0.173    -.0458393    .2535116
             |
       _cons |   .1012803    .077428     1.31   0.192    -.0510326    .2535933
------------------------------------------------------------------------------
(626 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,364         805           0        805        805

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,364    .2519691    .4473105          0   3.700535
(626 missing values generated)
(626 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,364
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(18, 331)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9778
                                                    Adj R-squared     = 0.9710
                                                    Root MSE          = 0.0793

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0189009   .0122119    -1.55   0.123    -.0429237    .0051218
             |
 scale_group |
          2  |   .0022485   .0244764     0.09   0.927    -.0459004    .0503973
          3  |          0  (omitted)
          4  |   .0125668   .0124624     1.01   0.314    -.0119486    .0370822
          5  |  -.0003183   .0112448    -0.03   0.977    -.0224386     .021802
          6  |   .0094239   .0165322     0.57   0.569    -.0230975    .0419452
          7  |  -.0350909   .0241537    -1.45   0.147    -.0826051    .0124233
          8  |  -.0324807   .0241537    -1.34   0.180    -.0799949    .0150335
          9  |   .0201654    .011773     1.71   0.088    -.0029939    .0433247
         10  |   -.052573   .0520079    -1.01   0.313    -.1548806    .0497346
         11  |   .0297064   .0213446     1.39   0.165    -.0122818    .0716947
         12  |   .0043352   .0208655     0.21   0.836    -.0367104    .0453808
             |
  year_group |
          5  |  -.0656767          .        .       .            .           .
          6  |  -.0289096   .0199842    -1.45   0.149    -.0682216    .0104023
          7  |  -.0272403   .0142631    -1.91   0.057     -.055298    .0008175
          8  |  -.0216361   .0106684    -2.03   0.043    -.0426225   -.0006497
          9  |  -.0251136   .0055388    -4.53   0.000    -.0360093   -.0142179
         10  |  -.0325146   .0097882    -3.32   0.001    -.0517695   -.0132596
         11  |  -.0237308   .0186294    -1.27   0.204    -.0603778    .0129162
         12  |  -.0299072   .0164085    -1.82   0.069    -.0621853    .0023709
         13  |  -.0421785   .0195662    -2.16   0.032    -.0806683   -.0036888
             |
       _cons |   .3392543   .0180819    18.76   0.000     .3036844    .3748242
------------------------------------------------------------------------------
(626 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,364         805           0        805        805

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,364    .2888839    .4499894          0    2.36242
(626 missing values generated)
(626 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,364
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(18, 331)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9457
                                                    Adj R-squared     = 0.9291
                                                    Root MSE          = 0.1220

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0181168   .0257639    -0.70   0.482    -.0687985    .0325649
             |
 scale_group |
          2  |   .0701847   .1227584     0.57   0.568    -.1713003    .3116696
          3  |          0  (omitted)
          4  |   .0153264   .0222568     0.69   0.492    -.0284561     .059109
          5  |   .0197755   .0271034     0.73   0.466    -.0335411    .0730921
          6  |    .017961    .027383     0.66   0.512    -.0359057    .0718278
          7  |   .0287779   .0423387     0.68   0.497    -.0545089    .1120648
          8  |   .0287779   .0423387     0.68   0.497    -.0545089    .1120648
          9  |   .0374856   .0270361     1.39   0.167    -.0156987    .0906699
         10  |   .0079806   .0211516     0.38   0.706     -.033628    .0495892
         11  |   .0229401   .0277303     0.83   0.409    -.0316096    .0774899
         12  |   .0766236   .1089698     0.70   0.482    -.1377372    .2909843
             |
  year_group |
          5  |  -.1659828          .        .       .            .           .
          6  |  -.8996666   .1029731    -8.74   0.000    -1.102231   -.6971025
          7  |  -.8935932   .1035776    -8.63   0.000    -1.097347   -.6898398
          8  |  -.9059377   .0997344    -9.08   0.000    -1.102131   -.7097446
          9  |  -.8747163   .0974612    -8.98   0.000    -1.066438   -.6829949
         10  |  -.8453478   .0995071    -8.50   0.000    -1.041094   -.6496017
         11  |  -.8107987   .1014584    -7.99   0.000    -1.010383   -.6112141
         12  |  -.8174977   .1014956    -8.05   0.000    -1.017155   -.6178399
         13  |  -.7947691   .1016971    -7.82   0.000    -.9948231    -.594715
             |
       _cons |   1.102083   .1069517    10.30   0.000     .8916927    1.312474
------------------------------------------------------------------------------
(626 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,364         805           0        805        805

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,364    .2731823    .4397166          0   1.930541
(626 missing values generated)
(626 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,364
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(18, 331)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9028
                                                    Adj R-squared     = 0.8732
                                                    Root MSE          = 0.1583

                        (Std. err. adjusted for 332 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0074333   .0309705     0.24   0.810    -.0534905     .068357
             |
 scale_group |
          2  |  -.3742258   .2176676    -1.72   0.087    -.8024121    .0539606
          3  |          0  (omitted)
          4  |   -.011862   .0159513    -0.74   0.458    -.0432407    .0195167
          5  |   .0231884   .0219534     1.06   0.292    -.0199974    .0663741
          6  |  -.0247368   .0290303    -0.85   0.395    -.0818439    .0323703
          7  |  -.0279743    .037407    -0.75   0.455    -.1015597    .0456112
          8  |  -.0310453    .037407    -0.83   0.407    -.1046308    .0425401
          9  |   .0311594   .0311007     1.00   0.317    -.0300206    .0923393
         10  |  -.0859925   .0391897    -2.19   0.029    -.1630849   -.0089002
         11  |  -.0216811   .0279349    -0.78   0.438    -.0766333    .0332712
         12  |  -.3032849   .2117928    -1.43   0.153    -.7199145    .1133446
             |
  year_group |
          5  |    .039353          .        .       .            .           .
          6  |   .2501938   .1132019     2.21   0.028     .0275079    .4728797
          7  |   .0437364   .0801861     0.55   0.586    -.1140022     .201475
          8  |   .0731537   .0674272     1.08   0.279    -.0594862    .2057935
          9  |   .0622405   .0616679     1.01   0.314    -.0590698    .1835509
         10  |    .043502   .0640903     0.68   0.498    -.0825737    .1695776
         11  |   .0274066   .0664416     0.41   0.680    -.1032944    .1581076
         12  |  -.0002085   .0671542    -0.00   0.998    -.1323113    .1318942
         13  |   .0301671   .0668049     0.45   0.652    -.1012486    .1615829
             |
       _cons |   .3413329   .0950539     3.59   0.000     .1543469    .5283189
------------------------------------------------------------------------------
(626 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,364         805           0        805        805

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,364    .2832316    .4364493          0   2.098149

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7669
                                                    Adj R-squared     = 0.6838
                                                    Root MSE          = 0.2304

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0520727   .0544447    -0.96   0.340    -.1591764     .055031
             |
 scale_group |
          2  |  -.0079222   .0659963    -0.12   0.905    -.1377501    .1219057
          3  |          0  (omitted)
          4  |   .0998817   .0493977     2.02   0.044     .0027065    .1970569
          5  |   .0223465   .0558522     0.40   0.689     -.087526     .132219
          6  |   .0913549   .0879653     1.04   0.300    -.0816904    .2644003
          7  |   .2166775   .0734467     2.95   0.003      .072193     .361162
          8  |   .2222812   .0734467     3.03   0.003     .0777968    .3667657
          9  |   .0341549   .0697111     0.49   0.624    -.1029808    .1712907
         10  |   .2483612   .1203711     2.06   0.040     .0115671    .4851553
         11  |    .192549   .0734623     2.62   0.009     .0480338    .3370641
         12  |    .062396   .0598878     1.04   0.298    -.0554152    .1802073
             |
  year_group |
          5  |   .0124409          .        .       .            .           .
          6  |  -.0925575   .1191449    -0.78   0.438    -.3269395    .1418245
          7  |  -.0106223   .1111054    -0.10   0.924    -.2291888    .2079443
          8  |  -.0430593   .0656553    -0.66   0.512    -.1722165    .0860978
          9  |   .0678252   .0615621     1.10   0.271    -.0532798    .1889302
         10  |   .1059038   .0684078     1.55   0.123    -.0286681    .2404756
         11  |    .134761   .0781018     1.73   0.085     -.018881    .2884029
         12  |   .1466598   .0738768     1.99   0.048     .0013292    .2919904
         13  |   .1243179    .084435     1.47   0.142    -.0417826    .2904185
             |
       _cons |   .0855465   .0784509     1.09   0.276    -.0687822    .2398751
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,242    .2300204     .409121          0   3.347656
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8129
                                                    Adj R-squared     = 0.7462
                                                    Root MSE          = 0.2124

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0306428   .0522048    -0.59   0.558    -.1333401    .0720545
             |
 scale_group |
          2  |   .0508563   .0627947     0.81   0.419    -.0726734     .174386
          3  |          0  (omitted)
          4  |   .1176945   .0370391     3.18   0.002     .0448311    .1905579
          5  |   .0558769   .0388211     1.44   0.151     -.020492    .1322458
          6  |   .0474591   .0586994     0.81   0.419    -.0680143    .1629326
          7  |   .0530248    .057738     0.92   0.359    -.0605574    .1666071
          8  |   .0530248    .057738     0.92   0.359    -.0605574    .1666071
          9  |   .0893359   .0405458     2.20   0.028     .0095742    .1690976
         10  |   .1081633   .0628616     1.72   0.086    -.0154981    .2318247
         11  |   .1052963   .0560316     1.88   0.061    -.0049292    .2155218
         12  |    .092744   .0578095     1.60   0.110    -.0209789     .206467
             |
  year_group |
          5  |  -.2603882          .        .       .            .           .
          6  |  -.2215549   .0983919    -2.25   0.025    -.4151115   -.0279983
          7  |  -.2956758   .0674509    -4.38   0.000    -.4283652   -.1629864
          8  |  -.2100832   .0613392    -3.42   0.001    -.3307498   -.0894167
          9  |  -.1836396    .061423    -2.99   0.003    -.3044709   -.0628082
         10  |  -.1124413    .062405    -1.80   0.072    -.2352045     .010322
         11  |  -.0717733   .0728248    -0.99   0.325    -.2150344    .0714877
         12  |  -.1218381   .0676712    -1.80   0.073     -.254961    .0112848
         13  |  -.0515342   .0864717    -0.60   0.552    -.2216413    .1185729
             |
       _cons |   .2976576   .0756941     3.93   0.000     .1487521    .4465631
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,242    .2253361     .402397          0   2.965227
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7349
                                                    Adj R-squared     = 0.6404
                                                    Root MSE          = 0.1902

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0480907   .0370328     1.30   0.195    -.0247602    .1209416
             |
 scale_group |
          2  |   -.109264   .0738445    -1.48   0.140    -.2545309    .0360029
          3  |          0  (omitted)
          4  |    .092462   .0366317     2.52   0.012        .0204     .164524
          5  |   .0727336   .0350086     2.08   0.039     .0038646    .1416026
          6  |   .0694833   .0452175     1.54   0.125    -.0194687    .1584353
          7  |   .0436968   .0387025     1.13   0.260    -.0324388    .1198324
          8  |   .0436968   .0387025     1.13   0.260    -.0324388    .1198324
          9  |   .1197141   .0489765     2.44   0.015     .0233674    .2160608
         10  |   .1819607   .0587635     3.10   0.002      .066361    .2975604
         11  |   .0827007   .0455637     1.82   0.070    -.0069322    .1723336
         12  |  -.0886745   .0609434    -1.46   0.147    -.2085624    .0312135
             |
  year_group |
          5  |   .1100114   5.16e-08  2.1e+06   0.000     .1100113    .1100115
          6  |  -.1495991   .0709815    -2.11   0.036    -.2892339   -.0099643
          7  |  -.1111718   .0763023    -1.46   0.146    -.2612737    .0389301
          8  |  -.1202373    .060292    -1.99   0.047    -.2388439   -.0016308
          9  |  -.1710952   .0527094    -3.25   0.001    -.2747852   -.0674051
         10  |  -.1224069   .0537131    -2.28   0.023    -.2280714   -.0167424
         11  |  -.1454341   .0538156    -2.70   0.007    -.2513001    -.039568
         12  |  -.1143847   .0582348    -1.96   0.050    -.2289441    .0001748
         13  |  -.1166615   .0565694    -2.06   0.040    -.2279449   -.0053781
             |
       _cons |   .2715099   .0623475     4.35   0.000     .1488598    .3941601
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,242    .2117828    .3330941          0   2.114286
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.4398
                                                    Adj R-squared     = 0.2403
                                                    Root MSE          = 0.2334

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0975426   .0452187    -2.16   0.032    -.1864968   -.0085885
             |
 scale_group |
          2  |  -.1496489   .2153927    -0.69   0.488    -.5733695    .2740717
          3  |          0  (omitted)
          4  |   .0026878   .0493717     0.05   0.957    -.0944361    .0998118
          5  |  -.0032033     .04836    -0.07   0.947    -.0983372    .0919306
          6  |  -.0373134   .0623873    -0.60   0.550    -.1600418     .085415
          7  |  -.0711482   .0541098    -1.31   0.189    -.1775931    .0352967
          8  |  -.0711482   .0541098    -1.31   0.189    -.1775931    .0352967
          9  |  -.0918572   .0547809    -1.68   0.095    -.1996223    .0159078
         10  |  -.0396558    .061332    -0.65   0.518    -.1603083    .0809966
         11  |    .014078   .0571537     0.25   0.806    -.0983548    .1265109
         12  |  -.1910479   .1838328    -1.04   0.299     -.552684    .1705882
             |
  year_group |
          5  |   .0490948   9.42e-08  5.2e+05   0.000     .0490946     .049095
          6  |   .1915767   .0593171     3.23   0.001     .0748881    .3082653
          7  |   .2094322   .1220902     1.72   0.087    -.0307436    .4496081
          8  |   .1242943   .0756481     1.64   0.101    -.0245207    .2731093
          9  |   .0121789   .0651901     0.19   0.852    -.1160631    .1404209
         10  |   .0031176   .0683714     0.05   0.964    -.1313827     .137618
         11  |   .0414787   .0738335     0.56   0.575    -.1037665    .1867239
         12  |   .0134035   .0713071     0.19   0.851    -.1268719     .153679
         13  |       .024   .0736691     0.33   0.745    -.1209219     .168922
             |
       _cons |   .1834779    .124939     1.47   0.143    -.0623021    .4292579
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,242    .1209636    .2554783          0   3.201669
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8050
                                                    Adj R-squared     = 0.7356
                                                    Root MSE          = 0.2349

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0608737   .0456555     1.33   0.183    -.0289398    .1506872
             |
 scale_group |
          2  |  -.0888671   .0844681    -1.05   0.294    -.2550329    .0772987
          3  |          0  (omitted)
          4  |   .0288359   .0607232     0.47   0.635    -.0906188    .1482905
          5  |   .0627501   .0553101     1.13   0.257     -.046056    .1715562
          6  |  -.0705838    .079806    -0.88   0.377    -.2275782    .0864106
          7  |   .0247112   .0679179     0.36   0.716    -.1088968    .1583193
          8  |    .058873   .0679179     0.87   0.387    -.0747351     .192481
          9  |   .0959046   .0827217     1.16   0.247    -.0668255    .2586348
         10  |  -.0770859   .0882566    -0.87   0.383    -.2507044    .0965326
         11  |  -.0450757   .0728019    -0.62   0.536    -.1882916    .0981402
         12  |   -.034851   .0565385    -0.62   0.538    -.1460736    .0763716
             |
  year_group |
          5  |   .0395789   7.57e-08  5.2e+05   0.000     .0395788    .0395791
          6  |   .2409622   .1131564     2.13   0.034      .018361    .4635635
          7  |   .1150732   .1048303     1.10   0.273    -.0911489    .3212954
          8  |   .1425829   .0763649     1.87   0.063    -.0076422     .292808
          9  |    .092328   .0669326     1.38   0.169    -.0393418    .2239978
         10  |   .0663924   .0713115     0.93   0.353    -.0738917    .2066764
         11  |  -.0617111   .0741533    -0.83   0.406    -.2075855    .0841634
         12  |    -.03595   .0755973    -0.48   0.635     -.184665     .112765
         13  |  -.0198295   .0753635    -0.26   0.793    -.1680847    .1284257
             |
       _cons |   .1974104   .0870857     2.27   0.024     .0260954    .3687254
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,242    .2587307    .4635222          0    2.74844
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9706
                                                    Adj R-squared     = 0.9601
                                                    Root MSE          = 0.0970

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0181355    .021073     0.86   0.390    -.0233193    .0595903
             |
 scale_group |
          2  |   .0067716   .0158119     0.43   0.669    -.0243337    .0378768
          3  |          0  (omitted)
          4  |   -.018078   .0156465    -1.16   0.249    -.0488579    .0127019
          5  |  -.0278635   .0179145    -1.56   0.121     -.063105    .0073779
          6  |  -.0231766   .0408858    -0.57   0.571    -.1036072    .0572539
          7  |  -.0503973   .0297533    -1.69   0.091    -.1089281    .0081334
          8  |  -.0429304   .0297533    -1.44   0.150    -.1014612    .0156003
          9  |  -.0143568   .0210687    -0.68   0.496    -.0558032    .0270896
         10  |  -.0661807   .0429393    -1.54   0.124    -.1506509    .0182894
         11  |  -.0246949   .0202321    -1.22   0.223    -.0644955    .0151057
         12  |    .000025   .0118884     0.00   0.998    -.0233619    .0234118
             |
  year_group |
          5  |  -.1228008          .        .       .            .           .
          6  |   .0275332   .0632125     0.44   0.663    -.0968185    .1518849
          7  |  -.0255203   .0406259    -0.63   0.530    -.1054396    .0543989
          8  |  -.0418681   .0345737    -1.21   0.227    -.1098816    .0261454
          9  |  -.0418587   .0348394    -1.20   0.230    -.1103949    .0266775
         10  |    -.07879   .0347438    -2.27   0.024     -.147138   -.0104421
         11  |  -.0690594   .0395423    -1.75   0.082     -.146847    .0087282
         12  |  -.0758998   .0375941    -2.02   0.044     -.149855   -.0019446
         13  |  -.0634476   .0417915    -1.52   0.130    -.1456598    .0187645
             |
       _cons |   .3811956   .0383338     9.94   0.000     .3057853    .4566059
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,242    .2833996    .4583539          0   2.672526
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9444
                                                    Adj R-squared     = 0.9246
                                                    Root MSE          = 0.1310

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0232431    .028427    -0.82   0.414    -.0791647    .0326785
             |
 scale_group |
          2  |  -.0862837   .0695942    -1.24   0.216    -.2231894     .050622
          3  |          0  (omitted)
          4  |   .0558123   .0308473     1.81   0.071    -.0048706    .1164952
          5  |   .0344089   .0265571     1.30   0.196    -.0178343     .086652
          6  |   .0455933   .0464665     0.98   0.327    -.0458156    .1370021
          7  |   .0272473   .0341757     0.80   0.426    -.0399832    .0944778
          8  |   .0272473   .0341757     0.80   0.426    -.0399831    .0944778
          9  |   .0372167   .0413401     0.90   0.369    -.0441077     .118541
         10  |    .032173     .03842     0.84   0.403    -.0434068    .1077529
         11  |   .0492818   .0543293     0.91   0.365    -.0575949    .1561584
         12  |  -.0292699    .053649    -0.55   0.586    -.1348081    .0762684
             |
  year_group |
          5  |  -.3002474   7.34e-08 -4.1e+06   0.000    -.3002476   -.3002473
          6  |  -.7584091   .1418446    -5.35   0.000    -1.037446   -.4793724
          7  |  -.8759471   .1506547    -5.81   0.000    -1.172315   -.5795791
          8  |  -.8725477   .1486483    -5.87   0.000    -1.164969   -.5801265
          9  |  -.8660183   .1474317    -5.87   0.000    -1.156046   -.5759905
         10  |  -.8545609   .1437041    -5.95   0.000    -1.137256   -.5718662
         11  |  -.8526123   .1452614    -5.87   0.000    -1.138371   -.5668539
         12  |  -.8433554   .1461255    -5.77   0.000    -1.130813   -.5558973
         13  |  -.8473313   .1477177    -5.74   0.000    -1.137922    -.556741
             |
       _cons |   1.144942   .1461459     7.83   0.000     .8574437     1.43244
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,242     .285612    .4596478          0   2.222269
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7512
                                                    Adj R-squared     = 0.6626
                                                    Root MSE          = 0.2931

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0136702    .060317    -0.23   0.821    -.1323258    .1049854
             |
 scale_group |
          2  |  -.3430763   .1536122    -2.23   0.026    -.6452623   -.0408902
          3  |          0  (omitted)
          4  |  -.0293014   .0644496    -0.45   0.650    -.1560868    .0974839
          5  |   .0026472   .0554557     0.05   0.962    -.1064453    .1117397
          6  |  -.0085473   .0855465    -0.10   0.920    -.1768343    .1597398
          7  |  -.0130415   .0843451    -0.15   0.877    -.1789653    .1528823
          8  |   -.026479   .0843451    -0.31   0.754    -.1924027    .1394448
          9  |   .0745172   .0857964     0.87   0.386    -.0942615    .2432959
         10  |  -.0082935   .1295167    -0.06   0.949    -.2630788    .2464919
         11  |   .0242569   .0924219     0.26   0.793    -.1575555    .2060693
         12  |  -.2582075   .1429275    -1.81   0.072    -.5393745    .0229595
             |
  year_group |
          5  |  -.1117927          .        .       .            .           .
          6  |  -.2783179   .0776635    -3.58   0.000    -.4310977   -.1255382
          7  |  -.2856877   .1181394    -2.42   0.016    -.5180916   -.0532839
          8  |  -.3140085   .0860503    -3.65   0.000    -.4832868   -.1447303
          9  |  -.3915545   .0636161    -6.15   0.000    -.5167002   -.2664088
         10  |  -.4198932   .0724938    -5.79   0.000    -.5625031   -.2772833
         11  |  -.3956083   .0775718    -5.10   0.000    -.5482076   -.2430089
         12  |  -.3853363   .0790196    -4.88   0.000    -.5407836   -.2298889
         13  |  -.3192798   .0875649    -3.65   0.000    -.4915375   -.1470222
             |
       _cons |   .7910232   .1162903     6.80   0.000     .5622568     1.01979
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         776           0        776        776

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,242    .3195177    .4858151          0   2.824552

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7944
                                                    Adj R-squared     = 0.7160
                                                    Root MSE          = 0.2040

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .026225    .056248     0.47   0.641    -.0844311     .136881
             |
 scale_group |
          2  |   .0097733   .0787817     0.12   0.901    -.1452131    .1647598
          3  |          0  (omitted)
          4  |   .1411211   .0627904     2.25   0.025     .0175942     .264648
          5  |   .0372215   .0282367     1.32   0.188    -.0183282    .0927713
          6  |   .0877396   .0806021     1.09   0.277    -.0708281    .2463074
          7  |   .2281929   .0822417     2.77   0.006     .0663997    .3899862
          8  |   .2346011   .0822417     2.85   0.005     .0728078    .3963943
          9  |   .0929692   .0678411     1.37   0.172    -.0404939    .2264324
         10  |          0  (empty)
         11  |   .1907502   .0760942     2.51   0.013     .0410507    .3404497
         12  |  -.0105002   .0698076    -0.15   0.881    -.1478319    .1268315
             |
  year_group |
          5  |    .021433   .0050193     4.27   0.000     .0115585    .0313074
          6  |  -.0462971   .0050193    -9.22   0.000    -.0561715   -.0364226
          7  |   .0453585   .0889914     0.51   0.611    -.1297135    .2204304
          8  |   .0971454   .0578685     1.68   0.094    -.0166988    .2109896
          9  |   .1536147   .0769382     2.00   0.047     .0022551    .3049744
         10  |   .1896471   .0578685     3.28   0.001     .0758029    .3034913
         11  |     .19193   .0722116     2.66   0.008      .049869    .3339911
         12  |   .2266328   .0703954     3.22   0.001     .0881447    .3651208
         13  |   .1710604   .0745281     2.30   0.022      .024442    .3176788
             |
       _cons |  -.0673208   .0726566    -0.93   0.355    -.2102574    .0756158
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,232    .2066657    .3829472          0   2.927666
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(0, 325)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8277
                                                    Adj R-squared     = 0.7620
                                                    Root MSE          = 0.2010

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0349317          .        .       .            .           .
             |
 scale_group |
          2  |   -.041434          .        .       .            .           .
          3  |          0  (omitted)
          4  |   .0672899          .        .       .            .           .
          5  |   .0463602          .        .       .            .           .
          6  |   .0296582          .        .       .            .           .
          7  |   .0624603          .        .       .            .           .
          8  |   .0624603          .        .       .            .           .
          9  |   .0500709          .        .       .            .           .
         10  |          0  (empty)
         11  |   .0563703          .        .       .            .           .
         12  |  -.0214041          .        .       .            .           .
             |
  year_group |
          5  |  -.3369487          .        .       .            .           .
          6  |  -5.96e-08          .        .       .            .           .
          7  |  -.3447172          .        .       .            .           .
          8  |  -.2928712          .        .       .            .           .
          9  |  -.2799721          .        .       .            .           .
         10  |  -.2125519          .        .       .            .           .
         11  |  -.1392392          .        .       .            .           .
         12  |  -.1951155          .        .       .            .           .
         13  |  -.1310183          .        .       .            .           .
             |
       _cons |   .3883579          .        .       .            .           .
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,232    .2339967    .4129718          0   2.923096
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7785
                                                    Adj R-squared     = 0.6939
                                                    Root MSE          = 0.1750

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0369696   .0274208     1.35   0.179     -.016975    .0909143
             |
 scale_group |
          2  |  -.1384101   .0720687    -1.92   0.056    -.2801901    .0033699
          3  |          0  (omitted)
          4  |    .202667   .0555585     3.65   0.000     .0933673    .3119666
          5  |   .1839188   .0513678     3.58   0.000     .0828635    .2849741
          6  |   .1281691   .0637299     2.01   0.045     .0027939    .2535443
          7  |   .1547392   .0594058     2.60   0.010     .0378708    .2716075
          8  |   .1547392   .0594058     2.60   0.010     .0378708    .2716075
          9  |   .2262879   .0616045     3.67   0.000     .1050939    .3474818
         10  |          0  (empty)
         11  |   .2057255   .0593124     3.47   0.001     .0890408    .3224101
         12  |   -.131208   .0545088    -2.41   0.017    -.2384427   -.0239733
             |
  year_group |
          5  |   .1765808    .085012     2.08   0.039     .0093376    .3438239
          6  |  -.2485889    .085012    -2.92   0.004    -.4158321   -.0813457
          7  |  -.1073219   .0979549    -1.10   0.274    -.3000276    .0853838
          8  |  -.1015436   .0869484    -1.17   0.244    -.2725963     .069509
          9  |  -.1305403   .0901544    -1.45   0.149    -.3079001    .0468196
         10  |  -.1204435   .0869484    -1.39   0.167    -.2914961    .0506092
         11  |  -.1532235   .0882217    -1.74   0.083    -.3267811    .0203341
         12  |  -.1241929   .0905779    -1.37   0.171    -.3023859        .054
         13  |  -.1297415   .0894452    -1.45   0.148     -.305706    .0462231
             |
       _cons |   .2101496   .0956829     2.20   0.029     .0219135    .3983857
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,232    .2234614    .3376539          0   2.142934
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6258
                                                    Adj R-squared     = 0.4830
                                                    Root MSE          = 0.1951

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0544431    .039106    -1.39   0.165    -.1313759    .0224897
             |
 scale_group |
          2  |  -.2584994   .3084236    -0.84   0.403    -.8652581    .3482593
          3  |          0  (omitted)
          4  |   .1129505   .0343071     3.29   0.001     .0454585    .1804425
          5  |    .123288   .0227568     5.42   0.000     .0785188    .1680573
          6  |   .1032949   .0460075     2.25   0.025     .0127848    .1938051
          7  |   .0351404    .041353     0.85   0.396     -.046213    .1164938
          8  |   .0351404    .041353     0.85   0.396     -.046213    .1164938
          9  |   .0104051   .0467724     0.22   0.824    -.0816098      .10242
         10  |          0  (empty)
         11  |   .1007844   .0458747     2.20   0.029     .0105355    .1910333
         12  |  -.2521093   .3009797    -0.84   0.403    -.8442237    .3400051
             |
  year_group |
          5  |   .1583896   .1814364     0.87   0.383    -.1985485    .5153277
          6  |   .6733423   .1814364     3.71   0.000     .3164042     1.03028
          7  |  -.1625882   .2110868    -0.77   0.442    -.5778572    .2526808
          8  |   -.181559   .1965539    -0.92   0.356    -.5682376    .2051196
          9  |  -.1941018   .1980871    -0.98   0.328    -.5837966    .1955929
         10  |  -.2214239   .1965539    -1.13   0.261    -.6081025    .1652547
         11  |  -.2087039   .1981527    -1.05   0.293    -.5985277      .18112
         12  |  -.2088138   .1979732    -1.05   0.292    -.5982845    .1806569
         13  |  -.1871011   .1989658    -0.94   0.348    -.5785245    .2043223
             |
       _cons |   .3366101   .2155448     1.56   0.119    -.0874291    .7606493
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,232    .1221997    .2638323          0    2.05109
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7889
                                                    Adj R-squared     = 0.7084
                                                    Root MSE          = 0.2346

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0337851   .0380066     0.89   0.375    -.0409849    .1085551
             |
 scale_group |
          2  |   .0764093   .0836532     0.91   0.362    -.0881609    .2409795
          3  |          0  (omitted)
          4  |  -.0034186   .0465107    -0.07   0.941    -.0949186    .0880815
          5  |   .0182954   .0264097     0.69   0.489    -.0336602     .070251
          6  |  -.0340611    .063087    -0.54   0.590    -.1581715    .0900492
          7  |   .0098557   .0612546     0.16   0.872    -.1106498    .1303613
          8  |   .0451052   .0612546     0.74   0.462    -.0754004    .1656108
          9  |   .0266853   .0558265     0.48   0.633    -.0831416    .1365122
         10  |          0  (empty)
         11  |  -.0801444   .0501259    -1.60   0.111    -.1787565    .0184677
         12  |    .017008   .0794646     0.21   0.831    -.1393218    .1733379
             |
  year_group |
          5  |    .083794   .0945238     0.89   0.376    -.1021617    .2697498
          6  |   .2512809   .0945238     2.66   0.008     .0653251    .4372366
          7  |   .1653554   .1154457     1.43   0.153    -.0617597    .3924705
          8  |   .3068147   .1006639     3.05   0.002     .1087797    .5048497
          9  |    .352398   .1088231     3.24   0.001     .1383114    .5664845
         10  |   .2865559   .1006639     2.85   0.005     .0885209    .4845909
         11  |    .194046   .1063104     1.83   0.069    -.0150974    .4031894
         12  |   .2004756   .1086237     1.85   0.066    -.0132186    .4141698
         13  |   .2091866   .1097456     1.91   0.058    -.0067148     .425088
             |
       _cons |  -.0109857   .1033459    -0.11   0.915    -.2142971    .1923256
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,232     .259155    .4520465          0    2.39721
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9690
                                                    Adj R-squared     = 0.9571
                                                    Root MSE          = 0.0956

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0103941   .0214839     0.48   0.629    -.0318709    .0526591
             |
 scale_group |
          2  |  -.0155683   .0238584    -0.65   0.515    -.0625046    .0313681
          3  |          0  (omitted)
          4  |   .0376569   .0238101     1.58   0.115    -.0091845    .0844982
          5  |   .0039595    .012248     0.32   0.747     -.020136    .0280549
          6  |   .0956453   .0599641     1.60   0.112    -.0223215    .2136121
          7  |   .0064983   .0316725     0.21   0.838    -.0558106    .0688072
          8  |   .0113145   .0316725     0.36   0.721    -.0509944    .0736234
          9  |   .0403508   .0232121     1.74   0.083    -.0053142    .0860158
         10  |          0  (empty)
         11  |   .0354069   .0257789     1.37   0.171    -.0153078    .0861215
         12  |   .0130499   .0189472     0.69   0.491    -.0242247    .0503246
             |
  year_group |
          5  |  -.1205685   .0282372    -4.27   0.000    -.1761193   -.0650177
          6  |   .1097242   .0282372     3.89   0.000     .0541734    .1652751
          7  |  -.0067601   .0466542    -0.14   0.885    -.0985425    .0850222
          8  |  -.0134584   .0413441    -0.33   0.745    -.0947942    .0678774
          9  |  -.0139713   .0444034    -0.31   0.753    -.1013257    .0733831
         10  |   -.036168   .0413441    -0.87   0.382    -.1175038    .0451678
         11  |  -.0393867    .044743    -0.88   0.379    -.1274091    .0486357
         12  |  -.0278894   .0449061    -0.62   0.535    -.1162326    .0604539
         13  |  -.0334338   .0462985    -0.72   0.471    -.1245163    .0576487
             |
       _cons |   .2942076   .0460118     6.39   0.000      .203689    .3847263
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,232    .2870738    .4578446          0   2.290842
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9409
                                                    Adj R-squared     = 0.9184
                                                    Root MSE          = 0.1274

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0219456   .0307819    -0.71   0.476    -.0825024    .0386113
             |
 scale_group |
          2  |  -.0430885   .1002622    -0.43   0.668    -.2403332    .1541563
          3  |          0  (omitted)
          4  |  -.0502982   .0250631    -2.01   0.046    -.0996046   -.0009919
          5  |  -.0284109   .0179445    -1.58   0.114    -.0637128    .0068911
          6  |  -.0524178   .0366224    -1.43   0.153    -.1244646     .019629
          7  |  -.0296987   .0344919    -0.86   0.390    -.0975542    .0381568
          8  |  -.0296987   .0344919    -0.86   0.390    -.0975542    .0381568
          9  |  -.0654333   .0412253    -1.59   0.113    -.1465355    .0156689
         10  |          0  (empty)
         11  |  -.0553938   .0457159    -1.21   0.227    -.1453303    .0345427
         12  |  -.0441076   .0665085    -0.66   0.508    -.1749491     .086734
             |
  year_group |
          5  |  -.2141168   .0467483    -4.58   0.000    -.3060842   -.1221494
          6  |   -.544614   .0467483   -11.65   0.000    -.6365814   -.4526466
          7  |  -.5854298   .1042268    -5.62   0.000    -.7904741   -.3803854
          8  |  -.5393496   .1006311    -5.36   0.000    -.7373202    -.341379
          9  |  -.5358941   .1014032    -5.28   0.000    -.7353837   -.3364046
         10  |  -.5601758   .1006311    -5.57   0.000    -.7581464   -.3622052
         11  |  -.4763678   .1048018    -4.55   0.000    -.6825433   -.2701923
         12  |  -.4803043   .1047837    -4.58   0.000    -.6864443   -.2741643
         13  |  -.4950131    .106163    -4.66   0.000    -.7038665   -.2861597
             |
       _cons |   .8497216   .1039579     8.17   0.000     .6452062    1.054237
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,232     .280024    .4481213          0   2.486744
(758 missing values generated)
(758 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,232
Absorbed variable: factor_pair                      No. of categories =    322
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6980
                                                    Adj R-squared     = 0.5828
                                                    Root MSE          = 0.3309

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0594081    .057493     1.03   0.302    -.0536973    .1725135
             |
 scale_group |
          2  |   -.381763   .2527862    -1.51   0.132    -.8790669    .1155409
          3  |          0  (omitted)
          4  |   .1135731   .0580564     1.96   0.051    -.0006406    .2277868
          5  |   .1624932   .0404854     4.01   0.000     .0828466    .2421397
          6  |   .2183054   .1001191     2.18   0.030     .0213421    .4152688
          7  |   .1547017   .0777961     1.99   0.048     .0016542    .3077492
          8  |   .1601807   .0777961     2.06   0.040     .0071332    .3132282
          9  |   .2832349   .0830257     3.41   0.001     .1198992    .4465706
         10  |          0  (empty)
         11  |   .1721285   .0828491     2.08   0.039     .0091403    .3351166
         12  |  -.2300246   .2396804    -0.96   0.338    -.7015456    .2414963
             |
  year_group |
          5  |  -.1842541   .0471216    -3.91   0.000    -.2769559   -.0915522
          6  |   .0563557   .0471216     1.20   0.233    -.0363461    .1490575
          7  |  -.4133059   .2904605    -1.42   0.156    -.9847261    .1581142
          8  |  -.4538402    .268321    -1.69   0.092    -.9817055    .0740251
          9  |   -.463925   .2704607    -1.72   0.087    -.9959996    .0681496
         10  |  -.4290274    .268321    -1.60   0.111    -.9568927    .0988379
         11  |  -.4109549   .2712402    -1.52   0.131     -.944563    .1226532
         12  |  -.3280365   .2724172    -1.20   0.229    -.8639601    .2078872
         13  |  -.3417228   .2743361    -1.25   0.214    -.8814216    .1979759
             |
       _cons |   .6732918   .2770106     2.43   0.016     .1283316    1.218252
------------------------------------------------------------------------------
(758 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,232         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,232    .3491435     .509636          0   3.127192

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7748
                                                    Adj R-squared     = 0.6919
                                                    Root MSE          = 0.2347

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0598534   .0517689     1.16   0.248    -.0419911    .1616979
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0091068    .125576    -0.07   0.942    -.2561512    .2379375
          4  |   .1414274   .0585139     2.42   0.016     .0263135    .2565412
          5  |   .0628318   .0284822     2.21   0.028     .0067992    .1188645
          6  |   .1093901    .092976     1.18   0.240    -.0735207    .2923009
          7  |   .1559212   .0637871     2.44   0.015     .0304336    .2814089
          8  |   .1634959   .0637871     2.56   0.011     .0380082    .2889836
          9  |   .0560014   .0538224     1.04   0.299     -.049883    .1618857
         10  |   .1950826     .09622     2.03   0.043       .00579    .3843752
         11  |   .1764102   .0718767     2.45   0.015     .0350079    .3178124
         12  |   .0406701   .0682098     0.60   0.551    -.0935185    .1748586
             |
  year_group |
          5  |   .1075569   .0111566     9.64   0.000     .0856087    .1295051
          6  |  -.1816706   .0111566   -16.28   0.000    -.2036188   -.1597224
          7  |   .3236161   .2209509     1.46   0.144    -.1110584    .7582907
          8  |   .3790139   .2139137     1.77   0.077    -.0418164    .7998442
          9  |   .3734332   .2086583     1.79   0.074    -.0370581    .7839245
         10  |   .4192132   .2089271     2.01   0.046      .008193    .8302333
         11  |   .4715368   .2107889     2.24   0.026     .0568539    .8862197
         12  |   .4090337   .2109147     1.94   0.053    -.0058966     .823964
         13  |    .376537   .2122475     1.77   0.077    -.0410155    .7940895
             |
       _cons |    -.28255   .2103008    -1.34   0.180    -.6962728    .1311728
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         779           0        779        779

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,284    .2331143    .4220298          0   3.384629
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8540
                                                    Adj R-squared     = 0.8003
                                                    Root MSE          = 0.1914

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0578778    .042457    -1.36   0.174     -.141403    .0256474
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1051845   .0685842    -1.53   0.126    -.2401096    .0297406
          4  |   .0720252    .029069     2.48   0.014      .014838    .1292125
          5  |   .0043045   .0261136     0.16   0.869    -.0470686    .0556775
          6  |   .0675284   .0428455     1.58   0.116     -.016761    .1518179
          7  |   .0406469   .0382021     1.06   0.288    -.0345076    .1158015
          8  |   .0406469   .0382021     1.06   0.288    -.0345076    .1158015
          9  |   .0409188   .0307963     1.33   0.185    -.0196665    .1015041
         10  |   .0470368   .0423672     1.11   0.268    -.0363117    .1303853
         11  |   .0294165    .037249     0.79   0.430     -.043863    .1026961
         12  |   .0133393   .0492384     0.27   0.787    -.0835269    .1102056
             |
  year_group |
          5  |  -.4828088          .        .       .            .           .
          6  |  -2.63e-14          .        .       .            .           .
          7  |   .1629673   .0574441     2.84   0.005      .049958    .2759766
          8  |   .2567236    .053363     4.81   0.000     .1517431     .361704
          9  |   .2680374   .0513373     5.22   0.000     .1670422    .3690327
         10  |   .3456053   .0519877     6.65   0.000     .2433304    .4478803
         11  |   .3948546   .0545403     7.24   0.000      .287558    .5021513
         12  |   .3142733   .0506427     6.21   0.000     .2146443    .4139022
         13  |   .3284127   .0648163     5.07   0.000     .2009002    .4559252
             |
       _cons |  -.0576814   .0645435    -0.89   0.372    -.1846572    .0692944
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         779           0        779        779

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,284    .2559007    .4389039          0   3.322742
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7848
                                                    Adj R-squared     = 0.7057
                                                    Root MSE          = 0.2032

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0138478   .0408372     0.34   0.735    -.0664909    .0941865
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0456816    .084289    -0.54   0.588    -.2115025    .1201394
          4  |   .0186574   .0424026     0.44   0.660    -.0647607    .1020756
          5  |  -.0371185   .0305131    -1.22   0.225    -.0971465    .0229096
          6  |  -.0742808   .0525911    -1.41   0.159    -.1777427     .029181
          7  |  -.0621383   .0425499    -1.46   0.145    -.1458463    .0215696
          8  |  -.0621383   .0425499    -1.46   0.145    -.1458463    .0215696
          9  |   .0115434   .0554192     0.21   0.835    -.0974822     .120569
         10  |    .122963   .0660377     1.86   0.064    -.0069523    .2528784
         11  |   .0041753   .0498486     0.08   0.933    -.0938913    .1022419
         12  |  -.0814959   .0848178    -0.96   0.337    -.2483572    .0853654
             |
  year_group |
          5  |   .1803578   .0411413     4.38   0.000     .0994208    .2612948
          6  |  -.1850885   .0411413    -4.50   0.000    -.2660254   -.1041515
          7  |  -.3507426   .1127766    -3.11   0.002    -.5726069   -.1288782
          8  |  -.2618855   .1098138    -2.38   0.018    -.4779211     -.04585
          9  |  -.3985593   .0987198    -4.04   0.000    -.5927698   -.2043487
         10  |  -.3809292   .0968333    -3.93   0.000    -.5714284   -.1904301
         11  |  -.3988338   .0937027    -4.26   0.000    -.5831741   -.2144935
         12  |  -.3682702   .0928878    -3.96   0.000    -.5510075    -.185533
         13  |  -.3662143    .094086    -3.89   0.000    -.5513088   -.1811198
             |
       _cons |   .6143246   .1017603     6.04   0.000     .4141325    .8145167
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         779           0        779        779

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,284    .2370614    .3802122          0   2.960454
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6476
                                                    Adj R-squared     = 0.5180
                                                    Root MSE          = 0.1976

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0491259   .0343128     1.43   0.153    -.0183773    .1166291
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.016647   .1066447    -0.16   0.876     -.226448     .193154
          4  |   .1813308   .0384918     4.71   0.000     .1056062    .2570553
          5  |   .1698835   .0237667     7.15   0.000     .1231274    .2166396
          6  |   .1555533   .0466131     3.34   0.001     .0638519    .2472547
          7  |   .0948248   .0446378     2.12   0.034     .0070094    .1826402
          8  |   .0948248   .0446378     2.12   0.034     .0070094    .1826402
          9  |   .0817184    .039972     2.04   0.042     .0030819     .160355
         10  |   .0933888   .0516093     1.81   0.071    -.0081417    .1949193
         11  |   .2004601   .0481593     4.16   0.000     .1057168    .2952034
         12  |  -.0377644   .0557365    -0.68   0.499    -.1474143    .0718854
             |
  year_group |
          5  |   .1848583   .0161681    11.43   0.000      .153051    .2166656
          6  |   .5104085   .0161681    31.57   0.000     .4786012    .5422158
          7  |    .449103   .1157854     3.88   0.000     .2213195    .6768865
          8  |   .3388146   .1053148     3.22   0.001     .1316298    .5459994
          9  |   .3428367   .1015736     3.38   0.001      .143012    .5426614
         10  |    .349586   .1027851     3.40   0.001     .1473779    .5517942
         11  |   .4126917   .1011278     4.08   0.000     .2137439    .6116395
         12  |   .3684255   .1007846     3.66   0.000      .170153    .5666979
         13  |     .35015   .1039183     3.37   0.001     .1457126    .5545874
             |
       _cons |  -.3673151   .1084076    -3.39   0.001    -.5805844   -.1540459
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         779           0        779        779

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,284    .1407713     .301561          0   2.594068
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(0, 325)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7789
                                                    Adj R-squared     = 0.6976
                                                    Root MSE          = 0.2629

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0552304          .        .       .            .           .
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .221615          .        .       .            .           .
          4  |  -.0317393          .        .       .            .           .
          5  |   .0467218          .        .       .            .           .
          6  |  -.0712468          .        .       .            .           .
          7  |  -.0094916          .        .       .            .           .
          8  |   .0248336          .        .       .            .           .
          9  |   .0214536          .        .       .            .           .
         10  |  -.1305176          .        .       .            .           .
         11  |  -.0819625          .        .       .            .           .
         12  |   .1010824          .        .       .            .           .
             |
  year_group |
          5  |  -.0320982          .        .       .            .           .
          6  |   .0964684          .        .       .            .           .
          7  |  -.7224438          .        .       .            .           .
          8  |  -.7256854          .        .       .            .           .
          9  |  -.6603468          .        .       .            .           .
         10  |  -.6841576          .        .       .            .           .
         11  |   -.790693          .        .       .            .           .
         12  |  -.7981307          .        .       .            .           .
         13  |  -.7761363          .        .       .            .           .
             |
       _cons |   .9506014          .        .       .            .           .
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         779           0        779        779

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,284    .2628949    .4838851          0   3.920631
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(0, 325)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9745
                                                    Adj R-squared     = 0.9652
                                                    Root MSE          = 0.0943

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0127616          .        .       .            .           .
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0101859          .        .       .            .           .
          4  |   .0146856          .        .       .            .           .
          5  |  -.0058865          .        .       .            .           .
          6  |      .0799          .        .       .            .           .
          7  |  -.0432864          .        .       .            .           .
          8  |  -.0383715          .        .       .            .           .
          9  |   .0160413          .        .       .            .           .
         10  |  -.1043555          .        .       .            .           .
         11  |   .0399645          .        .       .            .           .
         12  |  -.0011479          .        .       .            .           .
             |
  year_group |
          5  |  -.1541583          .        .       .            .           .
          6  |   .1031817          .        .       .            .           .
          7  |   .1194362          .        .       .            .           .
          8  |   .1069405          .        .       .            .           .
          9  |   .1387693          .        .       .            .           .
         10  |   .1064655          .        .       .            .           .
         11  |   .1228663          .        .       .            .           .
         12  |   .1247273          .        .       .            .           .
         13  |   .1515889          .        .       .            .           .
             |
       _cons |   .1863087          .        .       .            .           .
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         779           0        779        779

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,284    .3116928    .5008458          0   3.489137
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(0, 325)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9589
                                                    Adj R-squared     = 0.9438
                                                    Root MSE          = 0.1174

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0278056          .        .       .            .           .
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1735259          .        .       .            .           .
          4  |  -.0119315          .        .       .            .           .
          5  |   -.019615          .        .       .            .           .
          6  |   .0001119          .        .       .            .           .
          7  |  -.0237038          .        .       .            .           .
          8  |  -.0237038          .        .       .            .           .
          9  |   .0180557          .        .       .            .           .
         10  |  -.0028824          .        .       .            .           .
         11  |   .0178288          .        .       .            .           .
         12  |   .0887656          .        .       .            .           .
             |
  year_group |
          5  |  -.1971995          .        .       .            .           .
          6  |  -.4328725          .        .       .            .           .
          7  |  -.2813381          .        .       .            .           .
          8  |  -.2808481          .        .       .            .           .
          9  |  -.2898998          .        .       .            .           .
         10  |  -.2680023          .        .       .            .           .
         11  |  -.2569681          .        .       .            .           .
         12  |     -.2825          .        .       .            .           .
         13  |  -.2640827          .        .       .            .           .
             |
       _cons |   .5915115          .        .       .            .           .
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         779           0        779        779

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,284    .3043712     .493656          0   3.331097
(706 missing values generated)
(706 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,284
Absorbed variable: factor_pair                      No. of categories =    326
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8155
                                                    Adj R-squared     = 0.7476
                                                    Root MSE          = 0.2581

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0961382   .0482948     1.99   0.047     .0011283    .1911482
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0846527   .0735688     1.15   0.251    -.0600785    .2293838
          4  |   .1689253   .0533962     3.16   0.002     .0638795    .2739711
          5  |   .1562625   .0312719     5.00   0.000     .0947415    .2177835
          6  |   .3162845   .1059949     2.98   0.003     .1077618    .5248071
          7  |   .1055662   .0750711     1.41   0.161    -.0421205    .2532529
          8  |   .1001872   .0750711     1.33   0.183    -.0474995    .2478739
          9  |   .1767311   .0692682     2.55   0.011     .0404605    .3130016
         10  |   .0084322   .0897423     0.09   0.925    -.1681169    .1849813
         11  |   .2929608   .0846473     3.46   0.001      .126435    .4594865
         12  |    .211868   .0581239     3.65   0.000     .0975214    .3262147
             |
  year_group |
          5  |  -.1689755   .0119078   -14.19   0.000    -.1924015   -.1455495
          6  |  -.0472093   .0119078    -3.96   0.000    -.0706354   -.0237833
          7  |  -.1625472   .2096357    -0.78   0.439    -.5749615    .2498671
          8  |  -.2335855   .2000651    -1.17   0.244    -.6271717    .1600006
          9  |  -.3674927    .196121    -1.87   0.062    -.7533197    .0183342
         10  |   -.328851   .1994478    -1.65   0.100    -.7212227    .0635207
         11  |  -.4024596   .1955307    -2.06   0.040    -.7871252    -.017794
         12  |  -.3894262   .1961475    -1.99   0.048    -.7753053   -.0035471
         13  |  -.3306349    .201005    -1.64   0.101      -.72607    .0648001
             |
       _cons |   .4576892   .2023612     2.26   0.024     .0595861    .8557923
------------------------------------------------------------------------------
(706 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,284         779           0        779        779

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,284    .3240254    .4999806          0   2.711603

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 322)        =   1.90
                                                    Prob > F          = 0.0172
                                                    R-squared         = 0.7803
                                                    Adj R-squared     = 0.7014
                                                    Root MSE          = 0.2114

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0548364   .0444946    -1.23   0.219    -.1423734    .0327005
             |
 scale_group |
          2  |   .0469273   .0987055     0.48   0.635    -.1472619    .2411164
          3  |          0  (omitted)
          4  |   .0762868    .038224     2.00   0.047     .0010866    .1514871
          5  |   .0196637   .0461898     0.43   0.671    -.0712083    .1105356
          6  |   .0899607   .0765325     1.18   0.241    -.0606062    .2405276
          7  |          0  (empty)
          8  |   .1124835   .0678256     1.66   0.098    -.0209538    .2459208
          9  |  -.0027814   .0488927    -0.06   0.955    -.0989708    .0934081
         10  |          0  (empty)
         11  |   .1259333   .0527109     2.39   0.017      .022232    .2296345
         12  |   .0440069   .1004252     0.44   0.662    -.1535654    .2415792
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |  -.1096297   .1329769    -0.82   0.410     -.371243    .1519836
          7  |  -.0213724   .1064382    -0.20   0.841    -.2307745    .1880296
          8  |  -.0021118   .0866487    -0.02   0.981    -.1725808    .1683572
          9  |    .028177   .0870147     0.32   0.746    -.1430122    .1993661
         10  |   .1035036   .0918053     1.13   0.260    -.0771104    .2841176
         11  |   .1621235   .0982553     1.65   0.100    -.0311799    .3554269
         12  |   .1466098   .0963441     1.52   0.129    -.0429336    .3361531
         13  |   .1177696   .1014808     1.16   0.247    -.0818795    .3174187
             |
       _cons |   .0798473   .0976534     0.82   0.414     -.112272    .2719666
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,212    .2078284     .388852          0   2.512616
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 322)        =   3.89
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8545
                                                    Adj R-squared     = 0.8023
                                                    Root MSE          = 0.1960

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0710638   .0427986    -1.66   0.098     -.155264    .0131364
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0095668   .0559357    -0.17   0.864    -.1196124    .1004788
          4  |   .0767788   .0388143     1.98   0.049     .0004171    .1531404
          5  |   .0281117   .0486409     0.58   0.564    -.0675824    .1238059
          6  |   .0421496   .0562228     0.75   0.454    -.0684607      .15276
          7  |          0  (empty)
          8  |   .0536162   .0601875     0.89   0.374    -.0647943    .1720266
          9  |   .0506511   .0416803     1.22   0.225    -.0313489    .1326511
         10  |          0  (empty)
         11  |   .0530789   .0461034     1.15   0.250     -.037623    .1437808
         12  |   .0268409   .0429199     0.63   0.532    -.0575978    .1112797
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |   .0798762   .1503491     0.53   0.596    -.2159144    .3756669
          7  |   .0152019   .1038462     0.15   0.884    -.1891009    .2195047
          8  |   .1125953   .0963062     1.17   0.243    -.0768736    .3020642
          9  |   .1220768   .0977129     1.25   0.212    -.0701595    .3143132
         10  |    .212562   .0960897     2.21   0.028     .0235191     .401605
         11  |   .2412922   .1045137     2.31   0.022     .0356762    .4469082
         12  |    .197349   .1019236     1.94   0.054    -.0031714    .3978693
         13  |   .1861342   .1074247     1.73   0.084    -.0252086    .3974771
             |
       _cons |   .0670562   .1053458     0.64   0.525    -.1401967    .2743091
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,212    .2499776     .442586          0   2.946832
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 322)        =   3.91
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8003
                                                    Adj R-squared     = 0.7285
                                                    Root MSE          = 0.1879

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0202083    .029763    -0.68   0.498    -.0787629    .0383462
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0380296   .0441304     0.86   0.389    -.0487906    .1248499
          4  |   .0494026   .0359564     1.37   0.170    -.0213365    .1201417
          5  |   .0126884   .0417999     0.30   0.762     -.069547    .0949238
          6  |  -.0370459   .0642168    -0.58   0.564    -.1633833    .0892915
          7  |          0  (empty)
          8  |   -.018889   .0509661    -0.37   0.711    -.1191576    .0813796
          9  |   .0568177   .0509848     1.11   0.266    -.0434876     .157123
         10  |          0  (empty)
         11  |   .0651971   .0479592     1.36   0.175    -.0291558      .15955
         12  |    .015256   .0359008     0.42   0.671    -.0553738    .0858858
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |  -.5454301   .1397195    -3.90   0.000    -.8203085   -.2705518
          7  |  -.5407364   .1090481    -4.96   0.000    -.7552731   -.3261997
          8  |  -.5774616   .0966161    -5.98   0.000    -.7675402   -.3873831
          9  |  -.5878893   .0978704    -6.01   0.000    -.7804354   -.3953432
         10  |  -.5782173   .0954914    -6.06   0.000    -.7660831   -.3903515
         11  |  -.5738407    .097943    -5.86   0.000    -.7665297   -.3811517
         12  |  -.5355442   .1024007    -5.23   0.000    -.7370031   -.3340853
         13  |  -.5651857    .100315    -5.63   0.000    -.7625413     -.36783
             |
       _cons |   .7764314   .1004467     7.73   0.000     .5788167     .974046
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,212    .2384666    .3680297          0   2.026315
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 322)        =   2.81
                                                    Prob > F          = 0.0002
                                                    R-squared         = 0.5516
                                                    Adj R-squared     = 0.3906
                                                    Root MSE          = 0.1896

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0623062   .0421589    -1.48   0.140    -.1452478    .0206354
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .302767   .2180983     1.39   0.166    -.1263107    .7318446
          4  |   .0796688   .0570294     1.40   0.163    -.0325284     .191866
          5  |   .0690427   .0622819     1.11   0.268    -.0534881    .1915736
          6  |   .0526575   .0666208     0.79   0.430    -.0784094    .1837245
          7  |          0  (empty)
          8  |  -.0519608   .0760211    -0.68   0.495    -.2015216    .0975999
          9  |  -.0016027   .0595717    -0.03   0.979    -.1188016    .1155961
         10  |          0  (empty)
         11  |   .0670229     .06302     1.06   0.288    -.0569601    .1910059
         12  |   .0237965   .0532156     0.45   0.655    -.0808976    .1284906
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |   .1670626   .1256267     1.33   0.185    -.0800903    .4142154
          7  |   .1137765   .1363438     0.83   0.405    -.1544607    .3820137
          8  |   .0422674   .1356656     0.31   0.756    -.2246355    .3091702
          9  |   .0189748   .1354457     0.14   0.889    -.2474954     .285445
         10  |   .0325778   .1386144     0.24   0.814    -.2401264    .3052819
         11  |   .0264696   .1395156     0.19   0.850    -.2480076    .3009467
         12  |   .0033359   .1393199     0.02   0.981    -.2707564    .2774281
         13  |  -.0110306   .1396997    -0.08   0.937    -.2858699    .2638088
             |
       _cons |   .0591742   .1458373     0.41   0.685    -.2277401    .3460885
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,212    .1083381    .2423263          0   2.571393
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 322)        =   4.27
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7835
                                                    Adj R-squared     = 0.7057
                                                    Root MSE          = 0.2480

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0593755   .0448094     1.33   0.186    -.0287807    .1475317
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1239497   .0785301     1.58   0.115    -.0305471    .2784465
          4  |  -.0225306   .0447577    -0.50   0.615     -.110585    .0655239
          5  |  -.0354382   .0502953    -0.70   0.482    -.1343872    .0635107
          6  |  -.0707744   .0697583    -1.01   0.311     -.208014    .0664652
          7  |          0  (empty)
          8  |  -.0480316   .0652895    -0.74   0.462    -.1764794    .0804162
          9  |   .0442836   .0696585     0.64   0.525    -.0927596    .1813269
         10  |          0  (empty)
         11  |  -.0863805   .0572389    -1.51   0.132    -.1989899     .026229
         12  |   .1119481   .0619494     1.81   0.072    -.0099286    .2338247
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |   .3365916   .2015656     1.67   0.096    -.0599603    .7331435
          7  |   .0088333   .1210267     0.07   0.942    -.2292696    .2469363
          8  |   .1418525   .1016794     1.40   0.164    -.0581873    .3418923
          9  |   .0997724   .0940461     1.06   0.290    -.0852499    .2847947
         10  |   .1056657   .1002188     1.05   0.293    -.0915006    .3028321
         11  |  -.0548144   .1036235    -0.53   0.597    -.2586789    .1490501
         12  |  -.0316116   .1043187    -0.30   0.762     -.236844    .1736207
         13  |  -.0025372   .1044481    -0.02   0.981     -.208024    .2029497
             |
       _cons |   .1953229   .1013558     1.93   0.055    -.0040803    .3947261
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,212    .2595442    .4637361          0   3.547781
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 322)        =   2.78
                                                    Prob > F          = 0.0002
                                                    R-squared         = 0.9774
                                                    Adj R-squared     = 0.9693
                                                    Root MSE          = 0.0862

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0026451     .01376    -0.19   0.848    -.0297158    .0244257
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0223108   .0214311     1.04   0.299    -.0198519    .0644735
          4  |   .0069214   .0109153     0.63   0.526     -.014553    .0283957
          5  |   .0016881   .0108563     0.16   0.877    -.0196701    .0230464
          6  |  -.0276386   .0184842    -1.50   0.136    -.0640036    .0087264
          7  |          0  (empty)
          8  |  -.0376285    .021457    -1.75   0.080     -.079842     .004585
          9  |   .0321922   .0148342     2.17   0.031      .003008    .0613764
         10  |          0  (empty)
         11  |   .0078461    .014724     0.53   0.594    -.0211213    .0368134
         12  |   .0065193   .0133469     0.49   0.626    -.0197388    .0327774
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |   .2057106   .0622394     3.31   0.001     .0832634    .3281579
          7  |   .1402651   .0466388     3.01   0.003     .0485098    .2320204
          8  |   .1489173   .0427254     3.49   0.001      .064861    .2329735
          9  |   .1364768   .0435529     3.13   0.002     .0507926    .2221609
         10  |   .1221294   .0429268     2.85   0.005      .037677    .2065819
         11  |    .115675   .0447895     2.58   0.010     .0275581     .203792
         12  |   .1339037   .0468193     2.86   0.005     .0417934    .2260141
         13  |   .1309094   .0471981     2.77   0.006     .0380539    .2237649
             |
       _cons |   .1903584   .0445789     4.27   0.000     .1026557    .2780611
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,212    .3134234    .4856806          0   2.328423
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 322)        =   2.50
                                                    Prob > F          = 0.0010
                                                    R-squared         = 0.9383
                                                    Adj R-squared     = 0.9161
                                                    Root MSE          = 0.1407

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0636771   .0267156    -2.38   0.018    -.1162363    -.011118
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1861886   .0851381     2.19   0.029     .0186914    .3536858
          4  |   -.003775   .0178414    -0.21   0.833    -.0388755    .0313255
          5  |  -.0092819   .0190076    -0.49   0.626    -.0466767    .0281129
          6  |  -.0286064   .0377161    -0.76   0.449    -.1028076    .0455947
          7  |          0  (empty)
          8  |  -.0185322   .0324888    -0.57   0.569    -.0824493    .0453848
          9  |  -.0013403   .0268883    -0.05   0.960    -.0542392    .0515586
         10  |          0  (empty)
         11  |   .0083917   .0338656     0.25   0.804    -.0582342    .0750176
         12  |    .083527   .0402895     2.07   0.039     .0042631     .162791
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |  -.8356287    .204471    -4.09   0.000    -1.237897   -.4333609
          7  |  -.9916366   .2259546    -4.39   0.000     -1.43617    -.547103
          8  |  -.9625848   .2298434    -4.19   0.000    -1.414769   -.5104004
          9  |  -.9942538   .2280736    -4.36   0.000    -1.442956   -.5455513
         10  |  -.9654859   .2215488    -4.36   0.000    -1.401352   -.5296198
         11  |  -.9542232      .2236    -4.27   0.000    -1.394125   -.5143217
         12  |  -.9448131   .2240168    -4.22   0.000    -1.385535   -.5040917
         13  |  -.9498279   .2236279    -4.25   0.000    -1.389784   -.5098717
             |
       _cons |   1.280662   .2242336     5.71   0.000     .8395146     1.72181
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,212    .2956759    .4789124          0   2.735888
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(17, 322)        =   3.95
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9262
                                                    Adj R-squared     = 0.8997
                                                    Root MSE          = 0.1493

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.046749   .0334872    -1.40   0.164    -.1126303    .0191323
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3078654   .1523815     2.02   0.044     .0080763    .6076545
          4  |  -.0170284    .029352    -0.58   0.562    -.0747743    .0407174
          5  |  -.0118778   .0328017    -0.36   0.718    -.0764106     .052655
          6  |  -.0580156   .0357281    -1.62   0.105    -.1283056    .0122743
          7  |          0  (empty)
          8  |  -.1023822   .0466023    -2.20   0.029    -.1940656   -.0106987
          9  |   .0263948   .0380376     0.69   0.488    -.0484387    .1012284
         10  |          0  (empty)
         11  |   -.030562   .0335585    -0.91   0.363    -.0965835    .0354595
         12  |   .1569894   .0511656     3.07   0.002     .0563284    .2576504
             |
  year_group |
          4  |          0  (empty)
          5  |          0  (omitted)
          6  |   .2179705   .0494593     4.41   0.000     .1206663    .3152746
          7  |   .0566715   .0494006     1.15   0.252    -.0405172    .1538602
          8  |    .145359   .0362268     4.01   0.000     .0740879      .21663
          9  |     .07966   .0264965     3.01   0.003     .0275317    .1317882
         10  |   .1090195   .0339943     3.21   0.001     .0421406    .1758984
         11  |   .0210422   .0387305     0.54   0.587    -.0551545     .097239
         12  |   .0351464   .0409431     0.86   0.391    -.0454033    .1156962
         13  |   .0354123   .0410382     0.86   0.389    -.0453245    .1161491
             |
       _cons |    .229177   .0463559     4.94   0.000     .1379783    .3203757
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,212    .2850394    .4627451          0   2.228795

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(18, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7811
                                                    Adj R-squared     = 0.7008
                                                    Root MSE          = 0.2383

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0141738   .0523415     0.27   0.787    -.0887867    .1171343
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1220518   .0984068    -1.24   0.216    -.3156271    .0715236
          4  |     .05363   .0864654     0.62   0.536    -.1164554    .2237153
          5  |  -.0306776   .0838623    -0.37   0.715    -.1956425    .1342873
          6  |  -.0290696   .0990901    -0.29   0.769    -.2239891    .1658498
          7  |   .1528706   .0807435     1.89   0.059    -.0059592    .3117005
          8  |   .1587947   .0807435     1.97   0.050    -.0000352    .3176246
          9  |  -.0451337   .1066807    -0.42   0.673    -.2549844    .1647171
         10  |          0  (omitted)
         11  |   .1011763    .084194     1.20   0.230    -.0644411    .2667936
         12  |  -.0072244   .0598939    -0.12   0.904    -.1250412    .1105923
             |
  year_group |
          5  |   .0168333   .0040861     4.12   0.000     .0087955    .0248711
          6  |   -.222636   .1525183    -1.46   0.145    -.5226535    .0773815
          7  |   .0833319   .1379955     0.60   0.546     -.188118    .3547818
          8  |   .0501104   .0903333     0.55   0.579    -.1275835    .2278042
          9  |   .0948867   .0875992     1.08   0.280     -.077429    .2672023
         10  |   .1172334   .0878168     1.33   0.183    -.0555103    .2899771
         11  |   .1900342   .1002783     1.90   0.059    -.0072225     .387291
         12  |   .1664332    .097548     1.71   0.089    -.0254526     .358319
         13  |    .115093   .1014792     1.13   0.258    -.0845259     .314712
             |
       _cons |   .0939814   .1001824     0.94   0.349    -.1030865    .2910494
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         796           0        796        796

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,290    .2369151    .4343498          0   2.961897
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(18, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8227
                                                    Adj R-squared     = 0.7577
                                                    Root MSE          = 0.2279

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0020706   .0539101     0.04   0.969    -.1039755    .1081167
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0920333   .0649123    -1.42   0.157    -.2197217     .035655
          4  |   .0470081   .0384956     1.22   0.223    -.0287164    .1227325
          5  |     .00009   .0399329     0.00   0.998    -.0784618    .0786418
          6  |   .0139127   .0576834     0.24   0.810    -.0995558    .1273812
          7  |  -.0165404   .0514472    -0.32   0.748    -.1177418     .084661
          8  |  -.0165404   .0514472    -0.32   0.748    -.1177418     .084661
          9  |   .0215394    .042812     0.50   0.615    -.0626757    .1057546
         10  |          0  (omitted)
         11  |   .0036359   .0495898     0.07   0.942    -.0939119    .1011837
         12  |   .0178683   .0458944     0.39   0.697    -.0724102    .1081468
             |
  year_group |
          5  |  -.3767174   3.23e-08 -1.2e+07   0.000    -.3767175   -.3767174
          6  |  -.2911967   .1384112    -2.10   0.036    -.5634643   -.0189292
          7  |  -.3741694   .0898104    -4.17   0.000    -.5508348    -.197504
          8  |  -.2974945    .082887    -3.59   0.000    -.4605408   -.1344481
          9  |  -.2633467   .0833297    -3.16   0.002    -.4272638   -.0994295
         10  |  -.2031265   .0827459    -2.45   0.015    -.3658952   -.0403577
         11  |  -.0995579   .0924219    -1.08   0.282    -.2813602    .0822445
         12  |   -.201605   .0890243    -2.26   0.024    -.3767239   -.0264861
         13  |  -.1144634   .1061558    -1.08   0.282    -.3232816    .0943548
             |
       _cons |   .4553897    .091514     4.98   0.000     .2753733    .6354061
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         796           0        796        796

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,290    .2668002    .4620193          0   3.032089
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(18, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7954
                                                    Adj R-squared     = 0.7204
                                                    Root MSE          = 0.2012

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0154076   .0395928     0.39   0.697    -.0624751    .0932903
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0657519   .0678067     0.97   0.333    -.0676302    .1991339
          4  |  -.1347292   .0476022    -2.83   0.005    -.2283671   -.0410912
          5  |  -.1535782   .0486166    -3.16   0.002    -.2492115    -.057945
          6  |  -.2309388   .0550384    -4.20   0.000    -.3392045   -.1226732
          7  |  -.2120572   .0404649    -5.24   0.000    -.2916555    -.132459
          8  |  -.2120572   .0404649    -5.24   0.000    -.2916555    -.132459
          9  |   -.077147   .0590309    -1.31   0.192    -.1932662    .0389721
         10  |          0  (omitted)
         11  |  -.1191211   .0474819    -2.51   0.013    -.2125223   -.0257199
         12  |    .007587   .0500577     0.15   0.880    -.0908811     .106055
             |
  year_group |
          5  |   .2167422   .0899293     2.41   0.016      .039843    .3936415
          6  |  -.2057074    .125654    -1.64   0.103    -.4528804    .0414655
          7  |  -.1694612   .1163126    -1.46   0.146    -.3982587    .0593363
          8  |  -.1354195   .1085597    -1.25   0.213    -.3489663    .0781274
          9  |  -.1668048   .1075367    -1.55   0.122    -.3783393    .0447298
         10  |  -.1508941   .1069449    -1.41   0.159    -.3612645    .0594762
         11  |  -.1974631   .1084982    -1.82   0.070     -.410889    .0159629
         12  |  -.1848485   .1098526    -1.68   0.093    -.4009387    .0312417
         13  |   -.196295   .1098615    -1.79   0.075    -.4124027    .0198127
             |
       _cons |   .5046567   .1113429     4.53   0.000      .285635    .7236785
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         796           0        796        796

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,290    .2697208    .4165391          0    3.15104
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(18, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6073
                                                    Adj R-squared     = 0.4632
                                                    Root MSE          = 0.2287

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0136574   .0453762    -0.30   0.764    -.1029166    .0756018
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .124661    .180475     0.69   0.490    -.2303499    .4796719
          4  |   .0677301   .0311936     2.17   0.031     .0063694    .1290907
          5  |    .054441   .0335685     1.62   0.106    -.0115913    .1204734
          6  |   .0964839   .0561112     1.72   0.086    -.0138919    .2068598
          7  |  -.0308143   .0403913    -0.76   0.446    -.1102678    .0486392
          8  |  -.0308143   .0403913    -0.76   0.446    -.1102678    .0486392
          9  |  -.0328069   .0388975    -0.84   0.400    -.1093218     .043708
         10  |          0  (omitted)
         11  |   .0564434   .0292698     1.93   0.055    -.0011329    .1140198
         12  |   .0043376   .0473193     0.09   0.927    -.0887438    .0974191
             |
  year_group |
          5  |   .0948488   .0668363     1.42   0.157    -.0366243     .226322
          6  |   .3040047   .1461896     2.08   0.038     .0164364     .591573
          7  |   .2088606   .1478208     1.41   0.159    -.0819166    .4996377
          8  |   .1533702   .1410827     1.09   0.278    -.1241525    .4308929
          9  |   .0907942   .1388512     0.65   0.514     -.182339    .3639273
         10  |   .0813079   .1398695     0.58   0.561    -.1938282    .3564439
         11  |   .0967392   .1401123     0.69   0.490    -.1788745     .372353
         12  |   .1011846    .139519     0.73   0.469    -.1732621    .3756314
         13  |   .0576942   .1426891     0.40   0.686    -.2229885    .3383769
             |
       _cons |   .0072976   .1386582     0.05   0.958    -.2654559    .2800511
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         796           0        796        796

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,290    .1376759    .3138965          0   2.664423
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(18, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8148
                                                    Adj R-squared     = 0.7468
                                                    Root MSE          = 0.2454

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0066012   .0438153     0.15   0.880    -.0795874    .0927899
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0430579   .0816019     0.53   0.598    -.1174606    .2035764
          4  |   .1011013   .0415992     2.43   0.016      .019272    .1829307
          5  |   .0983359   .0503922     1.95   0.052    -.0007901    .1974619
          6  |   .0855948   .0594348     1.44   0.151     -.031319    .2025085
          7  |   .1017357   .0476007     2.14   0.033     .0081008    .1953707
          8  |    .070617   .0476007     1.48   0.139    -.0230179    .1642519
          9  |   .1250391   .0624068     2.00   0.046     .0022793    .2477989
         10  |          0  (omitted)
         11  |   .0343008   .0385421     0.89   0.374     -.041515    .1101166
         12  |   .0129521    .054963     0.24   0.814    -.0951652    .1210693
             |
  year_group |
          5  |   .0201808   .0861979     0.23   0.815    -.1493784    .1897401
          6  |   .4979006   .2947265     1.69   0.092    -.0818535    1.077655
          7  |   .0599766   .1778009     0.34   0.736    -.2897741    .4097273
          8  |   .0487089   .1524728     0.32   0.750    -.2512192     .348637
          9  |   .0868159   .1459446     0.59   0.552    -.2002705    .3739023
         10  |   .1031496   .1504764     0.69   0.494    -.1928513    .3991504
         11  |   -.042044   .1522424    -0.28   0.783    -.3415189    .2574309
         12  |  -.0164031   .1532616    -0.11   0.915    -.3178828    .2850766
         13  |   -.020538   .1561041    -0.13   0.895    -.3276091    .2865331
             |
       _cons |   .1765807   .1504824     1.17   0.241     -.119432    .4725935
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         796           0        796        796

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,290    .2838193    .5060294          0   3.517623
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(18, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9711
                                                    Adj R-squared     = 0.9605
                                                    Root MSE          = 0.1017

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0089519   .0199294     0.45   0.654    -.0302511     .048155
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0092251   .0234069     0.39   0.694    -.0368184    .0552686
          4  |    .101008   .0528242     1.91   0.057     -.002902     .204918
          5  |   .0597351   .0512248     1.17   0.244    -.0410287    .1604989
          6  |   .1710257   .0848664     2.02   0.045     .0040857    .3379657
          7  |   .0336193   .0407595     0.82   0.410    -.0465583     .113797
          8  |   .0469382   .0407595     1.15   0.250    -.0332395    .1271159
          9  |   .0942005   .0552493     1.71   0.089    -.0144799     .202881
         10  |          0  (omitted)
         11  |   .0968982   .0612404     1.58   0.115    -.0235672    .2173636
         12  |   .0167825   .0210438     0.80   0.426    -.0246127    .0581777
             |
  year_group |
          5  |  -.1170791    .019317    -6.06   0.000    -.1550774   -.0790807
          6  |   .0470219   .0696638     0.67   0.500    -.0900132    .1840569
          7  |  -.0305654   .0443669    -0.69   0.491    -.1178392    .0567083
          8  |  -.0371135    .038874    -0.95   0.340    -.1135823    .0393552
          9  |   -.031214   .0389865    -0.80   0.424     -.107904     .045476
         10  |  -.0649811    .039429    -1.65   0.100    -.1425415    .0125793
         11  |  -.0576522   .0441683    -1.31   0.193    -.1445353     .029231
         12  |   -.052193   .0418304    -1.25   0.213    -.1344772    .0300913
         13  |  -.0490346   .0463678    -1.06   0.291    -.1402444    .0421752
             |
       _cons |   .3142585   .0533568     5.89   0.000     .2093008    .4192162
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         796           0        796        796

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,290    .3148237    .5006562          0   3.183877
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(18, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9463
                                                    Adj R-squared     = 0.9266
                                                    Root MSE          = 0.1328

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0088289   .0301629     0.29   0.770    -.0505043    .0681622
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0162053   .0872258     0.19   0.853    -.1553759    .1877864
          4  |   .0308722   .0217199     1.42   0.156    -.0118528    .0735971
          5  |   .0413746   .0261327     1.58   0.114    -.0100307      .09278
          6  |   .0382731   .0255511     1.50   0.135    -.0119882    .0885345
          7  |   .0417123   .0296792     1.41   0.161    -.0166695    .1000941
          8  |   .0417123   .0296792     1.41   0.161    -.0166694    .1000941
          9  |   .0425389   .0345338     1.23   0.219    -.0253924    .1104701
         10  |          0  (omitted)
         11  |   .0259607   .0232935     1.11   0.266    -.0198597    .0717812
         12  |  -.0300259   .0526922    -0.57   0.569    -.1336762    .0736245
             |
  year_group |
          5  |  -.2071473   .0233955    -8.85   0.000    -.2531683   -.1611262
          6  |  -.5272939    .116233    -4.54   0.000     -.755935   -.2986528
          7  |   -.681465   .1230342    -5.54   0.000    -.9234846   -.4394454
          8  |  -.6554595   .1181613    -5.55   0.000    -.8878936   -.4230253
          9  |  -.6388248    .116779    -5.47   0.000    -.8685399   -.4091098
         10  |  -.6237899   .1139474    -5.47   0.000     -.847935   -.3996448
         11  |   -.581809   .1157802    -5.03   0.000    -.8095594   -.3540587
         12  |  -.5814468   .1153844    -5.04   0.000    -.8084184   -.3544751
         13  |  -.5610652   .1160971    -4.83   0.000    -.7894388   -.3326916
             |
       _cons |   .8901811   .1128671     7.89   0.000     .6681612    1.112201
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         796           0        796        796

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,290    .2982129    .4829463          0   3.183605
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    328
                                                    F(18, 334)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8447
                                                    Adj R-squared     = 0.7877
                                                    Root MSE          = 0.2342

                        (Std. err. adjusted for 335 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0491597   .0471943     1.04   0.298    -.0436758    .1419953
             |
 scale_group |
          2  |          0  (omitted)
          3  |     .19407   .1403847     1.38   0.168    -.0820796    .4702196
          4  |   .0484474   .0378007     1.28   0.201      -.02591    .1228048
          5  |   .0264188   .0393912     0.67   0.503    -.0510673    .1039048
          6  |   .1199269   .0899169     1.33   0.183    -.0569478    .2968017
          7  |   .0141703    .046154     0.31   0.759    -.0766189    .1049594
          8  |  -.0132926    .046154    -0.29   0.774    -.1040818    .0774965
          9  |   .1466102   .0613619     2.39   0.017     .0259057    .2673146
         10  |          0  (omitted)
         11  |   .0831056   .0354884     2.34   0.020     .0132967    .1529144
         12  |   .1055399   .0491102     2.15   0.032     .0089356    .2021442
             |
  year_group |
          5  |  -.0906542   .0214098    -4.23   0.000    -.1327692   -.0485392
          6  |   .0519848    .156114     0.33   0.739    -.2551058    .3590755
          7  |  -.2062194    .116838    -1.77   0.078    -.4360506    .0236117
          8  |  -.2157063   .0894148    -2.41   0.016    -.3915934   -.0398191
          9  |  -.2601681   .0771846    -3.37   0.001    -.4119974   -.1083389
         10  |   -.222435   .0799885    -2.78   0.006    -.3797796   -.0650903
         11  |  -.2394411   .0826339    -2.90   0.004    -.4019897   -.0768925
         12  |  -.2523842   .0805944    -3.13   0.002    -.4109208   -.0938476
         13  |  -.2026683   .0857917    -2.36   0.019    -.3714285   -.0339081
             |
       _cons |   .4853221   .0811567     5.98   0.000     .3256794    .6449648
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         796           0        796        796

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,290    .3417035    .5048707          0   2.934673

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8116
                                                    Adj R-squared     = 0.7390
                                                    Root MSE          = 0.2056

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0528429   .0518087     1.02   0.309    -.0490894    .1547752
             |
 scale_group |
          2  |   .0149492   .0996111     0.15   0.881    -.1810331    .2109316
          3  |          0  (omitted)
          4  |   .1780203   .0533835     3.33   0.001     .0729895    .2830512
          5  |   .0938594   .0395084     2.38   0.018     .0161277    .1715912
          6  |   .1628261   .0777595     2.09   0.037     .0098362     .315816
          7  |   .2977317   .0687317     4.33   0.000     .1625038    .4329596
          8  |   .3038986   .0687317     4.42   0.000     .1686707    .4391265
          9  |   .1017573   .0587695     1.73   0.084    -.0138702    .2173848
         10  |          0  (empty)
         11  |   .2088569    .077389     2.70   0.007      .056596    .3611179
         12  |   .0756203   .0899759     0.84   0.401     -.101405    .2526456
             |
  year_group |
          5  |   .0113914   .0009872    11.54   0.000     .0094492    .0133337
          6  |  -.2195558   .1671012    -1.31   0.190    -.5483233    .1092117
          7  |   .0138546   .0975331     0.14   0.887    -.1780393    .2057485
          8  |   .0075411   .0877869     0.09   0.932    -.1651774    .1802596
          9  |   .0601622   .0803329     0.75   0.454    -.0978909    .2182153
         10  |   .1120301   .0847566     1.32   0.187    -.0547264    .2787866
         11  |   .1907107    .100026     1.91   0.057     -.006088    .3875093
         12  |   .1661139   .0986358     1.68   0.093    -.0279497    .3601774
         13  |   .1435217   .0994621     1.44   0.150    -.0521676     .339211
             |
       _cons |  -.0512838   .1024242    -0.50   0.617     -.252801    .1502334
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,212    .2226405    .4063296          0   2.880098
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8108
                                                    Adj R-squared     = 0.7379
                                                    Root MSE          = 0.2286

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0138899   .0556757     0.25   0.803    -.0956507    .1234305
             |
 scale_group |
          2  |   .0702836   .0678617     1.04   0.301    -.0632326    .2037998
          3  |          0  (omitted)
          4  |   .1292405   .0408321     3.17   0.002     .0489043    .2095766
          5  |   .0869204   .0354404     2.45   0.015     .0171924    .1566485
          6  |   .0970746    .058867     1.65   0.100    -.0187448     .212894
          7  |   .1178964   .0551593     2.14   0.033     .0093717     .226421
          8  |   .1178964   .0551593     2.14   0.033     .0093717     .226421
          9  |   .0769717    .042092     1.83   0.068    -.0058434    .1597867
         10  |          0  (empty)
         11  |   .0948135   .0575029     1.65   0.100    -.0183219     .207949
         12  |   .1241895   .0573124     2.17   0.031     .0114286    .2369503
             |
  year_group |
          5  |  -.2492221   5.86e-08 -4.3e+06   0.000    -.2492222    -.249222
          6  |  -.2337381   .1384097    -1.69   0.092    -.5060557    .0385796
          7  |   -.205877   .0902047    -2.28   0.023    -.3833524   -.0284015
          8  |   -.143279   .0840549    -1.70   0.089     -.308655     .022097
          9  |  -.1564309   .0823203    -1.90   0.058    -.3183941    .0055324
         10  |  -.0764554   .0819592    -0.93   0.352    -.2377081    .0847973
         11  |  -.0333776   .0913918    -0.37   0.715    -.2131886    .1464335
         12  |  -.1224508   .0871257    -1.41   0.161    -.2938686    .0489669
         13  |  -.0141038    .104698    -0.13   0.893    -.2200946     .191887
             |
       _cons |   .2346994   .0946384     2.48   0.014     .0485008    .4208981
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,212    .2464911     .449955          0   2.698623
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8174
                                                    Adj R-squared     = 0.7470
                                                    Root MSE          = 0.2086

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0114007   .0381812    -0.30   0.765    -.0865212    .0637198
             |
 scale_group |
          2  |  -.1398532   .0623107    -2.24   0.025    -.2624481   -.0172584
          3  |          0  (omitted)
          4  |   .1100787   .0454397     2.42   0.016     .0206772    .1994802
          5  |   .0174526   .0359325     0.49   0.628    -.0532438     .088149
          6  |   .0026729    .059708     0.04   0.964    -.1148011    .1201469
          7  |  -.0084329   .0519134    -0.16   0.871    -.1105712    .0937053
          8  |  -.0084329   .0519134    -0.16   0.871    -.1105712    .0937053
          9  |   .1347336   .0605149     2.23   0.027      .015672    .2537952
         10  |          0  (empty)
         11  |   .1001698   .0653146     1.53   0.126    -.0283352    .2286747
         12  |  -.1066003   .0447334    -2.38   0.018    -.1946121   -.0185885
             |
  year_group |
          5  |   .1441788   .0331029     4.36   0.000     .0790496    .2093079
          6  |  -.0269926   .0891294    -0.30   0.762    -.2023525    .1483673
          7  |  -.0861601   .0784278    -1.10   0.273     -.240465    .0681448
          8  |  -.0642084   .0740369    -0.87   0.386    -.2098743    .0814574
          9  |  -.0699428   .0621153    -1.13   0.261    -.1921532    .0522676
         10  |  -.0467898   .0634657    -0.74   0.462    -.1716569    .0780774
         11  |   -.055363   .0690465    -0.80   0.423    -.1912103    .0804844
         12  |  -.0649679   .0692247    -0.94   0.349    -.2011658      .07123
         13  |  -.0526427   .0693189    -0.76   0.448    -.1890259    .0837404
             |
       _cons |   .3052628   .0773087     3.95   0.000     .1531598    .4573658
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,212    .2703882    .4156207          0   2.658879
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6710
                                                    Adj R-squared     = 0.5441
                                                    Root MSE          = 0.1660

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0042855   .0302851    -0.14   0.888    -.0638707    .0552996
             |
 scale_group |
          2  |   .1214249   .0650288     1.87   0.063    -.0065177    .2493675
          3  |          0  (omitted)
          4  |  -.0003818   .0353989    -0.01   0.991    -.0700282    .0692646
          5  |    .004679   .0271886     0.17   0.863    -.0488139    .0581719
          6  |  -.0218993   .0419045    -0.52   0.602    -.1043453    .0605467
          7  |   -.063479   .0371533    -1.71   0.089    -.1365772    .0096193
          8  |   -.063479   .0371533    -1.71   0.089    -.1365772    .0096193
          9  |  -.0656255   .0409985    -1.60   0.110    -.1462891    .0150381
         10  |          0  (empty)
         11  |   .0003211   .0416836     0.01   0.994    -.0816904    .0823325
         12  |   .0457482   .0319716     1.43   0.153    -.0171553    .1086516
             |
  year_group |
          5  |   .0196026   .0022774     8.61   0.000     .0151219    .0240834
          6  |   .1180813   .0516465     2.29   0.023     .0164681    .2196945
          7  |   .0625408   .0546649     1.14   0.253     -.045011    .1700925
          8  |   .0515986   .0426406     1.21   0.227    -.0322958    .1354929
          9  |  -.0006241   .0332765    -0.02   0.985    -.0660947    .0648466
         10  |   .0040551   .0341418     0.12   0.906     -.063118    .0712282
         11  |   .0303101   .0398761     0.76   0.448    -.0481452    .1087653
         12  |   .0087316   .0369914     0.24   0.814    -.0640481    .0815113
         13  |  -.0043355   .0415455    -0.10   0.917    -.0860753    .0774042
             |
       _cons |   .0912971   .0497484     1.84   0.067    -.0065817     .189176
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,212    .1294749    .2747535          0   2.323174
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7722
                                                    Adj R-squared     = 0.6844
                                                    Root MSE          = 0.2766

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0411242   .0516811     0.80   0.427     -.060557    .1428055
             |
 scale_group |
          2  |  -.1999968   .1036591    -1.93   0.055    -.4039436      .00395
          3  |          0  (omitted)
          4  |    -.04399    .073745    -0.60   0.551    -.1890814    .1011014
          5  |   .0227543   .0588991     0.39   0.700    -.0931283    .1386368
          6  |  -.0597604   .0929659    -0.64   0.521    -.2426686    .1231477
          7  |  -.0520381   .0741816    -0.70   0.484    -.1979885    .0939124
          8  |  -.0234795   .0741816    -0.32   0.752    -.1694299     .122471
          9  |   .0589687   .1354591     0.44   0.664    -.2075439    .3254812
         10  |          0  (empty)
         11  |  -.0989884   .0866954    -1.14   0.254    -.2695595    .0715827
         12  |  -.1084466   .0763341    -1.42   0.156    -.2586321    .0417388
             |
  year_group |
          5  |   .0774747   2.05e-08  3.8e+06   0.000     .0774746    .0774747
          6  |    .826271   .3359711     2.46   0.014     .1652561    1.487286
          7  |  -.2160255   .2154492    -1.00   0.317    -.6399167    .2078656
          8  |  -.1781074   .1831604    -0.97   0.332    -.5384709    .1822562
          9  |  -.1164804   .1698199    -0.69   0.493    -.4505969    .2176362
         10  |  -.1478435   .1742925    -0.85   0.397    -.4907597    .1950726
         11  |  -.3077199   .1788006    -1.72   0.086    -.6595058    .0440659
         12  |  -.2631259   .1775785    -1.48   0.139    -.6125074    .0862555
         13  |  -.2408362   .1780242    -1.35   0.177    -.5910945    .1094222
             |
       _cons |   .5137033   .1860972     2.76   0.006     .1475616     .879845
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,212    .2746002    .5012289          0   4.186388
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9730
                                                    Adj R-squared     = 0.9625
                                                    Root MSE          = 0.0951

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0021146   .0157354    -0.13   0.893    -.0330735    .0288444
             |
 scale_group |
          2  |   .0012909   .0244421     0.05   0.958    -.0467984    .0493802
          3  |          0  (omitted)
          4  |    .006064   .0236281     0.26   0.798    -.0404237    .0525516
          5  |  -.0094234   .0150866    -0.62   0.533    -.0391059    .0202591
          6  |  -.0207006   .0330024    -0.63   0.531     -.085632    .0442309
          7  |  -.0429288   .0339205    -1.27   0.207    -.1096665    .0238088
          8  |  -.0390116   .0339205    -1.15   0.251    -.1057493     .027726
          9  |   .0192582   .0261089     0.74   0.461    -.0321105     .070627
         10  |          0  (empty)
         11  |   .0191625   .0355181     0.54   0.590    -.0507184    .0890434
         12  |  -.0151466   .0118941    -1.27   0.204    -.0385479    .0082547
             |
  year_group |
          5  |  -.1146185   .0013411   -85.47   0.000    -.1172571     -.11198
          6  |  -.0207744   .0754355    -0.28   0.783     -.169192    .1276432
          7  |  -.0328554   .0515589    -0.64   0.524    -.1342964    .0685855
          8  |   -.027227   .0451091    -0.60   0.547     -.115978     .061524
          9  |  -.0430166   .0434422    -0.99   0.323    -.1284881    .0424549
         10  |  -.0513828   .0436756    -1.18   0.240    -.1373135     .034548
         11  |    -.05097   .0477805    -1.07   0.287     -.144977    .0430369
         12  |  -.0281453   .0497136    -0.57   0.572    -.1259557     .069665
         13  |  -.0336009   .0511823    -0.66   0.512    -.1343008    .0670991
             |
       _cons |   .3488573   .0486459     7.17   0.000     .2531477    .4445669
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,212    .2909474    .4807074          0   3.030572
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(16, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9447
                                                    Adj R-squared     = 0.9233
                                                    Root MSE          = 0.1320

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0293667   .0280509    -1.05   0.296    -.0845562    .0258227
             |
 scale_group |
          2  |  -.1871487   .0845561    -2.21   0.028    -.3535108   -.0207866
          3  |          0  (omitted)
          4  |   .0324686   .0298779     1.09   0.278    -.0263155    .0912527
          5  |   .0223497   .0234214     0.95   0.341    -.0237314    .0684308
          6  |   .0535464   .0366545     1.46   0.145    -.0185705    .1256632
          7  |   .0150857   .0315031     0.48   0.632     -.046896    .0770674
          8  |   .0150857   .0315031     0.48   0.632     -.046896    .0770674
          9  |   .0066213   .0440056     0.15   0.880    -.0799587    .0932014
         10  |          0  (empty)
         11  |   .0583545   .0438593     1.33   0.184    -.0279376    .1446467
         12  |  -.1070991    .066288    -1.62   0.107    -.2375192    .0233209
             |
  year_group |
          5  |   -.165928          .        .       .            .           .
          6  |   -.361477   .1037844    -3.48   0.001    -.5656704   -.1572837
          7  |   -.565258   .0764908    -7.39   0.000    -.7157517   -.4147642
          8  |  -.5275832   .0653348    -8.08   0.000    -.6561278   -.3990386
          9  |  -.5217483   .0598206    -8.72   0.000    -.6394439   -.4040528
         10  |   -.482854   .0613803    -7.87   0.000    -.6036183   -.3620897
         11  |  -.4635993     .06234    -7.44   0.000    -.5862518   -.3409467
         12  |  -.4829855   .0622292    -7.76   0.000    -.6054199    -.360551
         13  |  -.4824747   .0638974    -7.55   0.000    -.6081913   -.3567581
             |
       _cons |   .8079088   .0694395    11.63   0.000     .6712883    .9445293
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,212    .2838417    .4729359          0   3.105856
(778 missing values generated)
(778 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,212
Absorbed variable: factor_pair                      No. of categories =    319
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7856
                                                    Adj R-squared     = 0.7029
                                                    Root MSE          = 0.2761

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0805489   .0544232     1.48   0.140    -.0265275    .1876253
             |
 scale_group |
          2  |  -.1978318   .0749882    -2.64   0.009    -.3453691   -.0502944
          3  |          0  (omitted)
          4  |   .1904368   .0690773     2.76   0.006     .0545289    .3263447
          5  |   .1925223   .0498737     3.86   0.000     .0943972    .2906475
          6  |   .2765549   .0848861     3.26   0.001     .1095435    .4435663
          7  |   .2531484   .0775394     3.26   0.001     .1005915    .4057054
          8  |   .2474407   .0775394     3.19   0.002     .0948837    .3999976
          9  |    .357513   .0999073     3.58   0.000     .1609477    .5540782
         10  |          0  (empty)
         11  |   .3648989   .1058956     3.45   0.001     .1565519    .5732459
         12  |  -.0137521    .057765    -0.24   0.812    -.1274033    .0998992
             |
  year_group |
          5  |  -.2433206   .0005221  -466.04   0.000    -.2443478   -.2422934
          6  |   .0878297   .2113647     0.42   0.678    -.3280252    .5036846
          7  |  -.3410121   .1793828    -1.90   0.058    -.6939433    .0119191
          8  |  -.3562141   .1738369    -2.05   0.041    -.6982339   -.0141942
          9  |  -.4315273   .1623823    -2.66   0.008    -.7510106    -.112044
         10  |  -.3770243   .1617928    -2.33   0.020    -.6953477   -.0587009
         11  |   -.432031   .1649839    -2.62   0.009    -.7566328   -.1074292
         12  |   -.401691   .1664533    -2.41   0.016    -.7291838   -.0741981
         13  |  -.3901778   .1684327    -2.32   0.021    -.7215651   -.0587906
             |
       _cons |     .55854   .1725803     3.24   0.001     .2189926    .8980874
------------------------------------------------------------------------------
(778 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,212         753           0        753        753

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,212    .3407436    .5087323          0   3.016666

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(668 missing values generated)
(668 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,322
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(0, 329)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7019
                                                    Adj R-squared     = 0.6026
                                                    Root MSE          = 0.2601

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0418554          .        .       .            .           .
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0432872          .        .       .            .           .
          3  |          0  (omitted)
          4  |  -.0310848          .        .       .            .           .
          5  |   -.085395          .        .       .            .           .
          6  |  -.0523094          .        .       .            .           .
          7  |  -.0060228          .        .       .            .           .
          8  |          0  (omitted)
          9  |  -.1194282          .        .       .            .           .
         10  |   .0735457          .        .       .            .           .
         11  |   .0263275          .        .       .            .           .
         12  |   .0762134          .        .       .            .           .
             |
  year_group |
          5  |    .033109          .        .       .            .           .
          6  |   .0437154          .        .       .            .           .
          7  |    .204211          .        .       .            .           .
          8  |   .1874555          .        .       .            .           .
          9  |    .269233          .        .       .            .           .
         10  |   .2917607          .        .       .            .           .
         11  |   .3523575          .        .       .            .           .
         12  |   .3310629          .        .       .            .           .
         13  |   .3395204          .        .       .            .           .
             |
       _cons |   -.031174          .        .       .            .           .
------------------------------------------------------------------------------
(668 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,322         793           0        793        793

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,322    .2236698    .4030379          0   3.515157
(668 missing values generated)
(668 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,322
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(0, 329)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8146
                                                    Adj R-squared     = 0.7529
                                                    Root MSE          = 0.2183

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0132411          .        .       .            .           .
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0012685          .        .       .            .           .
          3  |          0  (omitted)
          4  |  -.0054134          .        .       .            .           .
          5  |  -.0393444          .        .       .            .           .
          6  |  -.0572358          .        .       .            .           .
          7  |  -2.98e-08          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0111662          .        .       .            .           .
         10  |   .0421959          .        .       .            .           .
         11  |  -.0230821          .        .       .            .           .
         12  |   .0578732          .        .       .            .           .
             |
  year_group |
          5  |  -.3601452          .        .       .            .           .
          6  |  -.3705437          .        .       .            .           .
          7  |  -.3790472          .        .       .            .           .
          8  |   -.291286          .        .       .            .           .
          9  |  -.2659764          .        .       .            .           .
         10  |  -.1800726          .        .       .            .           .
         11  |   -.115025          .        .       .            .           .
         12  |   -.205162          .        .       .            .           .
         13  |  -.0713043          .        .       .            .           .
             |
       _cons |     .43678          .        .       .            .           .
------------------------------------------------------------------------------
(668 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,322         793           0        793        793

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,322     .232826    .4291401          0    3.21844
(668 missing values generated)
(668 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,322
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7890
                                                    Adj R-squared     = 0.7187
                                                    Root MSE          = 0.2044

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0479964   .0451949     1.06   0.289    -.0409111    .1369039
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.1122426   .0763909    -1.47   0.143    -.2625189    .0380337
          3  |          0  (omitted)
          4  |   .1079868   .0376903     2.87   0.004     .0338424    .1821313
          5  |   .0668534   .0322618     2.07   0.039     .0033881    .1303188
          6  |   .0396011   .0336894     1.18   0.241    -.0266727    .1058748
          7  |          0  (omitted)
          8  |   1.15e-15          .        .       .            .           .
          9  |   .0779035   .0582856     1.34   0.182     -.036756    .1925631
         10  |   .2233909   .0441571     5.06   0.000      .136525    .3102568
         11  |   .0866185   .0385276     2.25   0.025      .010827    .1624099
         12  |  -.0724951   .0528267    -1.37   0.171    -.1764157    .0314256
             |
  year_group |
          5  |   .0942523   .0524613     1.80   0.073    -.0089496    .1974543
          6  |  -.1105698   .0865143    -1.28   0.202    -.2807608    .0596213
          7  |  -.1873709   .0981186    -1.91   0.057    -.3803899     .005648
          8  |  -.1602578   .0766714    -2.09   0.037    -.3110858   -.0094298
          9  |  -.2628604   .0622569    -4.22   0.000    -.3853323   -.1403886
         10  |  -.2756771   .0524613    -5.25   0.000    -.3788791   -.1724752
         11  |   -.286923   .0587138    -4.89   0.000    -.4024248   -.1714212
         12  |  -.2637757   .0604396    -4.36   0.000    -.3826725   -.1448789
         13  |  -.2618413   .0617974    -4.24   0.000    -.3834092   -.1402734
             |
       _cons |   .4421703   .0606749     7.29   0.000     .3228106    .5615301
------------------------------------------------------------------------------
(668 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,322         793           0        793        793

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,322     .245065    .3760357          0   2.344731
(668 missing values generated)
(668 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,322
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6386
                                                    Adj R-squared     = 0.5183
                                                    Root MSE          = 0.2006

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0212766   .0379933    -0.56   0.576     -.096017    .0534637
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0693554   .1589664    -0.44   0.663    -.3820742    .2433634
          3  |          0  (omitted)
          4  |   .1155138   .0389311     2.97   0.003     .0389285    .1920991
          5  |   .0783869   .0373711     2.10   0.037     .0048704    .1519035
          6  |   .1493705   .0446201     3.35   0.001     .0615939    .2371472
          7  |   2.41e-15          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0191422   .0420864     0.45   0.650    -.0636502    .1019345
         10  |   .0280866   .0412302     0.68   0.496    -.0530215    .1091946
         11  |   .1133482   .0366812     3.09   0.002     .0411888    .1855075
         12  |  -.1490942   .1574984    -0.95   0.345     -.458925    .1607367
             |
  year_group |
          5  |   .0514531   .2073552     0.25   0.804    -.3564561    .4593624
          6  |  -.3417171   .2221317    -1.54   0.125    -.7786947    .0952605
          7  |  -.3806342   .2266838    -1.68   0.094    -.8265668    .0652984
          8  |  -.4617108   .2105945    -2.19   0.029    -.8759925   -.0474291
          9  |  -.5286314   .2083051    -2.54   0.012    -.9384092   -.1188535
         10  |  -.5249224   .2073552    -2.53   0.012    -.9328316   -.1170131
         11  |  -.5379933   .2086781    -2.58   0.010     -.948505   -.1274816
         12  |  -.5350702   .2083912    -2.57   0.011    -.9450174   -.1251229
         13  |  -.5368778   .2087801    -2.57   0.011      -.94759   -.1261655
             |
       _cons |   .6067175   .2148581     2.82   0.005     .1840485    1.029386
------------------------------------------------------------------------------
(668 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,322         793           0        793        793

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,322    .1115176     .271055          0   3.089697
(668 missing values generated)
(668 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,322
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8004
                                                    Adj R-squared     = 0.7339
                                                    Root MSE          = 0.2642

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0609564   .0485821     1.25   0.210    -.0346144    .1565272
             |
 scale_group |
          1  |          0  (empty)
          2  |   -.211106    .075783    -2.79   0.006    -.3601864   -.0620257
          3  |          0  (omitted)
          4  |   .0258107   .0534403     0.48   0.629     -.079317    .1309384
          5  |   .0799342   .0574965     1.39   0.165    -.0331731    .1930414
          6  |  -.0720271   .0829875    -0.87   0.386    -.2352803     .091226
          7  |  -.0004327   4.61e-08 -9381.22   0.000    -.0004328   -.0004326
          8  |          0  (omitted)
          9  |  -.0141846   .0709073    -0.20   0.842    -.1536735    .1253043
         10  |  -.1112051   .0640685    -1.74   0.084    -.2372407    .0148305
         11  |  -.0691159   .0505892    -1.37   0.173     -.168635    .0304032
         12  |  -.0670509   .0449966    -1.49   0.137    -.1555682    .0214665
             |
  year_group |
          5  |   .1105226   .1009744     1.09   0.275    -.0881143    .3091595
          6  |   .7139843   .3228757     2.21   0.028     .0788231    1.349146
          7  |   .1496014   .1386889     1.08   0.282    -.1232276    .4224304
          8  |   .2947494   .1312843     2.25   0.025     .0364869     .553012
          9  |   .3290648   .1107442     2.97   0.003     .1112088    .5469208
         10  |    .329534   .1009744     3.26   0.001     .1308971    .5281709
         11  |   .1916333    .107843     1.78   0.076    -.0205155    .4037822
         12  |   .1997356   .1075337     1.86   0.064    -.0118048     .411276
         13  |   .1983537   .1125477     1.76   0.079    -.0230503    .4197577
             |
       _cons |   .0268778   .1062038     0.25   0.800    -.1820464     .235802
------------------------------------------------------------------------------
(668 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,322         793           0        793        793

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,322    .2887405    .5086896          0    3.99317
(668 missing values generated)
(668 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,322
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9790
                                                    Adj R-squared     = 0.9720
                                                    Root MSE          = 0.0850

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0065511   .0164034     0.40   0.690    -.0257177      .03882
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0204179   .0216505    -0.94   0.346    -.0630088    .0221729
          3  |          0  (omitted)
          4  |   .0469378   .0231836     2.02   0.044      .001331    .0925447
          5  |   .0297678   .0221103     1.35   0.179    -.0137276    .0732631
          6  |   .0142054   .0270473     0.53   0.600     -.039002    .0674128
          7  |  -.0121889          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0819266   .0352872     2.32   0.021     .0125096    .1513436
         10  |   .0209482   .0245022     0.85   0.393    -.0272525     .069149
         11  |   .0420875   .0198003     2.13   0.034     .0031364    .0810386
         12  |  -.0076791   .0122341    -0.63   0.531     -.031746    .0163877
             |
  year_group |
          5  |  -.1177024   .0317548    -3.71   0.000    -.1801704   -.0552344
          6  |  -.0298553    .042728    -0.70   0.485    -.1139098    .0541992
          7  |  -.0082161   .0450512    -0.18   0.855    -.0968408    .0804086
          8  |  -.0317742   .0345221    -0.92   0.358    -.0996861    .0361376
          9  |  -.0240389   .0360979    -0.67   0.506    -.0950507    .0469728
         10  |  -.0539768   .0317548    -1.70   0.090    -.1164448    .0084913
         11  |   -.050616   .0357606    -1.42   0.158    -.1209643    .0197323
         12  |  -.0551927   .0336604    -1.64   0.102    -.1214095     .011024
         13  |  -.0469799   .0380343    -1.24   0.218     -.121801    .0278413
             |
       _cons |   .3452278   .0373411     9.25   0.000     .2717703    .4186853
------------------------------------------------------------------------------
(668 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,322         793           0        793        793

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,322    .3088417    .4875748          0   2.300113
(668 missing values generated)
(668 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,322
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9493
                                                    Adj R-squared     = 0.9324
                                                    Root MSE          = 0.1265

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0520692   .0262915    -1.98   0.048    -.1037899   -.0003485
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.2920388    .077442    -3.77   0.000    -.4443828   -.1396948
          3  |          0  (omitted)
          4  |   .0305348    .019033     1.60   0.110    -.0069069    .0679766
          5  |   .0313728   .0200036     1.57   0.118    -.0079783     .070724
          6  |   .0033879   .0304937     0.11   0.912    -.0565993    .0633751
          7  |          0  (omitted)
          8  |   9.93e-09   2.63e-08     0.38   0.706    -4.18e-08    6.17e-08
          9  |   .0336659   .0265649     1.27   0.206    -.0185926    .0859244
         10  |   -.010766   .0240426    -0.45   0.655    -.0580627    .0365306
         11  |   .0391802   .0301609     1.30   0.195    -.0201523    .0985127
         12  |  -.1623991   .0654831    -2.48   0.014    -.2912175   -.0335807
             |
  year_group |
          5  |  -.1805985   .0359627    -5.02   0.000    -.2513444   -.1098526
          6  |  -.4408316   .1342111    -3.28   0.001    -.7048517   -.1768115
          7  |  -.6288638   .0528946   -11.89   0.000    -.7329182   -.5248095
          8  |  -.5843372   .0417757   -13.99   0.000    -.6665184    -.502156
          9  |  -.5618946   .0390164   -14.40   0.000    -.6386476   -.4851415
         10  |  -.5527869   .0359627   -15.37   0.000    -.6235328    -.482041
         11  |  -.5342895   .0396982   -13.46   0.000    -.6123839   -.4561951
         12  |  -.5287683   .0411528   -12.85   0.000    -.6097241   -.4478125
         13  |  -.5135214   .0466029   -11.02   0.000    -.6051988   -.4218441
             |
       _cons |   .9071002   .0437407    20.74   0.000     .8210535    .9931469
------------------------------------------------------------------------------
(668 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,322         793           0        793        793

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,322    .2884766    .4674552          0   2.592951
(668 missing values generated)
(668 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,322
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8064
                                                    Adj R-squared     = 0.7420
                                                    Root MSE          = 0.2661

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .000379   .0517192     0.01   0.994    -.1013631    .1021211
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.1777599   .1307088    -1.36   0.175    -.4348904    .0793705
          3  |          0  (omitted)
          4  |   .0515997   .0537126     0.96   0.337    -.0540637    .1572632
          5  |   .0426645   .0527712     0.81   0.419    -.0611471     .146476
          6  |  -.0494882   .0626094    -0.79   0.430    -.1726534     .073677
          7  |   .0022248          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .1622559   .0668176     2.43   0.016     .0308123    .2936995
         10  |  -.1471255   .0653306    -2.25   0.025    -.2756438   -.0186072
         11  |   .0216525   .0586284     0.37   0.712    -.0936813    .1369864
         12  |   .0040189   .1226981     0.03   0.974    -.2373528    .2453906
             |
  year_group |
          5  |  -.1185397   .0261112    -4.54   0.000    -.1699058   -.0671737
          6  |   .0901482   .1383345     0.65   0.515    -.1819836    .3622799
          7  |  -.2037154   .1222074    -1.67   0.096    -.4441218     .036691
          8  |  -.2437234   .0678916    -3.59   0.000    -.3772799   -.1101669
          9  |  -.2590326    .043854    -5.91   0.000    -.3453022    -.172763
         10  |  -.2443491   .0261112    -9.36   0.000    -.2957152   -.1929831
         11  |  -.2789035   .0441378    -6.32   0.000    -.3657313   -.1920756
         12  |   -.287623   .0462707    -6.22   0.000    -.3786466   -.1965993
         13  |  -.2648897   .0584529    -4.53   0.000    -.3798783   -.1499011
             |
       _cons |   .5851938   .0599164     9.77   0.000     .4673263    .7030613
------------------------------------------------------------------------------
(668 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,322         793           0        793        793

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,322    .3383467    .5103864          0    3.01718

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(18, 316)        =  24.50
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7640
                                                    Adj R-squared     = 0.6744
                                                    Root MSE          = 0.2535

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .026877   .0582097     0.46   0.645    -.0876505    .1414045
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0847138   .1143977     0.74   0.460    -.1403635    .3097911
          4  |   .1159973   .0358742     3.23   0.001     .0454148    .1865798
          5  |   .0099059   .0491638     0.20   0.840     -.086824    .1066357
          6  |    .089861   .0702067     1.28   0.202    -.0482706    .2279926
          7  |   .1311822   .0628555     2.09   0.038     .0075141    .2548503
          8  |          0  (empty)
          9  |   .0037004   .0560988     0.07   0.947     -.106674    .1140748
         10  |          0  (empty)
         11  |   .1684478   .0627853     2.68   0.008     .0449177    .2919779
         12  |   .0231862    .056277     0.41   0.681    -.0875387    .1339112
             |
  year_group |
          5  |   .0319045   .0016437    19.41   0.000     .0286704    .0351386
          6  |  -.3138928    .169466    -1.85   0.065     -.647317    .0195315
          7  |   .2643679   .1385093     1.91   0.057    -.0081491     .536885
          8  |   .0967569   .1095302     0.88   0.378    -.1187437    .3122575
          9  |   .1369424   .1139519     1.20   0.230    -.0872579    .3611427
         10  |   .1577657   .1142552     1.38   0.168    -.0670313    .3825627
         11  |     .23914   .1248717     1.92   0.056     -.006545     .484825
         12  |   .2557715   .1213811     2.11   0.036     .0169542    .4945888
         13  |   .1828224    .125354     1.46   0.146    -.0638114    .4294563
             |
       _cons |  -.0262811   .1173204    -0.22   0.823     -.257109    .2045468
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,226    .2486987     .450506          0    3.46274
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,226
Absorbed variable: factor_pair                    No. of categories =      320
                                                  F(18, 316)        = 4.13e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8132
                                                  Adj R-squared     =   0.7424
                                                  Root MSE          =   0.2375

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0524035    .052011     1.01   0.314    -.0499282    .1547352
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0246681   .0553144     0.45   0.656    -.0841629    .1334991
          4  |   .0976117   .0256587     3.80   0.000     .0471281    .1480952
          5  |   .0543503   .0366839     1.48   0.139    -.0178252    .1265259
          6  |    .052323    .067794     0.77   0.441    -.0810616    .1857076
          7  |   .1062838   .0491249     2.16   0.031     .0096306     .202937
          8  |          0  (empty)
          9  |   .0611338   .0281028     2.18   0.030     .0058415    .1164261
         10  |          0  (empty)
         11  |   .0969073   .0540895     1.79   0.074    -.0095137    .2033283
         12  |   .0199027   .0359435     0.55   0.580    -.0508161    .0906215
             |
  year_group |
          5  |  -.4384305   5.08e-08 -8.6e+06   0.000    -.4384306   -.4384304
          6  |  -.2782756   .1616128    -1.72   0.086    -.5962487    .0396975
          7  |  -.4258147   .0895532    -4.75   0.000    -.6020104   -.2496189
          8  |  -.3458707   .0801699    -4.31   0.000    -.5036049   -.1881366
          9  |   -.324572   .0814074    -3.99   0.000    -.4847411   -.1644029
         10  |  -.2612165    .080669    -3.24   0.001    -.4199328   -.1025002
         11  |  -.2045199   .0925219    -2.21   0.028    -.3865566   -.0224832
         12  |  -.2962894   .0881125    -3.36   0.001    -.4696507   -.1229282
         13  |  -.1478491   .1087364    -1.36   0.175    -.3617879    .0660897
             |
       _cons |   .4335879   .0913219     4.75   0.000     .2539121    .6132636
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,226    .2490232    .4551515          0    3.43862
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(18, 316)        =   4.26
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7679
                                                    Adj R-squared     = 0.6798
                                                    Root MSE          = 0.1903

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0252474   .0315255     0.80   0.424    -.0367791    .0872738
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0069613   .0684526     0.10   0.919    -.1277192    .1416418
          4  |   .0922179   .0591398     1.56   0.120    -.0241397    .2085755
          5  |   .0643448   .0612701     1.05   0.294    -.0562042    .1848937
          6  |   .0641058   .0646042     0.99   0.322    -.0630029    .1912144
          7  |   .0598235    .067786     0.88   0.378    -.0735454    .1931925
          8  |          0  (empty)
          9  |   .1170038   .0673367     1.74   0.083    -.0154811    .2494887
         10  |          0  (empty)
         11  |   .0822934   .0661734     1.24   0.215    -.0479028    .2124896
         12  |  -.0801225   .0719572    -1.11   0.266    -.2216983    .0614533
             |
  year_group |
          5  |   .1014214   .0574316     1.77   0.078    -.0115753    .2144181
          6  |  -.3769731   .0933938    -4.04   0.000    -.5607253   -.1932209
          7  |   -.320096   .0925689    -3.46   0.001    -.5022253   -.1379667
          8  |    -.22807   .0841334    -2.71   0.007    -.3936025   -.0625375
          9  |  -.2951536    .081462    -3.62   0.000    -.4554301   -.1348771
         10  |  -.2878797   .0808702    -3.56   0.000    -.4469917   -.1287677
         11  |  -.2925269   .0829344    -3.53   0.000    -.4557002   -.1293535
         12  |  -.2993234   .0854428    -3.50   0.001    -.4674321   -.1312147
         13  |  -.2767929   .0841481    -3.29   0.001    -.4423541   -.1112316
             |
       _cons |   .4453743   .0933235     4.77   0.000     .2617603    .6289882
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,226    .2312284    .3536333          0   2.314127
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(18, 316)        =  57.72
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.6040
                                                    Adj R-squared     = 0.4537
                                                    Root MSE          = 0.1981

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0567004   .0352584    -1.61   0.109    -.1260713    .0126706
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1701799   .1512048     1.13   0.261    -.1273154    .4676752
          4  |   .1069042   .0188173     5.68   0.000     .0698812    .1439272
          5  |   .0902566   .0262653     3.44   0.001     .0385797    .1419336
          6  |   .0899327    .029581     3.04   0.003     .0317322    .1481332
          7  |   .0087713   .0385644     0.23   0.820     -.067104    .0846467
          8  |          0  (empty)
          9  |   .0130169   .0379771     0.34   0.732    -.0617031    .0877369
         10  |          0  (empty)
         11  |   .1170757   .0351591     3.33   0.001     .0479001    .1862513
         12  |  -.0171262   .0592354    -0.29   0.773    -.1336718    .0994193
             |
  year_group |
          5  |   .0144757   .0662418     0.22   0.827    -.1158549    .1448063
          6  |   .0918109   .1122911     0.82   0.414    -.1291217    .3127436
          7  |   .1538213   .1251663     1.23   0.220    -.0924433     .400086
          8  |   .0377337   .0984252     0.38   0.702    -.1559178    .2313853
          9  |   .0603507   .0962029     0.63   0.531    -.1289284    .2496299
         10  |  -.0069724   .0973397    -0.07   0.943    -.1984884    .1845435
         11  |   .0231446   .0999106     0.23   0.817    -.1734296    .2197187
         12  |  -.0120079   .0989936    -0.12   0.904    -.2067777    .1827619
         13  |  -.0312308   .1003285    -0.31   0.756    -.2286271    .1661655
             |
       _cons |   .0681108   .0991087     0.69   0.492    -.1268855    .2631072
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,226    .1252003    .2808544          0   2.211759
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(18, 316)        =   4.82
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8281
                                                    Adj R-squared     = 0.7629
                                                    Root MSE          = 0.2344

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0191465   .0402051     0.48   0.634     -.059957    .0982499
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0158898   .0828672     0.19   0.848    -.1471513    .1789309
          4  |  -.0313216   .0363687    -0.86   0.390     -.102877    .0402337
          5  |  -.0049446   .0391705    -0.13   0.900    -.0820125    .0721233
          6  |  -.0914876   .0441536    -2.07   0.039    -.1783597   -.0046155
          7  |  -.0442881   .0519842    -0.85   0.395     -.146567    .0579908
          8  |          0  (empty)
          9  |  -.0702832   .0952255    -0.74   0.461    -.2576393    .1170728
         10  |          0  (empty)
         11  |  -.1166785   .0421082    -2.77   0.006    -.1995265   -.0338306
         12  |   .0586759   .0669873     0.88   0.382    -.0731215    .1904733
             |
  year_group |
          5  |   .1179466   .0954694     1.24   0.218    -.0698895    .3057826
          6  |   .2482132   .1238736     2.00   0.046      .004492    .4919343
          7  |    .207336   .1667369     1.24   0.215    -.1207188    .5353907
          8  |   .2296886   .1268166     1.81   0.071    -.0198229    .4792001
          9  |   .2314928   .1222067     1.89   0.059    -.0089489    .4719345
         10  |    .185235   .1227878     1.51   0.132      -.05635      .42682
         11  |   .0402132   .1253939     0.32   0.749    -.2064992    .2869256
         12  |   .0639417   .1247649     0.51   0.609    -.1815331    .3094166
         13  |   .0833247   .1269257     0.66   0.512    -.1664015     .333051
             |
       _cons |   .1464283   .1265137     1.16   0.248    -.1024873    .3953439
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,226    .2758409    .4919216          0   2.685465
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(18, 316)        =   2.82
                                                    Prob > F          = 0.0001
                                                    R-squared         = 0.9716
                                                    Adj R-squared     = 0.9609
                                                    Root MSE          = 0.1015

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0020832     .01686    -0.12   0.902    -.0352552    .0310888
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0121262   .0197671     0.61   0.540    -.0267656    .0510181
          4  |   .0177851    .017046     1.04   0.298    -.0157529    .0513232
          5  |  -.0048013   .0154826    -0.31   0.757    -.0352632    .0256607
          6  |   .0119655   .0250234     0.48   0.633     -.037268    .0611991
          7  |  -.0444183    .032575    -1.36   0.174    -.1085096     .019673
          8  |          0  (empty)
          9  |   .0063519   .0161297     0.39   0.694    -.0253832     .038087
         10  |          0  (empty)
         11  |   .0441565   .0316366     1.40   0.164    -.0180885    .1064016
         12  |   .0044297   .0141941     0.31   0.755    -.0234972    .0323565
             |
  year_group |
          5  |  -.1051497   .0311177    -3.38   0.001    -.1663738   -.0439257
          6  |   .1354104   .0781277     1.73   0.084    -.0183059    .2891267
          7  |  -.0465738   .0477228    -0.98   0.330    -.1404683    .0473208
          8  |  -.0390886   .0453922    -0.86   0.390    -.1283977    .0502206
          9  |  -.0361665    .044513    -0.81   0.417    -.1237458    .0514128
         10  |  -.0439585   .0449927    -0.98   0.329    -.1324817    .0445647
         11  |  -.0343038   .0507755    -0.68   0.500    -.1342046    .0655971
         12  |  -.0321209   .0500597    -0.64   0.522    -.1306133    .0663715
         13  |  -.0290802   .0502857    -0.58   0.563    -.1280174    .0698569
             |
       _cons |   .3568492   .0469415     7.60   0.000     .2644918    .4492067
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,226    .3190353    .5057379          0   2.735662
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(18, 316)        =   2.55
                                                    Prob > F          = 0.0006
                                                    R-squared         = 0.9555
                                                    Adj R-squared     = 0.9387
                                                    Root MSE          = 0.1246

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0071081   .0214784    -0.33   0.741     -.049367    .0351507
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0710015   .0939743     0.76   0.450    -.1138929    .2558959
          4  |   .0145498   .0191041     0.76   0.447    -.0230375    .0521372
          5  |   .0006736   .0201864     0.03   0.973    -.0390431    .0403903
          6  |    .012068   .0300228     0.40   0.688    -.0470018    .0711379
          7  |  -.0207104   .0289996    -0.71   0.476    -.0777671    .0363463
          8  |          0  (empty)
          9  |   .0247096   .0241405     1.02   0.307    -.0227869     .072206
         10  |          0  (empty)
         11  |   .0090231    .042112     0.21   0.830    -.0738322    .0918784
         12  |   .0339333   .0561704     0.60   0.546     -.076582    .1444486
             |
  year_group |
          5  |  -.2285795   .0498185    -4.59   0.000    -.3265973   -.1305617
          6  |  -.7498296   .1460608    -5.13   0.000    -1.037204    -.462455
          7  |  -.7709466   .1642014    -4.70   0.000    -1.094013   -.4478803
          8  |    -.75956   .1591833    -4.77   0.000    -1.072753    -.446367
          9  |  -.7616606   .1601036    -4.76   0.000    -1.076664   -.4466569
         10  |  -.7454525   .1555367    -4.79   0.000    -1.051471   -.4394342
         11  |  -.7610837    .156808    -4.85   0.000    -1.069603    -.452564
         12  |  -.7557109   .1570148    -4.81   0.000    -1.064637   -.4467843
         13  |  -.7525448    .158577    -4.75   0.000    -1.064545   -.4405447
             |
       _cons |   1.060072   .1560048     6.80   0.000     .7531331    1.367012
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,226    .3112956    .5010762          0   2.755535
(764 missing values generated)
(764 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,226
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(18, 316)        =   1.33
                                                    Prob > F          = 0.1664
                                                    R-squared         = 0.7734
                                                    Adj R-squared     = 0.6875
                                                    Root MSE          = 0.2945

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0209333   .0534891     0.39   0.696    -.0843065    .1261731
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1955721   .1366312     1.43   0.153    -.0732498     .464394
          4  |    .035442   .0485582     0.73   0.466    -.0600963    .1309803
          5  |   -.013851   .0525394    -0.26   0.792    -.1172222    .0895202
          6  |   .1161563   .0751781     1.55   0.123    -.0317566    .2640693
          7  |   .0281132   .0691162     0.41   0.684    -.1078729    .1640993
          8  |          0  (empty)
          9  |   .0301055   .0742744     0.41   0.686    -.1160294    .1762404
         10  |          0  (empty)
         11  |   .0606322   .0889215     0.68   0.496    -.1143208    .2355853
         12  |   .0872432   .0617572     1.41   0.159    -.0342641    .2087506
             |
  year_group |
          5  |  -.1436805   .0519747    -2.76   0.006    -.2459408   -.0414203
          6  |  -.6520134   .2746375    -2.37   0.018    -1.192363   -.1116642
          7  |  -.1549697   .1879301    -0.82   0.410     -.524722    .2147826
          8  |  -.3228684   .1566322    -2.06   0.040    -.6310422   -.0146945
          9  |  -.3972012   .1601047    -2.48   0.014    -.7122071   -.0821953
         10  |  -.3626513   .1581218    -2.29   0.022    -.6737558   -.0515468
         11  |   -.384664   .1633845    -2.35   0.019    -.7061228   -.0632052
         12  |  -.3777427   .1639869    -2.30   0.022    -.7003868   -.0550987
         13  |    -.35529   .1656898    -2.14   0.033    -.6812846   -.0292953
             |
       _cons |   .6697665   .1657295     4.04   0.000     .3436937    .9958393
------------------------------------------------------------------------------
(764 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,226         757           0        757        757

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,226    .3511535    .5240922          0   2.993585

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(17, 335)        = 104.81
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7546
                                                    Adj R-squared     = 0.6632
                                                    Root MSE          = 0.2394

                        (Std. err. adjusted for 336 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0214448   .0535979     0.40   0.689     -.083986    .1268757
             |
 scale_group |
          2  |   -.049206   .0701113    -0.70   0.483    -.1871199    .0887079
          3  |          0  (omitted)
          4  |   .1333242   .0271538     4.91   0.000     .0799107    .1867377
          5  |   .0834168   .0621218     1.34   0.180    -.0387811    .2056147
          6  |   .1622529    .072989     2.22   0.027     .0186784    .3058275
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0851898   .0517047     1.65   0.100    -.0165171    .1868966
         10  |          0  (empty)
         11  |   .2559663   .0485115     5.28   0.000     .1605408    .3513919
         12  |  -.0177525    .068301    -0.26   0.795    -.1521054    .1166005
             |
  year_group |
          5  |   .0489151   .0061463     7.96   0.000     .0368249    .0610053
          6  |  -.1503753   .1166112    -1.29   0.198    -.3797579    .0790072
          7  |  -.0215025   .1164369    -0.18   0.854    -.2505421    .2075372
          8  |  -.0689265   .0887618    -0.78   0.438    -.2435272    .1056742
          9  |   .0107302   .0863001     0.12   0.901    -.1590283    .1804887
         10  |   .0815089   .0950393     0.86   0.392    -.1054401     .268458
         11  |   .1524809   .1000112     1.52   0.128    -.0442481    .3492099
         12  |    .147624   .1012528     1.46   0.146    -.0515473    .3467953
         13  |   .1442413   .1043028     1.38   0.168    -.0609297    .3494123
             |
       _cons |   .0451626   .0978348     0.46   0.645    -.1472853    .2376105
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,202    .2309632     .407658          0   2.985747
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,202
Absorbed variable: factor_pair                    No. of categories =      310
                                                  F(17, 335)        = 3.59e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8143
                                                  Adj R-squared     =   0.7451
                                                  Root MSE          =   0.2160

                        (Std. err. adjusted for 336 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0076056   .0512469     0.15   0.882    -.0932006    .1084118
             |
 scale_group |
          2  |  -.0311302   .0475547    -0.65   0.513    -.1246736    .0624132
          3  |          0  (omitted)
          4  |    .105719   .0294953     3.58   0.000     .0476997    .1637383
          5  |   .0616388   .0300275     2.05   0.041     .0025727    .1207049
          6  |   .0613267   .0468704     1.31   0.192    -.0308706     .153524
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .1040243   .0339709     3.06   0.002     .0372011    .1708474
         10  |          0  (empty)
         11  |   .1057316   .0376702     2.81   0.005     .0316317    .1798316
         12  |   .0333574   .0304869     1.09   0.275    -.0266124    .0933272
             |
  year_group |
          5  |  -.3696926   4.73e-08 -7.8e+06   0.000    -.3696927   -.3696925
          6  |  -.2916859   .1522419    -1.92   0.056    -.5911564    .0077846
          7  |   -.307282   .1039584    -2.96   0.003    -.5117756   -.1027885
          8  |  -.2838733   .0993732    -2.86   0.005    -.4793474   -.0883992
          9  |  -.2667594   .0998715    -2.67   0.008    -.4632137   -.0703051
         10  |  -.1694622   .1027522    -1.65   0.100    -.3715831    .0326587
         11  |  -.1108621   .1066519    -1.04   0.299    -.3206539    .0989298
         12  |  -.1889938   .1052376    -1.80   0.073    -.3960037    .0180161
         13  |  -.1142264   .1213414    -0.94   0.347    -.3529134    .1244607
             |
       _cons |    .375174   .1054233     3.56   0.000      .167799     .582549
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,202    .2586299    .4352062          0   3.075019
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(17, 335)        =   2.78
                                                    Prob > F          = 0.0002
                                                    R-squared         = 0.7756
                                                    Adj R-squared     = 0.6920
                                                    Root MSE          = 0.1887

                        (Std. err. adjusted for 336 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0613854   .0381439     1.61   0.108    -.0136462    .1364171
             |
 scale_group |
          2  |  -.0226236   .0735345    -0.31   0.759    -.1672711    .1220239
          3  |          0  (omitted)
          4  |   .0298157   .0257409     1.16   0.248    -.0208184    .0804498
          5  |    .015193   .0395983     0.38   0.701    -.0626996    .0930856
          6  |  -.0169287   .0423547    -0.40   0.690    -.1002433    .0663859
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0160567   .0430434     0.37   0.709    -.0686126     .100726
         10  |          0  (empty)
         11  |   .0508743   .0355383     1.43   0.153     -.019032    .1207806
         12  |  -.0890003   .0713192    -1.25   0.213    -.2292903    .0512897
             |
  year_group |
          5  |   .2451751   .0560216     4.38   0.000     .1349767    .3553736
          6  |  -.0305591   .1389123    -0.22   0.826    -.3038093    .2426911
          7  |   -.088535   .1200692    -0.74   0.461    -.3247195    .1476496
          8  |  -.0509267   .1171835    -0.43   0.664    -.2814349    .1795815
          9  |  -.1409278   .1151755    -1.22   0.222    -.3674861    .0856305
         10  |  -.1068021   .1169139    -0.91   0.362    -.3367801    .1231758
         11  |  -.1017991   .1182279    -0.86   0.390    -.3343617    .1307635
         12  |  -.0977002   .1201894    -0.81   0.417    -.3341213    .1387209
         13  |   -.081801   .1193409    -0.69   0.494    -.3165529    .1529509
             |
       _cons |   .2909792   .1203344     2.42   0.016     .0542729    .5276856
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,202    .2327571     .349636          0   1.956736
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,202
Absorbed variable: factor_pair                    No. of categories =      310
                                                  F(17, 335)        = 18469.90
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.6064
                                                  Adj R-squared     =   0.4597
                                                  Root MSE          =   0.1883

                        (Std. err. adjusted for 336 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0364928   .0384314    -0.95   0.343    -.1120901    .0391046
             |
 scale_group |
          2  |  -.2323249   .3454631    -0.67   0.502    -.9118751    .4472254
          3  |          0  (omitted)
          4  |   .0355322   .0163247     2.18   0.030     .0034204     .067644
          5  |   .0152164   .0262505     0.58   0.563    -.0364203    .0668531
          6  |   .0687729    .029013     2.37   0.018     .0117023    .1258435
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0429773   .0253554    -1.69   0.091    -.0928533    .0068986
         10  |          0  (empty)
         11  |    .059932   .0318733     1.88   0.061    -.0027651    .1226291
         12  |  -.2779107   .3294884    -0.84   0.400    -.9260377    .3702163
             |
  year_group |
          5  |   .1328528   .0110094    12.07   0.000     .1111966     .154509
          6  |   .2845097   .0829847     3.43   0.001     .1212729    .4477464
          7  |   .2717888   .0924314     2.94   0.004     .0899698    .4536078
          8  |    .247781   .0966629     2.56   0.011     .0576383    .4379237
          9  |   .2101342   .0888176     2.37   0.019     .0354237    .3848447
         10  |   .1745827   .0926258     1.88   0.060    -.0076188    .3567843
         11  |   .1948709   .0942584     2.07   0.039      .009458    .3802839
         12  |   .1775553   .0953388     1.86   0.063    -.0099828    .3650934
         13  |   .1826247   .0944606     1.93   0.054     -.003186    .3684355
             |
       _cons |  -.0211751   .1411744    -0.15   0.881    -.2988752     .256525
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,202    .1131942    .2548859          0   3.067796
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,202
Absorbed variable: factor_pair                    No. of categories =      310
                                                  F(17, 335)        = 1.70e+11
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8144
                                                  Adj R-squared     =   0.7452
                                                  Root MSE          =   0.2320

                        (Std. err. adjusted for 336 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0535107    .043536     1.23   0.220    -.0321277    .1391492
             |
 scale_group |
          2  |  -.1102405   .0964762    -1.14   0.254    -.3000159    .0795349
          3  |          0  (omitted)
          4  |  -.0921355   .0298665    -3.08   0.002    -.1508851   -.0333859
          5  |  -.0191811   .0471338    -0.41   0.684    -.1118965    .0735344
          6  |  -.0594262   .0488616    -1.22   0.225    -.1555403    .0366879
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0619775   .0526698    -1.18   0.240    -.1655827    .0416277
         10  |          0  (empty)
         11  |  -.1221261    .041268    -2.96   0.003    -.2033032   -.0409491
         12  |  -.0388742   .0901755    -0.43   0.667    -.2162557    .1385074
             |
  year_group |
          5  |  -.0830445   4.89e-08 -1.7e+06   0.000    -.0830446   -.0830444
          6  |   .0242578   .0523557     0.46   0.643    -.0787295    .1272451
          7  |  -.0862742   .0797135    -1.08   0.280    -.2430764    .0705279
          8  |   .0359263   .0743804     0.48   0.629    -.1103852    .1822377
          9  |   .0442743     .05469     0.81   0.419    -.0633047    .1518534
         10  |  -.0301118   .0674447    -0.45   0.656    -.1627803    .1025568
         11  |  -.1849293   .0739466    -2.50   0.013    -.3303875   -.0394711
         12  |  -.1702779   .0730909    -2.33   0.020    -.3140528   -.0265029
         13  |  -.1326591   .0768018    -1.73   0.085    -.2837337    .0184156
             |
       _cons |   .3945672   .0743676     5.31   0.000     .2482809    .5408536
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,202    .2677552    .4763493          0   2.713095
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(17, 335)        = 460.43
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9743
                                                    Adj R-squared     = 0.9647
                                                    Root MSE          = 0.0947

                        (Std. err. adjusted for 336 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0116094   .0156028    -0.74   0.457    -.0423011    .0190823
             |
 scale_group |
          2  |   .0004459   .0197695     0.02   0.982     -.038442    .0393338
          3  |          0  (omitted)
          4  |  -.0072312   .0149867    -0.48   0.630    -.0367111    .0222487
          5  |  -.0321554   .0189324    -1.70   0.090    -.0693967    .0050859
          6  |   .0164829   .0358031     0.46   0.646    -.0539444    .0869102
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0189821   .0170023     1.12   0.265    -.0144625    .0524267
         10  |          0  (empty)
         11  |   .0059874    .022775     0.26   0.793    -.0388128    .0507875
         12  |   .0112717   .0140542     0.80   0.423    -.0163739    .0389174
             |
  year_group |
          5  |  -.1653391   .0018711   -88.36   0.000    -.1690198   -.1616584
          6  |  -.0421762   .0803507    -0.52   0.600    -.2002317    .1158794
          7  |  -.0377811   .0689891    -0.55   0.584    -.1734876    .0979253
          8  |  -.0471314   .0655672    -0.72   0.473    -.1761067    .0818438
          9  |  -.0288859    .067633    -0.43   0.670    -.1619247     .104153
         10  |  -.0597345   .0683367    -0.87   0.383    -.1941576    .0746886
         11  |  -.0650045   .0710827    -0.91   0.361    -.2048292    .0748202
         12  |  -.0568487   .0706643    -0.80   0.422    -.1958503    .0821529
         13  |  -.0413579   .0729171    -0.57   0.571     -.184791    .1020753
             |
       _cons |   .3869639   .0692281     5.59   0.000     .2507874    .5231405
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,202    .3157147    .4964321          0   2.169538
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,202
Absorbed variable: factor_pair                      No. of categories =    310
                                                    F(16, 335)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9472
                                                    Adj R-squared     = 0.9276
                                                    Root MSE          = 0.1314

                        (Std. err. adjusted for 336 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0035302   .0244087    -0.14   0.885    -.0515437    .0444833
             |
 scale_group |
          2  |  -.1001039   .0761966    -1.31   0.190    -.2499879    .0497802
          3  |          0  (omitted)
          4  |   .0290843   .0246243     1.18   0.238    -.0193534     .077522
          5  |   .0402527   .0258454     1.56   0.120     -.010587    .0910925
          6  |   .0063272   .0378513     0.17   0.867     -.068129    .0807833
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0041712   .0368713     0.11   0.910    -.0683572    .0766997
         10  |          0  (empty)
         11  |   .0232839   .0419732     0.55   0.579    -.0592804    .1058482
         12  |  -.0808389   .0702833    -1.15   0.251    -.2190911    .0574133
             |
  year_group |
          5  |  -.2457476          .        .       .            .           .
          6  |  -.6317153   .1334347    -4.73   0.000    -.8941908   -.3692399
          7  |  -.7333592   .1563715    -4.69   0.000    -1.040953   -.4257654
          8  |  -.6989435   .1522713    -4.59   0.000     -.998472   -.3994151
          9  |  -.6914792   .1524658    -4.54   0.000    -.9913902   -.3915683
         10  |   -.704494   .1525349    -4.62   0.000    -1.004541   -.4044471
         11  |  -.6535426   .1527271    -4.28   0.000    -.9539675   -.3531176
         12  |  -.6462339   .1528338    -4.23   0.000    -.9468687   -.3455992
         13  |  -.6643513   .1548684    -4.29   0.000    -.9689885   -.3597142
             |
       _cons |    .986313   .1528407     6.45   0.000     .6856645    1.286961
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,202    .3049411     .485574          0   2.190369
(788 missing values generated)
(788 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators            Number of obs     =   1,202
Absorbed variable: factor_pair                     No. of categories =     310
                                                   F(17, 335)        = 2028.12
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.9277
                                                   Adj R-squared     =  0.9008
                                                   Root MSE          =  0.1529

                        (Std. err. adjusted for 336 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0135995   .0301091     0.45   0.652    -.0456273    .0728264
             |
 scale_group |
          2  |  -.3324114   .2012855    -1.65   0.100    -.7283541    .0635314
          3  |          0  (omitted)
          4  |  -.0685118   .0296065    -2.31   0.021    -.1267499   -.0102738
          5  |  -.0397352   .0331237    -1.20   0.231    -.1048917    .0254214
          6  |  -.0538209   .0346015    -1.56   0.121    -.1218845    .0142427
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0574147   .0367134    -1.56   0.119    -.1296326    .0148033
         10  |          0  (empty)
         11  |  -.0369715   .0371772    -0.99   0.321    -.1101017    .0361587
         12  |  -.2377735   .1881857    -1.26   0.207    -.6079482    .1324011
             |
  year_group |
          5  |  -.1577392   .0008499  -185.60   0.000     -.159411   -.1560675
          6  |  -.1264557   .0330363    -3.83   0.000    -.1914405    -.061471
          7  |  -.1999523   .0521778    -3.83   0.000    -.3025897   -.0973148
          8  |  -.1198665   .0448971    -2.67   0.008    -.2081822   -.0315507
          9  |  -.1502741   .0394427    -3.81   0.000    -.2278606   -.0726875
         10  |  -.1645462    .044991    -3.66   0.000    -.2530468   -.0760457
         11  |  -.2067048   .0475016    -4.35   0.000    -.3001438   -.1132658
         12  |  -.2163692   .0479904    -4.51   0.000    -.3107697   -.1219687
         13  |  -.1872796    .048678    -3.85   0.000    -.2830327   -.0915265
             |
       _cons |   .5939143   .0804349     7.38   0.000     .4356932    .7521355
------------------------------------------------------------------------------
(788 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,202         783           0        783        783

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,202    .3134277    .4890954          0   2.383173

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 326)        = 649.88
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7803
                                                    Adj R-squared     = 0.6966
                                                    Root MSE          = 0.2203

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0174883   .0472556    -0.37   0.712    -.1104528    .0754761
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   -.080319   .0864197    -0.93   0.353    -.2503297    .0896917
          4  |  -.0454769   .1554387    -0.29   0.770    -.3512663    .2603125
          5  |  -.1253626   .1496728    -0.84   0.403     -.419809    .1690838
          6  |  -.0144327   .1583695    -0.09   0.927    -.3259879    .2971225
          7  |  -.0035201   .1168726    -0.03   0.976    -.2334398    .2263997
          8  |          0  (empty)
          9  |  -.0969762   .1614686    -0.60   0.549     -.414628    .2206757
         10  |          0  (omitted)
         11  |   .0290963    .153074     0.19   0.849    -.2720412    .3302338
         12  |   .0355841   .0651093     0.55   0.585    -.0925034    .1636716
             |
  year_group |
          5  |   .1519371   .0014065   108.03   0.000     .1491702     .154704
          6  |  -.3284659   .1757824    -1.87   0.063    -.6742769    .0173451
          7  |   .0059052   .1515686     0.04   0.969    -.2922707    .3040811
          8  |  -.0009459   .1379933    -0.01   0.995    -.2724155    .2705237
          9  |  -.0169427   .1351893    -0.13   0.900    -.2828962    .2490107
         10  |   .0453502   .1414005     0.32   0.749    -.2328224    .3235228
         11  |   .0236915   .1554135     0.15   0.879    -.2820485    .3294315
         12  |    .035865   .1497775     0.24   0.811    -.2587875    .3305175
         13  |  -.0004014   .1566669    -0.00   0.998    -.3086071    .3078044
             |
       _cons |   .2604097    .177908     1.46   0.144    -.0895829    .6104023
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,172    .2262696    .3974579          0   2.750307
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(17, 326)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8207
                                                    Adj R-squared     = 0.7524
                                                    Root MSE          = 0.2295

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0184363   .0528367     0.35   0.727    -.0855077    .1223803
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.0470555   .0659754    -0.71   0.476    -.1768468    .0827358
          4  |  -.0310269   .0819234    -0.38   0.705    -.1921921    .1301384
          5  |  -.0473285   .0801922    -0.59   0.555     -.205088    .1104309
          6  |  -.1358868   .1013303    -1.34   0.181    -.3352306     .063457
          7  |   -.024634   .0672022    -0.37   0.714    -.1568388    .1075707
          8  |          0  (empty)
          9  |  -.0563452   .0847358    -0.66   0.507    -.2230431    .1103528
         10  |          0  (omitted)
         11  |  -.0939079   .0935549    -1.00   0.316    -.2779554    .0901396
         12  |   .0334803   .0376686     0.89   0.375    -.0406239    .1075845
             |
  year_group |
          5  |  -.4260456          .        .       .            .           .
          6  |  -.3309078   .1731382    -1.91   0.057     -.671517    .0097014
          7  |  -.3695981   .1155579    -3.20   0.002    -.5969314   -.1422648
          8  |   -.306368   .1102707    -2.78   0.006    -.5232999    -.089436
          9  |  -.3204304   .1097841    -2.92   0.004    -.5364051   -.1044557
         10  |  -.2490256   .1123271    -2.22   0.027    -.4700031   -.0280481
         11  |  -.1783596   .1202576    -1.48   0.139    -.4149384    .0582192
         12  |   -.280694   .1155075    -2.43   0.016    -.5079282   -.0534598
         13  |  -.1213434    .133358    -0.91   0.364    -.3836941    .1410074
             |
       _cons |   .5426968   .1299321     4.18   0.000     .2870856     .798308
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,172    .2609043    .4530241          0   3.381661
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 326)        =   5.52
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7885
                                                    Adj R-squared     = 0.7079
                                                    Root MSE          = 0.1967

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .050699   .0380589     1.33   0.184     -.024173     .125571
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .0124729   .0909107     0.14   0.891    -.1663728    .1913185
          4  |  -.1430727   .0568185    -2.52   0.012    -.2548498   -.0312956
          5  |  -.1764519   .0597617    -2.95   0.003    -.2940191   -.0588848
          6  |  -.2517267   .0779769    -3.23   0.001    -.4051282   -.0983253
          7  |  -.2266345   .0457559    -4.95   0.000    -.3166486   -.1366204
          8  |          0  (empty)
          9  |  -.1481876   .0732403    -2.02   0.044    -.2922709   -.0041044
         10  |          0  (omitted)
         11  |  -.1600645   .0563702    -2.84   0.005    -.2709598   -.0491692
         12  |   -.048351   .0757943    -0.64   0.524    -.1974586    .1007566
             |
  year_group |
          5  |   .1094642   .0620142     1.77   0.078    -.0125344    .2314627
          6  |  -.3143247    .165012    -1.90   0.058    -.6389474     .010298
          7  |  -.2545201   .1297778    -1.96   0.051    -.5098277    .0007875
          8  |   -.274182    .122436    -2.24   0.026    -.5150464   -.0333176
          9  |  -.3460866   .1210899    -2.86   0.005    -.5843029   -.1078703
         10  |  -.2928042   .1228877    -2.38   0.018    -.5345572   -.0510512
         11  |  -.3181346   .1230574    -2.59   0.010    -.5602215   -.0760477
         12  |  -.3023594   .1240462    -2.44   0.015    -.5463915   -.0583273
         13  |  -.3193743   .1233069    -2.59   0.010     -.561952   -.0767966
             |
       _cons |   .6427586   .1272807     5.05   0.000     .3923634    .8931539
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,172     .240374    .3704342          0   2.334274
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 326)        =   1.51
                                                    Prob > F          = 0.0855
                                                    R-squared         = 0.5365
                                                    Adj R-squared     = 0.3599
                                                    Root MSE          = 0.2034

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0282919    .033948    -0.83   0.405    -.0950767    .0384929
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .1821066   .2034898     0.89   0.371    -.2182122    .5824254
          4  |    .061128   .0358747     1.70   0.089    -.0094471     .131703
          5  |   .0529859   .0407704     1.30   0.195    -.0272203    .1331922
          6  |   .0665134   .0430968     1.54   0.124    -.0182696    .1512964
          7  |  -.0176237   .0403654    -0.44   0.663    -.0970332    .0617858
          8  |          0  (empty)
          9  |  -.0028514   .0423333    -0.07   0.946    -.0861324    .0804296
         10  |          0  (omitted)
         11  |   .0690337   .0369338     1.87   0.063     -.003625    .1416924
         12  |   .0280361   .0650354     0.43   0.667     -.099906    .1559782
             |
  year_group |
          5  |   .0295497    .108036     0.27   0.785     -.182986    .2420854
          6  |   .3123619   .1620174     1.93   0.055    -.0063696    .6310935
          7  |   .2472226   .1836816     1.35   0.179    -.1141282    .6085734
          8  |    .174758   .1748523     1.00   0.318    -.1692233    .5187392
          9  |   .1127633   .1691459     0.67   0.505     -.219992    .4455186
         10  |   .1128474   .1722939     0.65   0.513    -.2261007    .4517955
         11  |    .120494   .1736851     0.69   0.488    -.2211911    .4621791
         12  |   .0933544   .1727004     0.54   0.589    -.2463935    .4331024
         13  |   .1110705   .1731193     0.64   0.522    -.2295014    .4516425
             |
       _cons |  -.0428745   .1720479    -0.25   0.803    -.3813387    .2955897
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,172    .1075208     .240285          0   2.142581
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 326)        =   4.28
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7854
                                                    Adj R-squared     = 0.7037
                                                    Root MSE          = 0.2520

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0070352   .0439815     0.16   0.873    -.0794882    .0935585
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .0906712   .0859259     1.06   0.292     -.078368    .2597103
          4  |    .037877   .0543951     0.70   0.487    -.0691327    .1448867
          5  |   .1292182     .05716     2.26   0.024     .0167693    .2416671
          6  |   .0290249   .0751422     0.39   0.700    -.1187999    .1768496
          7  |   .0526976   .0554307     0.95   0.342    -.0563493    .1617445
          8  |          0  (empty)
          9  |   .0267409   .0811659     0.33   0.742    -.1329341     .186416
         10  |          0  (omitted)
         11  |  -.0456926   .0599871    -0.76   0.447    -.1637031     .072318
         12  |   .0917162   .0742698     1.23   0.218    -.0543924    .2378248
             |
  year_group |
          5  |   .1157031   .1655825     0.70   0.485     -.210042    .4414482
          6  |   .4354951   .2719062     1.60   0.110    -.0994172    .9704074
          7  |   .0605382    .211635     0.29   0.775    -.3558045     .476881
          8  |    .136804   .2037751     0.67   0.502    -.2640762    .5376842
          9  |   .1950448   .1971533     0.99   0.323    -.1928085    .5828982
         10  |   .1946128    .201978     0.96   0.336     -.202732    .5919576
         11  |   .0427538   .2041872     0.21   0.834     -.358937    .4444446
         12  |   .0888908   .2029451     0.44   0.662    -.3103566    .4881381
         13  |   .0712259   .2038342     0.35   0.727    -.3297706    .4722223
             |
       _cons |   .0868584    .203079     0.43   0.669    -.3126523     .486369
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,172    .2628442    .4590539          0   2.972933
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 326)        =   2.67
                                                    Prob > F          = 0.0003
                                                    R-squared         = 0.9707
                                                    Adj R-squared     = 0.9595
                                                    Root MSE          = 0.0986

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0145104   .0215387     0.67   0.501     -.027862    .0568828
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.0001417   .0238582    -0.01   0.995    -.0470772    .0467939
          4  |   .0983064   .0785003     1.25   0.211    -.0561247    .2527374
          5  |    .082724   .0772597     1.07   0.285    -.0692664    .2347145
          6  |   .2084069   .1111984     1.87   0.062    -.0103501     .427164
          7  |   .0560583   .0582816     0.96   0.337    -.0585972    .1707137
          8  |          0  (empty)
          9  |   .1013742   .0817328     1.24   0.216     -.059416    .2621644
         10  |          0  (omitted)
         11  |   .1296176   .0933279     1.39   0.166    -.0539833    .3132185
         12  |   .0053875   .0183399     0.29   0.769     -.030692     .041467
             |
  year_group |
          5  |   -.124566   .0343385    -3.63   0.000     -.192119   -.0570131
          6  |   .1066708   .0979481     1.09   0.277    -.0860192    .2993608
          7  |  -.0450589   .0628078    -0.72   0.474    -.1686186    .0785008
          8  |  -.0371256   .0616459    -0.60   0.547    -.1583996    .0841483
          9  |  -.0242876   .0608655    -0.40   0.690    -.1440262    .0954511
         10  |  -.0585134   .0620143    -0.94   0.346    -.1805121    .0634854
         11  |  -.0525209   .0656853    -0.80   0.425    -.1817416    .0766997
         12  |  -.0332463     .06438    -0.52   0.606     -.159899    .0934063
         13  |  -.0400783   .0660882    -0.61   0.545    -.1700915    .0899348
             |
       _cons |   .2793231   .0859907     3.25   0.001     .1101564    .4484898
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,172    .3059365    .4744754          0   2.621485
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 326)        =   2.22
                                                    Prob > F          = 0.0032
                                                    R-squared         = 0.9437
                                                    Adj R-squared     = 0.9223
                                                    Root MSE          = 0.1358

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0405064   .0268239    -1.51   0.132    -.0932762    .0122635
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |    .177653   .0734667     2.42   0.016     .0331244    .3221816
          4  |   .0306874   .0201614     1.52   0.129    -.0089755    .0703503
          5  |   .0303848   .0234968     1.29   0.197    -.0158397    .0766094
          6  |   .0046382   .0267879     0.17   0.863    -.0480608    .0573372
          7  |   .0316487    .025575     1.24   0.217    -.0186642    .0819615
          8  |          0  (empty)
          9  |   .0280905   .0476341     0.59   0.556    -.0656186    .1217995
         10  |          0  (omitted)
         11  |   .0183724   .0256957     0.71   0.475    -.0321779    .0689226
         12  |    .090015   .0517089     1.74   0.083    -.0117102    .1917402
             |
  year_group |
          5  |  -.2284467   .0612082    -3.73   0.000    -.3488595   -.1080339
          6  |  -.6708395   .1854816    -3.62   0.000    -1.035731   -.3059476
          7  |  -.8923384   .2082742    -4.28   0.000    -1.302069   -.4826074
          8  |  -.8853647    .206179    -4.29   0.000    -1.290974   -.4797554
          9  |  -.8374057   .2025813    -4.13   0.000    -1.235937   -.4388741
         10  |  -.8544687   .2035737    -4.20   0.000    -1.254953   -.4539848
         11  |  -.8381604   .2031617    -4.13   0.000    -1.237834    -.438487
         12  |  -.8227355   .2030298    -4.05   0.000    -1.222149   -.4233217
         13  |  -.8128726    .202939    -4.01   0.000    -1.212108   -.4136373
             |
       _cons |   1.121323   .2006295     5.59   0.000     .7266314    1.516015
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,172     .301831    .4781063          0   2.388365
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    306
                                                    F(18, 326)        =   2.94
                                                    Prob > F          = 0.0001
                                                    R-squared         = 0.9020
                                                    Adj R-squared     = 0.8647
                                                    Root MSE          = 0.1780

                        (Std. err. adjusted for 327 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.001876   .0307908    -0.06   0.951    -.0624499    .0586978
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .3791317   .1476503     2.57   0.011      .088664    .6695993
          4  |   .0356947   .0822216     0.43   0.664    -.1260571    .1974466
          5  |   .0451328   .0798632     0.57   0.572    -.1119795    .2022451
          6  |   .0854706   .0906047     0.94   0.346    -.0927731    .2637143
          7  |   .0216489    .063917     0.34   0.735     -.104093    .1473908
          8  |          0  (empty)
          9  |   .0354687   .0883456     0.40   0.688    -.1383307    .2092682
         10  |          0  (omitted)
         11  |   .0356148   .0897538     0.40   0.692    -.1409549    .2121845
         12  |   .1839821   .0636619     2.89   0.004     .0587422    .3092221
             |
  year_group |
          5  |  -.0210978   .0917775    -0.23   0.818    -.2016488    .1594531
          6  |   .2203831   .1317233     1.67   0.095    -.0387519     .479518
          7  |   .0607312   .1255876     0.48   0.629    -.1863332    .3077956
          8  |   .0463743   .1099308     0.42   0.673    -.1698891    .2626376
          9  |   .0547018   .1047792     0.52   0.602    -.1514269    .2608305
         10  |   .0569874   .1084405     0.53   0.600    -.1563442    .2703189
         11  |  -.0295792   .1098497    -0.27   0.788     -.245683    .1865246
         12  |   .0184459   .1098952     0.17   0.867    -.1977474    .2346391
         13  |  -.0028026   .1108498    -0.03   0.980    -.2208737    .2152685
             |
       _cons |   .2148684   .1257678     1.71   0.089    -.0325505    .4622873
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,172    .3039333    .4823061          0   2.384901

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(704 missing values generated)
(704 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,286
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 328)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8114
                                                    Adj R-squared     = 0.7459
                                                    Root MSE          = 0.2195

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .014937   .0434477     0.34   0.731    -.0705343    .1004083
             |
 scale_group |
          2  |   .0237407    .092791     0.26   0.798    -.1587998    .2062813
          3  |          0  (omitted)
          4  |   .2570302   .0513324     5.01   0.000     .1560479    .3580125
          5  |   .1832728   .0692349     2.65   0.009     .0470723    .3194732
          6  |   .2961149   .0998129     2.97   0.003     .0997608    .4924691
          7  |          0  (empty)
          8  |   .3578572   .1074815     3.33   0.001     .1464173    .5692972
          9  |   .1198057   .0767908     1.56   0.120    -.0312589    .2708703
         10  |   .3719592   .1409127     2.64   0.009     .0947526    .6491659
         11  |   .3811612   .0819605     4.65   0.000     .2199267    .5423957
         12  |   .0721122   .0983822     0.73   0.464    -.1214275    .2656519
             |
  year_group |
          5  |   .0556222   .0069835     7.96   0.000      .041884    .0693604
          6  |  -.1938268   .1644911    -1.18   0.240    -.5174174    .1297639
          7  |  -.0215675   .1118852    -0.19   0.847    -.2416707    .1985356
          8  |  -.0456052   .0789158    -0.58   0.564    -.2008501    .1096397
          9  |  -.0381132   .0704729    -0.54   0.589    -.1767492    .1005228
         10  |    .019518   .0798871     0.24   0.807    -.1376377    .1766737
         11  |    .074145   .0831367     0.89   0.373    -.0894034    .2376935
         12  |    .081183   .0846578     0.96   0.338    -.0853577    .2477236
         13  |     .06082   .0909757     0.67   0.504    -.1181494    .2397894
             |
       _cons |     .00394   .0943292     0.04   0.967    -.1816266    .1895067
------------------------------------------------------------------------------
(704 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,286         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,286    .2370061    .4389814          0   3.771181
(704 missing values generated)
(704 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,286
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 328)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8584
                                                    Adj R-squared     = 0.8093
                                                    Root MSE          = 0.2108

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0218179   .0479992     0.45   0.650    -.0726071     .116243
             |
 scale_group |
          2  |   .0801961   .0495526     1.62   0.107    -.0172849    .1776771
          3  |          0  (omitted)
          4  |   .1940501   .0412484     4.70   0.000     .1129053     .275195
          5  |   .1438791   .0555886     2.59   0.010     .0345239    .2532342
          6  |   .1602308   .0804569     1.99   0.047     .0019542    .3185075
          7  |          0  (empty)
          8  |   .1909144   .0640574     2.98   0.003     .0648992    .3169296
          9  |   .1780973   .0476947     3.73   0.000     .0842713    .2719233
         10  |   .2025958   .0719699     2.82   0.005      .061015    .3441767
         11  |   .2128604   .0534737     3.98   0.000     .1076658    .3180551
         12  |   .0824917   .0439173     1.88   0.061    -.0039035     .168887
             |
  year_group |
          5  |   -.418074   3.98e-08 -1.1e+07   0.000    -.4180741   -.4180739
          6  |    -.61299   .0619482    -9.90   0.000     -.734856   -.4911241
          7  |  -.5476592   .0421933   -12.98   0.000    -.6306628   -.4646556
          8  |  -.4440445   .0252682   -17.57   0.000    -.4937528   -.3943363
          9  |  -.4050887   .0175219   -23.12   0.000    -.4395583   -.3706191
         10  |   -.357208   .0275823   -12.95   0.000    -.4114685   -.3029476
         11  |  -.3013752   .0463579    -6.50   0.000    -.3925714   -.2101789
         12  |  -.3706032   .0412322    -8.99   0.000    -.4517161   -.2894903
         13  |  -.2830721   .0756519    -3.74   0.000    -.4318963    -.134248
             |
       _cons |   .4810653    .061988     7.76   0.000      .359121    .6030095
------------------------------------------------------------------------------
(704 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,286         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,286    .2611561    .4640181          0    3.87789
(704 missing values generated)
(704 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,286
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 328)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7812
                                                    Adj R-squared     = 0.7052
                                                    Root MSE          = 0.2049

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0154436   .0306609     0.50   0.615    -.0448732    .0757604
             |
 scale_group |
          2  |  -.0132168    .122715    -0.11   0.914    -.2546245    .2281909
          3  |          0  (omitted)
          4  |  -.0048744   .0263371    -0.19   0.853    -.0566854    .0469365
          5  |  -.0150204   .0456022    -0.33   0.742      -.10473    .0746892
          6  |   -.035012   .0437383    -0.80   0.424    -.1210549    .0510309
          7  |          0  (empty)
          8  |   -.029055   .0551691    -0.53   0.599    -.1375849    .0794749
          9  |   .0246455   .0560664     0.44   0.661    -.0856496    .1349405
         10  |    .136714   .0526056     2.60   0.010     .0332271    .2402008
         11  |  -.0048982   .0395911    -0.12   0.902    -.0827828    .0729863
         12  |  -.0233492   .1111949    -0.21   0.834    -.2420943    .1953959
             |
  year_group |
          5  |   .4216275   .0954403     4.42   0.000     .2338752    .6093799
          6  |   .0778101   .1330275     0.58   0.559    -.1838847    .3395049
          7  |  -.0326397   .1358229    -0.24   0.810    -.2998337    .2345543
          8  |  -.0247164   .1248562    -0.20   0.843    -.2703365    .2209036
          9  |  -.0837176   .1204472    -0.70   0.488    -.3206641    .1532289
         10  |  -.0721319   .1242986    -0.58   0.562     -.316655    .1723912
         11  |  -.0770064   .1241852    -0.62   0.536    -.3213063    .1672935
         12  |  -.0180504   .1271042    -0.14   0.887    -.2680927    .2319918
         13  |   -.061292    .126004    -0.49   0.627    -.3091698    .1865859
             |
       _cons |   .3002778   .1294791     2.32   0.021     .0455636     .554992
------------------------------------------------------------------------------
(704 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,286         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,286     .260344    .3935231          0   3.623332
(704 missing values generated)
(704 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,286
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 328)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6591
                                                    Adj R-squared     = 0.5408
                                                    Root MSE          = 0.1669

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .024946    .024847     1.00   0.316    -.0239336    .0738257
             |
 scale_group |
          2  |   .1478489   .0518296     2.85   0.005     .0458885    .2498093
          3  |          0  (omitted)
          4  |   .0888937   .0173495     5.12   0.000     .0547633    .1230241
          5  |   .0954252    .027184     3.51   0.001     .0419483    .1489022
          6  |   .1090252   .0351121     3.11   0.002     .0399517    .1780986
          7  |          0  (empty)
          8  |   .0034569   .0338305     0.10   0.919    -.0630953    .0700091
          9  |   .0591579   .0291007     2.03   0.043     .0019104    .1164055
         10  |  -.1290546   .0607719    -2.12   0.034    -.2486065   -.0095027
         11  |   .1254626   .0326633     3.84   0.000     .0612067    .1897186
         12  |   .0447109   .0386809     1.16   0.249    -.0313831    .1208048
             |
  year_group |
          5  |   .2012123   .0182699    11.01   0.000     .1652714    .2371532
          6  |   .4093916   .1610408     2.54   0.011     .0925886    .7261947
          7  |   .2953999   .1536233     1.92   0.055    -.0068115    .5976112
          8  |   .2849272    .145224     1.96   0.051    -.0007606    .5706151
          9  |   .2962081   .1411258     2.10   0.037     .0185822    .5738341
         10  |   .2915727   .1426466     2.04   0.042     .0109551    .5721903
         11  |   .3252966   .1430582     2.27   0.024     .0438692     .606724
         12  |   .3119498   .1436864     2.17   0.031     .0292866     .594613
         13  |   .2824368   .1438997     1.96   0.051    -.0006459    .5655195
             |
       _cons |   -.287528   .1423909    -2.02   0.044    -.5676425   -.0074134
------------------------------------------------------------------------------
(704 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,286         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,286    .1117696    .2495687          0    3.02047
(704 missing values generated)
(704 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,286
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 328)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8152
                                                    Adj R-squared     = 0.7511
                                                    Root MSE          = 0.2541

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0326645    .047341     0.69   0.491    -.0604659    .1257948
             |
 scale_group |
          2  |  -.0396554   .0819718    -0.48   0.629    -.2009123    .1216015
          3  |          0  (omitted)
          4  |  -.0115422   .0378678    -0.30   0.761    -.0860366    .0629522
          5  |  -.0291783   .0581155    -0.50   0.616    -.1435045    .0851479
          6  |  -.1125824   .0873513    -1.29   0.198     -.284422    .0592571
          7  |          0  (empty)
          8  |   .0272858   .0675322     0.40   0.686     -.105565    .1601366
          9  |   .0300553   .0737575     0.41   0.684    -.1150421    .1751527
         10  |  -.0850565   .0624146    -1.36   0.174    -.2078398    .0377269
         11  |   -.130711   .0533859    -2.45   0.015     -.235733    -.025689
         12  |     .00171   .0600482     0.03   0.977    -.1164182    .1198383
             |
  year_group |
          5  |  -.1808898   2.43e-08 -7.4e+06   0.000    -.1808898   -.1808897
          6  |   .5071753   .3214169     1.58   0.116    -.1251234    1.139474
          7  |  -.0474839   .0986286    -0.48   0.631    -.2415084    .1465407
          8  |  -.0207104    .070042    -0.30   0.768    -.1584987    .1170779
          9  |    .043484   .0536598     0.81   0.418    -.0620768    .1490448
         10  |   -.028225   .0669078    -0.42   0.673    -.1598477    .1033976
         11  |  -.1832239   .0690351    -2.65   0.008    -.3190314   -.0474164
         12  |  -.1550852   .0689148    -2.25   0.025    -.2906559   -.0195145
         13  |  -.1407921   .0713534    -1.97   0.049    -.2811601   -.0004241
             |
       _cons |   .3836694   .0745112     5.15   0.000     .2370892    .5302495
------------------------------------------------------------------------------
(704 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,286         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,286    .2842015    .5043624          0   3.914593
(704 missing values generated)
(704 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,286
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 328)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9784
                                                    Adj R-squared     = 0.9709
                                                    Root MSE          = 0.0887

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0188503   .0139081    -1.36   0.176    -.0462106    .0085101
             |
 scale_group |
          2  |   .0099709   .0257428     0.39   0.699    -.0406709    .0606128
          3  |          0  (omitted)
          4  |   .0115968   .0169489     0.68   0.494    -.0217453     .044939
          5  |   .0038292   .0181258     0.21   0.833    -.0318282    .0394866
          6  |   .0241743   .0356833     0.68   0.499    -.0460228    .0943713
          7  |          0  (empty)
          8  |  -.0345107   .0341096    -1.01   0.312    -.1016118    .0325904
          9  |   .0444703   .0192114     2.31   0.021     .0066773    .0822633
         10  |  -.0966042   .0744784    -1.30   0.196    -.2431199    .0499115
         11  |   .0308215   .0236111     1.31   0.193    -.0156268    .0772698
         12  |   .0181357   .0252718     0.72   0.473    -.0315796     .067851
             |
  year_group |
          5  |  -.2284143   .0052386   -43.60   0.000    -.2387197   -.2181088
          6  |  -.1309227   .0586417    -2.23   0.026     -.246284   -.0155614
          7  |  -.1018867   .0567572    -1.80   0.074    -.2135408    .0097673
          8  |  -.1054168   .0542775    -1.94   0.053    -.2121928    .0013592
          9  |  -.1124256   .0525844    -2.14   0.033    -.2158709   -.0089804
         10  |  -.1157588   .0538936    -2.15   0.032    -.2217794   -.0097381
         11  |  -.1188861   .0572071    -2.08   0.038    -.2314253    -.006347
         12  |    -.10841    .056527    -1.92   0.056    -.2196113    .0027912
         13  |  -.1010539   .0574517    -1.76   0.080    -.2140742    .0119664
             |
       _cons |     .44082   .0567035     7.77   0.000     .3292716    .5523683
------------------------------------------------------------------------------
(704 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,286         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,286    .3145756    .5044787          0   3.699753
(704 missing values generated)
(704 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,286
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 328)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9452
                                                    Adj R-squared     = 0.9261
                                                    Root MSE          = 0.1373

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0442357   .0267304    -1.65   0.099    -.0968203     .008349
             |
 scale_group |
          2  |  -.1483013   .0830771    -1.79   0.075    -.3117325    .0151299
          3  |          0  (omitted)
          4  |   .0293497   .0193059     1.52   0.129    -.0086293    .0673287
          5  |   .0346727   .0272537     1.27   0.204    -.0189415    .0882869
          6  |   .0102189   .0362021     0.28   0.778    -.0609986    .0814364
          7  |          0  (empty)
          8  |   .0083168    .034829     0.24   0.811    -.0601996    .0768333
          9  |   .0220962   .0323091     0.68   0.495    -.0414631    .0856554
         10  |   .0100824   .0284495     0.35   0.723     -.045884    .0660489
         11  |   .0228656   .0380473     0.60   0.548     -.051982    .0977131
         12  |  -.0777171   .0796132    -0.98   0.330    -.2343341    .0788998
             |
  year_group |
          5  |  -.3279094   1.86e-08 -1.8e+07   0.000    -.3279094   -.3279094
          6  |  -.9628269   .2431391    -3.96   0.000    -1.441136   -.4845181
          7  |  -1.049475    .228707    -4.59   0.000    -1.499393   -.5995575
          8  |  -1.021599   .2299307    -4.44   0.000    -1.473924   -.5692736
          9  |  -1.034152   .2244195    -4.61   0.000    -1.475635   -.5926692
         10  |   -1.01849     .22669    -4.49   0.000     -1.46444   -.5725401
         11  |  -.9891401   .2267532    -4.36   0.000    -1.435214   -.5430659
         12  |  -.9870983   .2271118    -4.35   0.000    -1.433878   -.5403187
         13  |  -1.008372   .2283686    -4.42   0.000    -1.457624   -.5591199
             |
       _cons |   1.345209   .2251312     5.98   0.000     .9023253    1.788092
------------------------------------------------------------------------------
(704 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,286         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,286    .3022567    .4952839          0   3.508987
(704 missing values generated)
(704 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,286
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 328)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8120
                                                    Adj R-squared     = 0.7467
                                                    Root MSE          = 0.2544

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.001597   .0491644    -0.03   0.974    -.0983143    .0951202
             |
 scale_group |
          2  |   .1171876   .0876524     1.34   0.182    -.0552443    .2896195
          3  |          0  (omitted)
          4  |   .0463144   .0374594     1.24   0.217    -.0273765    .1200054
          5  |   .0365609   .0551729     0.66   0.508    -.0719765    .1450982
          6  |   .0824491   .0839827     0.98   0.327    -.0827635    .2476617
          7  |          0  (empty)
          8  |   .1220829   .0696412     1.75   0.081    -.0149168    .2590826
          9  |   .1492807   .0815967     1.83   0.068    -.0112381    .3097996
         10  |   .1225309   .0847149     1.45   0.149    -.0441222    .2891839
         11  |   .0522743   .0637248     0.82   0.413    -.0730865    .1776352
         12  |   .1046114   .0696859     1.50   0.134    -.0324762     .241699
             |
  year_group |
          5  |  -.1792962   .0191651    -9.36   0.000    -.2169983   -.1415941
          6  |  -.0038037   .2823884    -0.01   0.989    -.5593245    .5517172
          7  |  -.1725126   .2376238    -0.73   0.468    -.6399715    .2949464
          8  |   -.318336    .228976    -1.39   0.165    -.7687828    .1321108
          9  |  -.2852824   .2223728    -1.28   0.200    -.7227393    .1521745
         10  |  -.2661318   .2255705    -1.18   0.239    -.7098793    .1776157
         11  |  -.2829414   .2271568    -1.25   0.214    -.7298094    .1639266
         12  |  -.2593584   .2274611    -1.14   0.255    -.7068251    .1881083
         13  |   -.300161   .2289133    -1.31   0.191    -.7504845    .1501626
             |
       _cons |   .5439459   .2273103     2.39   0.017     .0967759    .9911158
------------------------------------------------------------------------------
(704 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,286         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,286    .3328107    .5019433          0   2.846338

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(720 missing values generated)
(720 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,270
Absorbed variable: factor_pair                    No. of categories =      294
                                                  F(18, 322)        = 1.31e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7561
                                                  Adj R-squared     =   0.6769
                                                  Root MSE          =   0.2283

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0703032   .0440673    -1.60   0.112    -.1569994     .016393
             |
 scale_group |
          1  |          0  (empty)
          2  |   .2171322   .0980535     2.21   0.027     .0242258    .4100386
          3  |          0  (omitted)
          4  |   .0176988   .0565944     0.31   0.755    -.0936428    .1290404
          5  |  -.0386211   .0561152    -0.69   0.492    -.1490198    .0717776
          6  |  -.0141581   .0635392    -0.22   0.824    -.1391625    .1108462
          7  |          0  (omitted)
          8  |   .0081208   1.67e-08  4.9e+05   0.000     .0081208    .0081208
          9  |  -.0510433   .0647306    -0.79   0.431    -.1783917    .0763051
         10  |          0  (empty)
         11  |   .0384841   .0593545     0.65   0.517    -.0782874    .1552557
         12  |    .197725   .1095872     1.80   0.072    -.0178723    .4133222
             |
  year_group |
          5  |   .0314635   .0049972     6.30   0.000     .0216322    .0412947
          6  |  -.3120328   .2581951    -1.21   0.228    -.8199951    .1959296
          7  |    .051015   .1381995     0.37   0.712    -.2208729    .3229029
          8  |   .0413937   .1221644     0.34   0.735    -.1989474    .2817349
          9  |   .0471096   .1101747     0.43   0.669    -.1696436    .2638628
         10  |   .1244725   .1131758     1.10   0.272    -.0981849    .3471299
         11  |   .2035453   .1198602     1.70   0.090    -.0322627    .4393533
         12  |   .1791903   .1198469     1.50   0.136    -.0565916    .4149722
         13  |   .1750607   .1235434     1.42   0.157    -.0679935    .4181148
             |
       _cons |   .0714676   .1193094     0.60   0.550    -.1632568    .3061921
------------------------------------------------------------------------------
(720 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,270         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,270     .214138    .3943905          0   2.829023
(720 missing values generated)
(720 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,270
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(0, 322)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8099
                                                    Adj R-squared     = 0.7482
                                                    Root MSE          = 0.2404

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0198953          .        .       .            .           .
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |  -.1191843          .        .       .            .           .
          4  |   .0249631          .        .       .            .           .
          5  |  -.0276495          .        .       .            .           .
          6  |  -.0493456          .        .       .            .           .
          7  |          0  (omitted)
          8  |   8.62e-17          .        .       .            .           .
          9  |  -.0043414          .        .       .            .           .
         10  |          0  (empty)
         11  |  -.0270986          .        .       .            .           .
         12  |   .0237243          .        .       .            .           .
             |
  year_group |
          5  |  -.4066217          .        .       .            .           .
          6  |  -.4680199          .        .       .            .           .
          7  |  -.4271744          .        .       .            .           .
          8  |   -.368799          .        .       .            .           .
          9  |  -.3618632          .        .       .            .           .
         10  |  -.2928278          .        .       .            .           .
         11  |  -.2012682          .        .       .            .           .
         12  |  -.2933065          .        .       .            .           .
         13  |  -.2011647          .        .       .            .           .
             |
       _cons |   .5600875          .        .       .            .           .
------------------------------------------------------------------------------
(720 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,270         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,270    .2500009     .457075          0   4.224475
(720 missing values generated)
(720 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,270
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(18, 322)        =   5.61
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7337
                                                    Adj R-squared     = 0.6473
                                                    Root MSE          = 0.2103

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0416186   .0415646     1.00   0.317    -.0401538     .123391
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0980019   .0615556    -1.59   0.112    -.2191039       .0231
          3  |          0  (omitted)
          4  |   .0526918    .041101     1.28   0.201    -.0281687    .1335522
          5  |   .0108006    .042524     0.25   0.800    -.0728594    .0944606
          6  |  -.0227032   .0452334    -0.50   0.616    -.1116935    .0662871
          7  |          0  (omitted)
          8  |  -1.34e-15   1.53e-08    -0.00   1.000    -3.02e-08    3.02e-08
          9  |   .0169654   .0519673     0.33   0.744    -.0852729    .1192036
         10  |          0  (empty)
         11  |   .0429439    .039607     1.08   0.279    -.0349773    .1208651
         12  |  -.1608659   .0424101    -3.79   0.000    -.2443018   -.0774301
             |
  year_group |
          5  |   .1986868   .0811575     2.45   0.015      .039021    .3583526
          6  |  -.0673739   .1158406    -0.58   0.561    -.2952739    .1605261
          7  |  -.0573784   .1104993    -0.52   0.604    -.2747702    .1600133
          8  |  -.0438709   .1046177    -0.42   0.675    -.2496914    .1619495
          9  |   -.103658   .0908446    -1.14   0.255    -.2823819    .0750659
         10  |  -.0793038   .0934932    -0.85   0.397    -.2632385    .1046309
         11  |  -.1045484   .0943423    -1.11   0.269    -.2901536    .0810569
         12  |  -.1001588   .0993636    -1.01   0.314    -.2956426     .095325
         13  |  -.0625727   .0962304    -0.65   0.516    -.2518924    .1267469
             |
       _cons |   .3000563   .0948838     3.16   0.002     .1133859    .4867266
------------------------------------------------------------------------------
(720 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,270         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,270    .2376585    .3542125          0   2.619737
(720 missing values generated)
(720 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,270
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(18, 322)        =   1.71
                                                    Prob > F          = 0.0366
                                                    R-squared         = 0.4545
                                                    Adj R-squared     = 0.2774
                                                    Root MSE          = 0.2432

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0291618    .047105    -0.62   0.536    -.1218343    .0635107
             |
 scale_group |
          1  |          0  (empty)
          2  |          0  (omitted)
          3  |   .3334147   .2687564     1.24   0.216    -.1953254    .8621548
          4  |   .1082843   .0425453     2.55   0.011     .0245824    .1919861
          5  |   .0824275    .039677     2.08   0.039     .0043686    .1604863
          6  |   .1260183   .0391596     3.22   0.001     .0489774    .2030592
          7  |  -3.77e-15   1.71e-08    -0.00   1.000    -3.36e-08    3.36e-08
          8  |          0  (omitted)
          9  |  -.0254399    .048379    -0.53   0.599    -.1206187    .0697389
         10  |          0  (empty)
         11  |   .1325406   .0432538     3.06   0.002      .047445    .2176363
         12  |  -.0604154    .062328    -0.97   0.333    -.1830369    .0622061
             |
  year_group |
          5  |   .0493401   .0293382     1.68   0.094    -.0083786    .1070588
          6  |   .1727439   .1197324     1.44   0.150    -.0628126    .4083003
          7  |   .1732469   .1268753     1.37   0.173    -.0763623    .4228562
          8  |   .1031567   .0929539     1.11   0.268     -.079717    .2860304
          9  |   .0850085   .0790005     1.08   0.283    -.0704139    .2404309
         10  |   .0545876   .0821616     0.66   0.507    -.1070538     .216229
         11  |   .0853386   .0825696     1.03   0.302    -.0771054    .2477826
         12  |    .084027   .0832754     1.01   0.314    -.0798056    .2478595
         13  |   .0489931   .0838101     0.58   0.559    -.1158915    .2138777
             |
       _cons |    .008528   .0853087     0.10   0.920    -.1593049    .1763609
------------------------------------------------------------------------------
(720 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,270         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,270    .1328892    .2784814          0   2.466912
(720 missing values generated)
(720 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,270
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(17, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8035
                                                    Adj R-squared     = 0.7397
                                                    Root MSE          = 0.2397

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0723249    .044921     1.61   0.108    -.0160508    .1607006
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.1284456   .1383654    -0.93   0.354    -.4006599    .1437686
          3  |          0  (omitted)
          4  |  -.0443588   .0453454    -0.98   0.329    -.1335695    .0448519
          5  |  -.0173475   .0548694    -0.32   0.752    -.1252952    .0906003
          6  |  -.0924677   .0715049    -1.29   0.197    -.2331435     .048208
          7  |          0  (omitted)
          8  |   .0009499          .        .       .            .           .
          9  |   .0189398   .0703799     0.27   0.788    -.1195227    .1574023
         10  |          0  (empty)
         11  |  -.0911676   .0495759    -1.84   0.067    -.1887012     .006366
         12  |  -.0794171   .1267906    -0.63   0.532    -.3288596    .1700255
             |
  year_group |
          5  |   .0287596   .0816856     0.35   0.725    -.1319454    .1894645
          6  |   .5563131   .4791166     1.16   0.246     -.386281    1.498907
          7  |   .1178897    .181056     0.65   0.515    -.2383124    .4740918
          8  |   .1711158   .1593392     1.07   0.284    -.1423616    .4845931
          9  |   .1926948   .1513413     1.27   0.204    -.1050478    .4904374
         10  |   .0929459   .1552304     0.60   0.550     -.212448    .3983398
         11  |  -.0259467   .1576939    -0.16   0.869    -.3361871    .2842937
         12  |  -.0290693   .1587234    -0.18   0.855     -.341335    .2831965
         13  |   -.011015   .1588621    -0.07   0.945    -.3235537    .3015237
             |
       _cons |   .2314983   .1578066     1.47   0.143    -.0789639    .5419606
------------------------------------------------------------------------------
(720 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,270         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,270     .255893     .461664          0    3.58925
(720 missing values generated)
(720 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,270
Absorbed variable: factor_pair                    No. of categories =      294
                                                  F(18, 322)        = 1.94e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9679
                                                  Adj R-squared     =   0.9575
                                                  Root MSE          =   0.1027

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0177463   .0162492    -1.09   0.276    -.0497143    .0142216
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0039998   .0190453     0.21   0.834    -.0334692    .0414688
          3  |          0  (omitted)
          4  |   .0658212   .0333794     1.97   0.049      .000152    .1314904
          5  |   .0532372   .0322535     1.65   0.100    -.0102169    .1166914
          6  |   .0671277   .0454585     1.48   0.141    -.0223054    .1565609
          7  |          0  (omitted)
          8  |   .0083228   1.41e-08  5.9e+05   0.000     .0083228    .0083229
          9  |   .0824365   .0343077     2.40   0.017     .0149409    .1499321
         10  |          0  (empty)
         11  |   .0750331   .0481711     1.56   0.120    -.0197367    .1698028
         12  |   .0075211   .0172261     0.44   0.663    -.0263689    .0414111
             |
  year_group |
          5  |  -.1263787   .0210482    -6.00   0.000    -.1677881   -.0849693
          6  |   .0201141    .121383     0.17   0.868    -.2186899     .258918
          7  |  -.0856968   .0261625    -3.28   0.001    -.1371678   -.0342258
          8  |  -.0949794   .0254692    -3.73   0.000    -.1450864   -.0448724
          9  |  -.0872992    .021631    -4.04   0.000     -.129855   -.0447433
         10  |  -.0973292    .023237    -4.19   0.000    -.1430447   -.0516136
         11  |  -.0713053   .0313001    -2.28   0.023    -.1328839   -.0097268
         12  |  -.0927573   .0292612    -3.17   0.002    -.1503246     -.03519
         13  |  -.0970882   .0319439    -3.04   0.003    -.1599333    -.034243
             |
       _cons |    .364734   .0350171    10.42   0.000     .2958428    .4336252
------------------------------------------------------------------------------
(720 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,270         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,270    .2917394    .4788064          0   2.271407
(720 missing values generated)
(720 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,270
Absorbed variable: factor_pair                      No. of categories =    294
                                                    F(18, 322)        =   7.23
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9520
                                                    Adj R-squared     = 0.9364
                                                    Root MSE          = 0.1206

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0256732   .0243696    -1.05   0.293     -.073617    .0222705
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0316626   .0751028    -0.42   0.674    -.1794167    .1160915
          3  |          0  (omitted)
          4  |  -.0072322   .0197242    -0.37   0.714    -.0460368    .0315724
          5  |  -.0072697   .0208367    -0.35   0.727     -.048263    .0337236
          6  |  -.0163306   .0247607    -0.66   0.510    -.0650437    .0323825
          7  |  -9.93e-09   1.35e-08    -0.73   0.463    -3.66e-08    1.67e-08
          8  |          0  (omitted)
          9  |  -.0000324    .033378    -0.00   0.999    -.0656989    .0656342
         10  |          0  (empty)
         11  |  -.0138153   .0235455    -0.59   0.558    -.0601377     .032507
         12  |  -.0608812   .0667723    -0.91   0.363    -.1922464    .0704839
             |
  year_group |
          5  |  -.2059402   .0252896    -8.14   0.000     -.255694   -.1561865
          6  |  -.6267952   .1646962    -3.81   0.000    -.9508117   -.3027788
          7  |  -.7770592   .0900227    -8.63   0.000    -.9541662   -.5999523
          8  |   -.786497   .0878897    -8.95   0.000    -.9594076   -.6135863
          9  |  -.7529482    .085247    -8.83   0.000    -.9206596   -.5852368
         10  |  -.7405063   .0869914    -8.51   0.000    -.9116497    -.569363
         11  |  -.7180547   .0885857    -8.11   0.000    -.8923345   -.5437749
         12  |  -.7102567   .0892866    -7.95   0.000    -.8859155   -.5345979
         13  |  -.6664688   .0901829    -7.39   0.000    -.8438908   -.4890467
             |
       _cons |   1.052278   .0874344    12.04   0.000     .8802637    1.224293
------------------------------------------------------------------------------
(720 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,270         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,270    .2895284    .4679793          0   2.097968
(720 missing values generated)
(720 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,270
Absorbed variable: factor_pair                    No. of categories =      294
                                                  F(18, 322)        = 1.07e+09
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7569
                                                  Adj R-squared     =   0.6780
                                                  Root MSE          =   0.2993

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0465763   .0557456     0.84   0.404    -.0630952    .1562478
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.3705536   .2565079    -1.44   0.150    -.8751967    .1340895
          3  |          0  (omitted)
          4  |  -.0243057   .0488251    -0.50   0.619    -.1203623    .0717509
          5  |   -.057574    .043902    -1.31   0.191    -.1439449    .0287969
          6  |  -.0724192   .0568371    -1.27   0.204    -.1842381    .0393997
          7  |          0  (omitted)
          8  |  -.0035066   2.52e-08 -1.4e+05   0.000    -.0035067   -.0035066
          9  |   .0492226   .0597217     0.82   0.410    -.0682714    .1667166
         10  |          0  (empty)
         11  |  -.0095031   .0552827    -0.17   0.864    -.1182641    .0992578
         12  |  -.3084913   .2528503    -1.22   0.223    -.8059385     .188956
             |
  year_group |
          5  |  -.1654774   .0102421   -16.16   0.000    -.1856273   -.1453275
          6  |  -.6090273   .2187879    -2.78   0.006    -1.039462    -.178593
          7  |   -.300293   .0871656    -3.45   0.001    -.4717791   -.1288069
          8  |  -.3080022   .0648317    -4.75   0.000    -.4355495   -.1804549
          9  |  -.3458239   .0335374   -10.31   0.000    -.4118041   -.2798437
         10  |  -.3427327   .0431168    -7.95   0.000    -.4275589   -.2579064
         11  |  -.3613286   .0525319    -6.88   0.000    -.4646777   -.2579795
         12  |  -.3942455    .059982    -6.57   0.000    -.5122515   -.2762395
         13  |  -.2439885   .0605002    -4.03   0.000    -.3630141   -.1249628
             |
       _cons |   .7748704   .0811748     9.55   0.000     .6151705    .9345704
------------------------------------------------------------------------------
(720 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,270         770           0        770        770

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,270    .3512567    .5175807          0   2.817659

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(654 missing values generated)
(654 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,336
Absorbed variable: factor_pair                      No. of categories =    329
                                                    F(19, 328)        =   7.48
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7873
                                                    Adj R-squared     = 0.7126
                                                    Root MSE          = 0.2113

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0392554   .0531778     0.74   0.461    -.0653572     .143868
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1022826   .0729463    -1.40   0.162    -.2457843    .0412191
          4  |   .1421203   .0300559     4.73   0.000     .0829936     .201247
          5  |   .0466867   .0337697     1.38   0.168    -.0197459    .1131192
          6  |   .1032964   .0548525     1.88   0.061    -.0046107    .2112036
          7  |          0  (empty)
          8  |   .1439042    .053515     2.69   0.008     .0386282    .2491802
          9  |    .137141   .0423288     3.24   0.001     .0538709    .2204111
         10  |  -.0019105   .0419479    -0.05   0.964    -.0844313    .0806103
         11  |   .1794757   .0429242     4.18   0.000     .0950342    .2639172
         12  |  -.0076728   .0508739    -0.15   0.880    -.1077532    .0924075
             |
  year_group |
          5  |   .0341385    .004943     6.91   0.000     .0244146    .0438625
          6  |  -.1707694   .1001698    -1.70   0.089    -.3678258     .026287
          7  |   .3478105   .1198247     2.90   0.004     .1120886    .5835324
          8  |   .2233785   .0951262     2.35   0.019     .0362442    .4105128
          9  |    .268299   .0957622     2.80   0.005     .0799134    .4566846
         10  |   .2782438   .0911429     3.05   0.002     .0989454    .4575422
         11  |   .3598785   .0985611     3.65   0.000     .1659869    .5537701
         12  |   .3960843   .0968132     4.09   0.000     .2056311    .5865375
         13  |    .346132   .0973508     3.56   0.000     .1546213    .5376426
             |
       _cons |  -.1960175   .0973992    -2.01   0.045    -.3876234   -.0044116
------------------------------------------------------------------------------
(654 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,336         794           0        794        794

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,336    .2162653    .3946262          0   2.520236
(654 missing values generated)
(654 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,336
Absorbed variable: factor_pair                      No. of categories =    329
                                                    F(18, 328)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8585
                                                    Adj R-squared     = 0.8087
                                                    Root MSE          = 0.2056

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0309512   .0463546     0.67   0.505    -.0602387    .1221411
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0029305   .0651332    -0.04   0.964    -.1310621     .125201
          4  |   .1229557   .0312734     3.93   0.000      .061434    .1844774
          5  |   .0829584   .0334361     2.48   0.014     .0171821    .1487348
          6  |    .136311   .0434107     3.14   0.002     .0509124    .2217095
          7  |          0  (empty)
          8  |   .1258302   .0461597     2.73   0.007     .0350239    .2166365
          9  |   .1005333   .0340513     2.95   0.003     .0335469    .1675197
         10  |     .07352   .0486045     1.51   0.131    -.0220959    .1691359
         11  |   .1263004   .0403897     3.13   0.002     .0468449    .2057559
         12  |  -.0028801    .056247    -0.05   0.959    -.1135305    .1077702
             |
  year_group |
          5  |  -.4078427          .        .       .            .           .
          6  |  -.2916489   .1733937    -1.68   0.094    -.6327529     .049455
          7  |  -.2936431   .1390012    -2.11   0.035    -.5670895   -.0201968
          8  |   -.201581   .1352152    -1.49   0.137    -.4675794    .0644173
          9  |  -.2004463   .1353125    -1.48   0.139    -.4666362    .0657435
         10  |   -.118534   .1326334    -0.89   0.372    -.3794535    .1423855
         11  |  -.0671778   .1377513    -0.49   0.626    -.3381653    .2038098
         12  |  -.1066261   .1371877    -0.78   0.438    -.3765049    .1632527
         13  |  -.1135806   .1421107    -0.80   0.425    -.3931441    .1659829
             |
       _cons |   .3240843   .1376681     2.35   0.019     .0532604    .5949081
------------------------------------------------------------------------------
(654 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,336         794           0        794        794

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,336    .2766572    .4776661          0   3.267427
(654 missing values generated)
(654 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,336
Absorbed variable: factor_pair                      No. of categories =    329
                                                    F(19, 328)        =   5.79
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7564
                                                    Adj R-squared     = 0.6708
                                                    Root MSE          = 0.1926

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0178224   .0298321     0.60   0.551    -.0408639    .0765088
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0067578   .1023487    -0.07   0.947    -.2081005    .1945849
          4  |   .0128739   .0222321     0.58   0.563    -.0308615    .0566094
          5  |  -.0406614   .0251621    -1.62   0.107    -.0901609    .0088381
          6  |  -.0924433   .0349899    -2.64   0.009    -.1612763   -.0236104
          7  |          0  (empty)
          8  |  -.0695645   .0333511    -2.09   0.038    -.1351736   -.0039555
          9  |   .0155325   .0455928     0.34   0.734    -.0741587    .1052237
         10  |   .0410948   .0381282     1.08   0.282    -.0339119    .1161015
         11  |  -.0410832   .0292392    -1.41   0.161    -.0986032    .0164367
         12  |  -.0005787   .0462809    -0.01   0.990    -.0916235    .0904661
             |
  year_group |
          5  |   .1473791   .0607991     2.42   0.016     .0277737    .2669844
          6  |  -.1370512   .0936424    -1.46   0.144    -.3212667    .0471643
          7  |  -.1153545   .0931913    -1.24   0.217    -.2986826    .0679736
          8  |  -.1562187    .079657    -1.96   0.051    -.3129217    .0004844
          9  |  -.1616759    .081444    -1.99   0.048    -.3218945   -.0014574
         10  |  -.1678139   .0792341    -2.12   0.035     -.323685   -.0119428
         11  |  -.1862664    .080649    -2.31   0.022    -.3449209   -.0276119
         12  |  -.1819858    .082469    -2.21   0.028    -.3442206   -.0197509
         13  |  -.1772366   .0810886    -2.19   0.030    -.3367558   -.0177173
             |
       _cons |   .3837271   .0818006     4.69   0.000     .2228071    .5446471
------------------------------------------------------------------------------
(654 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,336         794           0        794        794

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,336    .2304837    .3598601          0   2.718667
(654 missing values generated)
(654 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,336
Absorbed variable: factor_pair                      No. of categories =    329
                                                    F(19, 328)        =   1.59
                                                    Prob > F          = 0.0578
                                                    R-squared         = 0.5902
                                                    Adj R-squared     = 0.4462
                                                    Root MSE          = 0.2169

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0642405   .0471164    -1.36   0.174    -.1569289     .028448
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2997092   .2614269     1.15   0.252    -.2145759    .8139942
          4  |   .0354721   .0363741     0.98   0.330    -.0360838    .1070281
          5  |   .0370529   .0398009     0.93   0.353    -.0412443    .1153501
          6  |   .0804529   .0528079     1.52   0.129    -.0234321    .1843378
          7  |          0  (empty)
          8  |  -.0430282   .0498754    -0.86   0.389    -.1411442    .0550879
          9  |  -.0298413   .0440753    -0.68   0.499    -.1165473    .0568646
         10  |    -.00241   .0413157    -0.06   0.954    -.0836873    .0788672
         11  |   .0259725   .0405954     0.64   0.523    -.0538878    .1058327
         12  |   .0017303   .0618786     0.03   0.978    -.1199987    .1234593
             |
  year_group |
          5  |   .1468264   .1033091     1.42   0.156    -.0564057    .3500584
          6  |   .2305708   .2300173     1.00   0.317    -.2219245    .6830661
          7  |    .124231   .1986401     0.63   0.532    -.2665384    .5150004
          8  |   .0480199   .1856577     0.26   0.796    -.3172103      .41325
          9  |  -.0125523   .1888082    -0.07   0.947    -.3839801    .3588755
         10  |  -.0076578   .1887629    -0.04   0.968    -.3789965    .3636809
         11  |   .0070492   .1903219     0.04   0.970    -.3673564    .3814548
         12  |   .0017695    .190015     0.01   0.993    -.3720323    .3755713
         13  |  -.0038959   .1914616    -0.02   0.984    -.3805436    .3727518
             |
       _cons |   .1251254   .1913207     0.65   0.514    -.2512451    .5014958
------------------------------------------------------------------------------
(654 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,336         794           0        794        794

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,336    .1291428    .2933098          0    2.54116
(654 missing values generated)
(654 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,336
Absorbed variable: factor_pair                      No. of categories =    329
                                                    F(19, 328)        =  15.47
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7844
                                                    Adj R-squared     = 0.7086
                                                    Root MSE          = 0.2499

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .006781   .0428255     0.16   0.874    -.0774664    .0910284
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0664894   .0743654     0.89   0.372    -.0798039    .2127827
          4  |  -.0050615    .026302    -0.19   0.848    -.0568035    .0466804
          5  |   .0468059   .0280557     1.67   0.096    -.0083858    .1019977
          6  |   -.099559   .0533534    -1.87   0.063    -.2045171     .005399
          7  |          0  (empty)
          8  |  -.0096141   .0500749    -0.19   0.848    -.1081225    .0888943
          9  |  -.0849979   .0681624    -1.25   0.213    -.2190885    .0490927
         10  |  -.2022268   .0581515    -3.48   0.001    -.3166238   -.0878297
         11  |  -.1584262     .04086    -3.88   0.000    -.2388069   -.0780455
         12  |   .0087325   .0416685     0.21   0.834    -.0732388    .0907038
             |
  year_group |
          5  |   .0294914   .0822224     0.36   0.720    -.1322584    .1912412
          6  |   .6163947   .3500745     1.76   0.079    -.0722798    1.305069
          7  |  -.0982179   .2653087    -0.37   0.711    -.6201391    .4237034
          8  |   .0064037   .2475177     0.03   0.979    -.4805187    .4933262
          9  |   .0773917   .2516263     0.31   0.759    -.4176133    .5723966
         10  |   .0689068   .2486096     0.28   0.782    -.4201637    .5579773
         11  |  -.0308644   .2519981    -0.12   0.903    -.5266009    .4648721
         12  |   -.013005   .2521532    -0.05   0.959    -.5090466    .4830367
         13  |   .0038661   .2529246     0.02   0.988    -.4936929     .501425
             |
       _cons |   .2464798   .2441541     1.01   0.313    -.2338256    .7267853
------------------------------------------------------------------------------
(654 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,336         794           0        794        794

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,336    .2626241    .4617996          0    3.72142
(654 missing values generated)
(654 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,336
Absorbed variable: factor_pair                      No. of categories =    329
                                                    F(19, 328)        =   4.69
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9652
                                                    Adj R-squared     = 0.9530
                                                    Root MSE          = 0.1034

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .011145   .0219227     0.51   0.612    -.0319818    .0542719
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0072654   .0158512     0.46   0.647    -.0239175    .0384482
          4  |   .0306246   .0175571     1.74   0.082    -.0039142    .0651633
          5  |   .0052483   .0150516     0.35   0.728    -.0243615    .0348582
          6  |   .0742948   .0573023     1.30   0.196    -.0384316    .1870212
          7  |          0  (empty)
          8  |  -.0095201   .0336794    -0.28   0.778    -.0757749    .0567348
          9  |   .0114906   .0144963     0.79   0.429     -.017027    .0400081
         10  |  -.0613067   .0673965    -0.91   0.364    -.1938907    .0712772
         11  |   .0341289   .0246628     1.38   0.167    -.0143883    .0826461
         12  |  -.0057766   .0207379    -0.28   0.781    -.0465728    .0350195
             |
  year_group |
          5  |  -.1117527   .0185939    -6.01   0.000    -.1483311   -.0751742
          6  |   .0958181   .0545714     1.76   0.080    -.0115359    .2031722
          7  |  -.0193954   .0422058    -0.46   0.646    -.1024236    .0636328
          8  |  -.0181073   .0405236    -0.45   0.655    -.0978262    .0616117
          9  |  -.0108895   .0427517    -0.25   0.799    -.0949917    .0732126
         10  |  -.0260265   .0411453    -0.63   0.527    -.1069686    .0549155
         11  |  -.0061626   .0459217    -0.13   0.893    -.0965007    .0841755
         12  |  -.0075767   .0449825    -0.17   0.866    -.0960674     .080914
         13  |  -.0091631   .0463394    -0.20   0.843     -.100323    .0819969
             |
       _cons |   .2993088   .0439245     6.81   0.000     .2128995    .3857181
------------------------------------------------------------------------------
(654 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,336         794           0        794        794

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,336    .2910625    .4671364          0   2.881621
(654 missing values generated)
(654 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,336
Absorbed variable: factor_pair                      No. of categories =    329
                                                    F(19, 328)        =   6.33
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9443
                                                    Adj R-squared     = 0.9248
                                                    Root MSE          = 0.1273

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0093749   .0353478    -0.27   0.791     -.078912    .0601621
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .059278   .0845199     0.70   0.484    -.1069915    .2255476
          4  |   .0337188   .0224746     1.50   0.134    -.0104938    .0779314
          5  |   .0294443   .0260053     1.13   0.258     -.021714    .0806026
          6  |   .0395992   .0320025     1.24   0.217    -.0233569    .1025554
          7  |          0  (empty)
          8  |   .0479697   .0418119     1.15   0.252    -.0342836    .1302229
          9  |   .0528133    .033541     1.57   0.116    -.0131694    .1187959
         10  |   .0206289   .0273958     0.75   0.452    -.0332646    .0745225
         11  |   .0291248    .035189     0.83   0.408    -.0400997    .0983493
         12  |  -.0367355   .0781691    -0.47   0.639    -.1905116    .1170405
             |
  year_group |
          5  |  -.1917712   .0229062    -8.37   0.000    -.2368328   -.1467096
          6  |   -.473369   .0539064    -8.78   0.000    -.5794148   -.3673232
          7  |  -.4511096   .0672206    -6.71   0.000    -.5833476   -.3188717
          8  |  -.4326591    .058549    -7.39   0.000     -.547838   -.3174802
          9  |   -.437839   .0606523    -7.22   0.000    -.5571556   -.3185224
         10  |  -.4459226   .0600561    -7.43   0.000    -.5640662   -.3277789
         11  |  -.3875377   .0638486    -6.07   0.000    -.5131421   -.2619334
         12  |  -.4136494   .0623336    -6.64   0.000    -.5362734   -.2910253
         13  |  -.3878356   .0653126    -5.94   0.000    -.5163199   -.2593512
             |
       _cons |   .7010535   .0654263    10.72   0.000     .5723454    .8297616
------------------------------------------------------------------------------
(654 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,336         794           0        794        794

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,336    .2824014    .4575708          0   3.002391
(654 missing values generated)
(654 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,336
Absorbed variable: factor_pair                      No. of categories =    329
                                                    F(19, 328)        =   3.28
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7783
                                                    Adj R-squared     = 0.7004
                                                    Root MSE          = 0.2801

                        (Std. err. adjusted for 329 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0277708   .0538583    -0.52   0.606     -.133722    .0781804
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .4683275   .1978728     2.37   0.019     .0790677    .8575874
          4  |  -.0291606   .0349029    -0.84   0.404    -.0978224    .0395012
          5  |  -.0144798   .0418019    -0.35   0.729    -.0967134    .0677539
          6  |   .0476043   .0693761     0.69   0.493    -.0888739    .1840825
          7  |          0  (empty)
          8  |  -.1104544   .0722461    -1.53   0.127    -.2525786    .0316698
          9  |   .0042608   .0566066     0.08   0.940     -.107097    .1156187
         10  |  -.1533128   .0557975    -2.75   0.006     -.263079   -.0435467
         11  |   .0026994   .0465748     0.06   0.954    -.0889235    .0943223
         12  |   .1036099     .05654     1.83   0.068    -.0076169    .2148367
             |
  year_group |
          5  |  -.1417564   .0311718    -4.55   0.000    -.2030783   -.0804345
          6  |    .096397   .1086863     0.89   0.376    -.1174131    .3102071
          7  |  -.1974698   .1375593    -1.44   0.152    -.4680796      .07314
          8  |  -.2291781   .1044883    -2.19   0.029    -.4347298   -.0236264
          9  |  -.2833094   .1033745    -2.74   0.006      -.48667   -.0799488
         10  |  -.1921768   .1017161    -1.89   0.060     -.392275    .0079213
         11  |   -.180943   .1069699    -1.69   0.092    -.3913765    .0294906
         12  |   -.190831   .1064396    -1.79   0.074    -.4002214    .0185593
         13  |  -.2072023   .1065371    -1.94   0.053    -.4167845    .0023799
             |
       _cons |    .549817   .1092448     5.03   0.000     .3349082    .7647258
------------------------------------------------------------------------------
(654 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,336         794           0        794        794

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,336    .3358478    .5035173          0   3.031938

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(804 missing values generated)
(804 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,186
Absorbed variable: factor_pair                    No. of categories =      300
                                                  F(17, 312)        = 1.39e+09
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7682
                                                  Adj R-squared     =   0.6839
                                                  Root MSE          =   0.2323

                        (Std. err. adjusted for 313 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0643228   .0497818    -1.29   0.197    -.1622733    .0336277
             |
 scale_group |
          2  |   .2350369   .1283345     1.83   0.068    -.0174738    .4875475
          3  |          0  (omitted)
          4  |   .0075184   .0794994     0.09   0.925    -.1489043    .1639411
          5  |  -.1083481   .0806768    -1.34   0.180    -.2670876    .0503914
          6  |  -.0531521   .0934126    -0.57   0.570    -.2369505    .1306463
          7  |  -.0077336   5.03e-08 -1.5e+05   0.000    -.0077337   -.0077335
          8  |          0  (omitted)
          9  |  -.0149294   .0802698    -0.19   0.853    -.1728679    .1430091
         10  |          0  (empty)
         11  |   .0930409    .071342     1.30   0.193    -.0473314    .2334131
         12  |   .1464108   .1031489     1.42   0.157    -.0565447    .3493663
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3537075    .186481    -1.90   0.059    -.7206269    .0132118
          7  |  -.1931589   .2173713    -0.89   0.375    -.6208579    .2345402
          8  |  -.2072269   .2135892    -0.97   0.333    -.6274843    .2130304
          9  |   -.149655   .2018067    -0.74   0.459    -.5467292    .2474192
         10  |  -.1002194   .2069085    -0.48   0.628    -.5073319    .3068931
         11  |  -.0525902   .2105742    -0.25   0.803    -.4669152    .3617348
         12  |   -.017795    .209419    -0.08   0.932    -.4298471     .394257
         13  |  -.0617954   .2089956    -0.30   0.768    -.4730143    .3494236
             |
       _cons |   .3156537   .2109619     1.50   0.136    -.0994341    .7307416
------------------------------------------------------------------------------
(804 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,186         742           0        742        742

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,186    .2175174    .4142413          0   2.804984
(804 missing values generated)
(804 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,186
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(16, 312)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8655
                                                    Adj R-squared     = 0.8166
                                                    Root MSE          = 0.1978

                        (Std. err. adjusted for 313 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0360454   .0490956    -0.73   0.463    -.1326457    .0605549
             |
 scale_group |
          2  |   .1507858   .0729061     2.07   0.039      .007336    .2942357
          3  |          0  (omitted)
          4  |   .0405543   .0402669     1.01   0.315    -.0386747    .1197832
          5  |  -.0029239   .0398011    -0.07   0.941    -.0812364    .0753886
          6  |  -.0002589   .0576606    -0.00   0.996    -.1137117    .1131938
          7  |  -9.93e-09          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0250341   .0472553     0.53   0.597    -.0679454    .1180135
         10  |          0  (empty)
         11  |   .0349403   .0478321     0.73   0.466    -.0591739    .1290546
         12  |    .158974   .0584412     2.72   0.007     .0439853    .2739627
             |
  year_group |
          5  |          0  (empty)
          6  |  -.6377605   .3073505    -2.08   0.039    -1.242502   -.0330187
          7  |  -.7404567   .2223915    -3.33   0.001    -1.178034   -.3028799
          8  |  -.6619032    .213461    -3.10   0.002    -1.081908   -.2418981
          9  |   -.666246   .2152975    -3.09   0.002    -1.089865   -.2426274
         10  |  -.5795221   .2162148    -2.68   0.008    -1.004946   -.1540986
         11  |  -.5132322   .2200708    -2.33   0.020    -.9462428   -.0802217
         12  |  -.5619695    .218814    -2.57   0.011    -.9925071   -.1314318
         13  |  -.5240554   .2234917    -2.34   0.020    -.9637969    -.084314
             |
       _cons |   .8113185   .2177394     3.73   0.000     .3828951    1.239742
------------------------------------------------------------------------------
(804 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,186         742           0        742        742

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,186    .2590328    .4739628          0   3.204748
(804 missing values generated)
(804 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,186
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(16, 312)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7857
                                                    Adj R-squared     = 0.7078
                                                    Root MSE          = 0.1971

                        (Std. err. adjusted for 313 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0064197   .0301106     0.21   0.831    -.0528258    .0656652
             |
 scale_group |
          2  |  -.0167834   .0979539    -0.17   0.864    -.2095171    .1759502
          3  |          0  (omitted)
          4  |   .1061326   .0321364     3.30   0.001     .0429011    .1693641
          5  |   .0444912   .0351118     1.27   0.206    -.0245947    .1135771
          6  |   .0706116   .0444122     1.59   0.113    -.0167736    .1579968
          7  |   9.93e-09          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0625723   .0437301     1.43   0.153    -.0234709    .1486155
         10  |          0  (empty)
         11  |   .0871787   .0383168     2.28   0.024     .0117868    .1625706
         12  |  -.0754175     .04217    -1.79   0.075     -.158391     .007556
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1789131    .266898    -0.67   0.503    -.7040607    .3462345
          7  |  -.0962291   .2225392    -0.43   0.666    -.5340964    .3416383
          8  |  -.0682354   .2130077    -0.32   0.749    -.4873485    .3508778
          9  |  -.1498964   .2205842    -0.68   0.497    -.5839171    .2841243
         10  |  -.1434278   .2196616    -0.65   0.514    -.5756331    .2887775
         11  |  -.1687202    .220213    -0.77   0.444    -.6020106    .2645702
         12  |  -.1541029   .2218031    -0.69   0.488    -.5905219    .2823161
         13  |  -.1343871   .2218211    -0.61   0.545    -.5708414    .3020673
             |
       _cons |   .3109167   .2183098     1.42   0.155    -.1186289    .7404624
------------------------------------------------------------------------------
(804 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,186         742           0        742        742

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,186    .2260353    .3831164          0   3.281647
(804 missing values generated)
(804 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,186
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(17, 312)        =   5.21
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5510
                                                    Adj R-squared     = 0.3877
                                                    Root MSE          = 0.2218

                        (Std. err. adjusted for 313 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0008865    .030829    -0.03   0.977    -.0615456    .0597725
             |
 scale_group |
          2  |   .0140863   .0384852     0.37   0.715    -.0616371    .0898097
          3  |          0  (omitted)
          4  |   .1485735   .0368738     4.03   0.000     .0760208    .2211263
          5  |   .1509932   .0380546     3.97   0.000     .0761171    .2258693
          6  |   .0874854   .0371225     2.36   0.019     .0144433    .1605274
          7  |   3.42e-15   3.35e-08     0.00   1.000    -6.59e-08    6.59e-08
          8  |          0  (omitted)
          9  |   .0459469   .0380161     1.21   0.228    -.0288534    .1207473
         10  |          0  (empty)
         11  |   .1525148    .033865     4.50   0.000     .0858821    .2191475
         12  |    .001915    .032142     0.06   0.953    -.0613275    .0651574
             |
  year_group |
          5  |          0  (empty)
          6  |   .5915943   .1167933     5.07   0.000     .3617922    .8213964
          7  |   .5289361   .1565916     3.38   0.001      .220827    .8370452
          8  |   .3686755   .1456681     2.53   0.012     .0820594    .6552915
          9  |   .3455135   .1365902     2.53   0.012     .0767591     .614268
         10  |   .3727398   .1395472     2.67   0.008     .0981672    .6473124
         11  |   .3943981   .1396446     2.82   0.005     .1196338    .6691624
         12  |   .3605346   .1394656     2.59   0.010     .0861226    .6349466
         13  |    .411509   .1410658     2.92   0.004     .1339485    .6890696
             |
       _cons |  -.3602755   .1390416    -2.59   0.010    -.6338532   -.0866979
------------------------------------------------------------------------------
(804 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,186         742           0        742        742

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,186     .126617    .2822984          0   2.356028
(804 missing values generated)
(804 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,186
Absorbed variable: factor_pair                    No. of categories =      300
                                                  F(17, 312)        = 6.62e+09
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8114
                                                  Adj R-squared     =   0.7428
                                                  Root MSE          =   0.2281

                        (Std. err. adjusted for 313 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0606522   .0510337     1.19   0.236    -.0397616     .161066
             |
 scale_group |
          2  |  -.0004648   .0896992    -0.01   0.996    -.1769566    .1760269
          3  |          0  (omitted)
          4  |  -.0369072    .055402    -0.67   0.506     -.145916    .0721017
          5  |   .0315283   .0686016     0.46   0.646    -.1034519    .1665085
          6  |   -.089603   .0870773    -1.03   0.304     -.260936    .0817299
          7  |          0  (omitted)
          8  |   .0120319   3.59e-08  3.4e+05   0.000     .0120319     .012032
          9  |   .0282986   .0778743     0.36   0.717    -.1249266    .1815238
         10  |          0  (empty)
         11  |  -.0944727   .0523532    -1.80   0.072    -.1974827    .0085372
         12  |   .0186539   .0493084     0.38   0.705    -.0783652    .1156729
             |
  year_group |
          5  |          0  (empty)
          6  |   -.051159   .1957309    -0.26   0.794    -.4362784    .3339605
          7  |  -.2064737   .1641423    -1.26   0.209    -.5294396    .1164922
          8  |  -.1178547   .1375536    -0.86   0.392    -.3885047    .1527954
          9  |  -.1243103   .1299489    -0.96   0.340    -.3799973    .1313767
         10  |  -.1409899   .1334687    -1.06   0.292    -.4036024    .1216226
         11  |    -.28429   .1371052    -2.07   0.039    -.5540578   -.0145222
         12  |  -.2546128   .1374852    -1.85   0.065    -.5251282    .0159025
         13  |  -.2387309   .1386017    -1.72   0.086    -.5114432    .0339814
             |
       _cons |   .4448364   .1360701     3.27   0.001     .1771053    .7125675
------------------------------------------------------------------------------
(804 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,186         742           0        742        742

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,186    .2552103    .4481441          0   2.802548
(804 missing values generated)
(804 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,186
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(16, 312)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9664
                                                    Adj R-squared     = 0.9542
                                                    Root MSE          = 0.1082

                        (Std. err. adjusted for 313 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0420973   .0243884     1.73   0.085    -.0058893    .0900839
             |
 scale_group |
          2  |   .0267697   .0225223     1.19   0.236     -.017545    .0710844
          3  |          0  (omitted)
          4  |   .0469279   .0346712     1.35   0.177    -.0212911    .1151468
          5  |   .0273132   .0356276     0.77   0.444    -.0427876    .0974141
          6  |   .0967411   .0662467     1.46   0.145    -.0336056    .2270878
          7  |  -.0127576          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0428495   .0396925     1.08   0.281    -.0352493    .1209483
         10  |          0  (empty)
         11  |   .0640157   .0493303     1.30   0.195    -.0330465    .1610779
         12  |   .0167447   .0125017     1.34   0.181    -.0078537    .0413431
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0489838   .0787825    -0.62   0.535    -.2039959    .1060283
          7  |  -.1195068    .061607    -1.94   0.053    -.2407245    .0017109
          8  |  -.1062103   .0604512    -1.76   0.080    -.2251539    .0127333
          9  |  -.1090365   .0605993    -1.80   0.073    -.2282714    .0101985
         10  |  -.1260096   .0623013    -2.02   0.044    -.2485935   -.0034258
         11  |  -.0889613   .0671803    -1.32   0.186    -.2211449    .0432224
         12  |  -.0769271   .0683521    -1.13   0.261    -.2114165    .0575622
         13  |  -.0632411   .0676752    -0.93   0.351    -.1963986    .0699164
             |
       _cons |   .3420302   .0689019     4.96   0.000     .2064591    .4776012
------------------------------------------------------------------------------
(804 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,186         742           0        742        742

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,186    .2911449     .496766          0   3.053134
(804 missing values generated)
(804 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,186
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(16, 312)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9414
                                                    Adj R-squared     = 0.9201
                                                    Root MSE          = 0.1395

                        (Std. err. adjusted for 313 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0499618   .0254563    -1.96   0.051    -.1000495     .000126
             |
 scale_group |
          2  |  -.1099472    .073832    -1.49   0.137    -.2552189    .0353245
          3  |          0  (omitted)
          4  |   .0174463   .0179111     0.97   0.331    -.0177955    .0526882
          5  |   .0076177   .0222571     0.34   0.732    -.0361753    .0514107
          6  |   .0242513   .0232199     1.04   0.297    -.0214361    .0699387
          7  |   9.93e-09          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0493196   .0293989     1.68   0.094    -.0085256    .1071648
         10  |          0  (empty)
         11  |   .0428406   .0286517     1.50   0.136    -.0135344    .0992157
         12  |   -.070558    .057112    -1.24   0.218    -.1829314    .0418154
             |
  year_group |
          5  |          0  (empty)
          6  |  -1.511464   .2724757    -5.55   0.000    -2.047586   -.9753417
          7  |  -1.547397   .3131421    -4.94   0.000    -2.163534   -.9312595
          8  |  -1.525891   .3174818    -4.81   0.000    -2.150567   -.9012148
          9  |  -1.540276   .3175304    -4.85   0.000    -2.165048   -.9155043
         10  |  -1.548457   .3172234    -4.88   0.000    -2.172625   -.9242898
         11  |  -1.520696   .3168519    -4.80   0.000    -2.144133   -.8972592
         12  |  -1.543716   .3166949    -4.87   0.000    -2.166844   -.9205887
         13  |  -1.551762   .3161258    -4.91   0.000     -2.17377   -.9297538
             |
       _cons |   1.849216   .3131465     5.91   0.000      1.23307    2.465362
------------------------------------------------------------------------------
(804 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,186         742           0        742        742

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,186     .281616    .5006643          0   3.911687
(804 missing values generated)
(804 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,186
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(16, 312)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8459
                                                    Adj R-squared     = 0.7899
                                                    Root MSE          = 0.2203

                        (Std. err. adjusted for 313 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.001895   .0331807    -0.06   0.954    -.0671812    .0633911
             |
 scale_group |
          2  |  -.0267214   .0572454    -0.47   0.641    -.1393572    .0859145
          3  |          0  (omitted)
          4  |   -.000034   .0470517    -0.00   0.999    -.0926127    .0925448
          5  |   .0355795   .0569614     0.62   0.533    -.0764977    .1476566
          6  |    .119542   .0586506     2.04   0.042     .0041413    .2349428
          7  |          0  (omitted)
          8  |  -.0011984          .        .       .            .           .
          9  |   .0568804   .0613235     0.93   0.354    -.0637795    .1775403
         10  |          0  (empty)
         11  |   .0345017   .0470101     0.73   0.464    -.0579952    .1269986
         12  |   .0355183   .0313996     1.13   0.259    -.0262634       .0973
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0648377   .1338938    -0.48   0.629    -.3282866    .1986112
          7  |  -.1296657   .1455324    -0.89   0.374    -.4160147    .1566834
          8  |    -.19117   .1337755    -1.43   0.154    -.4543862    .0720461
          9  |  -.2185609   .1170814    -1.87   0.063    -.4489299    .0118081
         10  |  -.1258967   .1239734    -1.02   0.311    -.3698263    .1180329
         11  |  -.1692107   .1233235    -1.37   0.171    -.4118615    .0734401
         12  |  -.1077147   .1255668    -0.86   0.392    -.3547796    .1393501
         13  |  -.1319037    .126674    -1.04   0.299     -.381147    .1173396
             |
       _cons |   .4326176   .1248176     3.47   0.001      .187027    .6782082
------------------------------------------------------------------------------
(804 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,186         742           0        742        742

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,186    .2970701    .4749226          0   2.727372

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7570
                                                    Adj R-squared     = 0.6767
                                                    Root MSE          = 0.2231

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0109695   .0467612    -0.23   0.815    -.1029581    .0810192
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1112324   .0927191     1.20   0.231    -.0711647    .2936294
          4  |     .17166   .0436683     3.93   0.000     .0857556    .2575644
          5  |   .0822135   .0708858     1.16   0.247     -.057233      .22166
          6  |   .2096979   .0779681     2.69   0.008      .056319    .3630768
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0885362   .0691629     1.28   0.201    -.0475212    .2245935
         10  |          0  (empty)
         11  |   .2392127   .0684655     3.49   0.001     .1045274     .373898
         12  |   .0113601   .0513767     0.22   0.825    -.0897081    .1124283
             |
  year_group |
          5  |   .0363281    .006206     5.85   0.000     .0241197    .0485365
          6  |  -.4784094   .1674198    -2.86   0.005    -.8077577   -.1490611
          7  |   .0787204   .1268886     0.62   0.535     -.170895    .3283358
          8  |   .0489906   .1107459     0.44   0.659    -.1688689      .26685
          9  |   .0689767   .1114547     0.62   0.536    -.1502772    .2882305
         10  |   .1154669   .1144096     1.01   0.314    -.1095997    .3405335
         11  |   .1546505   .1218188     1.27   0.205    -.0849915    .3942924
         12  |   .1526326   .1196103     1.28   0.203    -.0826649    .3879301
         13  |   .1023815   .1215516     0.84   0.400    -.1367349    .3414979
             |
       _cons |  -.0117145   .1210818    -0.10   0.923    -.2499067    .2264777
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,290    .2043789    .3884047          0   2.729125
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8344
                                                    Adj R-squared     = 0.7798
                                                    Root MSE          = 0.1923

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0166966   .0443312    -0.38   0.707     -.103905    .0705118
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0074658   .0433198    -0.17   0.863    -.0926847     .077753
          4  |    .094735   .0308442     3.07   0.002     .0340582    .1554117
          5  |   .0370867    .034125     1.09   0.278    -.0300441    .1042175
          6  |   .0371821   .0636807     0.58   0.560    -.0880905    .1624548
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0582058    .031609     1.84   0.066    -.0039755     .120387
         10  |          0  (empty)
         11  |   .0625614    .054295     1.15   0.250    -.0442478    .1693707
         12  |   .0332437   .0452815     0.73   0.463    -.0558341    .1223215
             |
  year_group |
          5  |  -.3895716   4.23e-08 -9.2e+06   0.000    -.3895717   -.3895715
          6  |  -.4952092   .1142132    -4.34   0.000    -.7198894   -.2705289
          7  |  -.4385221   .0412732   -10.62   0.000    -.5197148   -.3573294
          8  |    -.35459   .0376394    -9.42   0.000    -.4286342   -.2805458
          9  |  -.3566578    .036767    -9.70   0.000    -.4289859   -.2843298
         10  |  -.2955948   .0391339    -7.55   0.000     -.372579   -.2186106
         11  |  -.3014903   .0476142    -6.33   0.000    -.3951569   -.2078237
         12  |  -.3274947   .0459793    -7.12   0.000    -.4179453   -.2370442
         13  |  -.1961071   .0778629    -2.52   0.012    -.3492791   -.0429351
             |
       _cons |     .49684   .0487797    10.19   0.000     .4008805    .5927995
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,290    .2229545    .4030466          0    2.86008
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7805
                                                    Adj R-squared     = 0.7081
                                                    Root MSE          = 0.1896

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0508327   .0403017     1.26   0.208    -.0284488    .1301141
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0453152   .0498546    -0.91   0.364    -.1433892    .0527588
          4  |  -.0076012   .0234228    -0.32   0.746    -.0536785    .0384762
          5  |  -.0234977    .039832    -0.59   0.556    -.1018553    .0548598
          6  |  -.0974738   .0473712    -2.06   0.040    -.1906624   -.0042853
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0235675   .0496147    -0.48   0.635    -.1211695    .0740345
         10  |          0  (empty)
         11  |  -.0413109   .0475852    -0.87   0.386    -.1349204    .0522987
         12  |  -.0314274   .0465319    -0.68   0.500    -.1229649    .0601101
             |
  year_group |
          5  |   .2819896   .1332098     2.12   0.035     .0199392    .5440401
          6  |   .1024876   .1596992     0.64   0.521    -.2116727    .4166479
          7  |  -.0615059   .1465416    -0.42   0.675    -.3497827    .2267708
          8  |  -.1277055   .1424148    -0.90   0.371    -.4078639     .152453
          9  |  -.1262917   .1403432    -0.90   0.369     -.402375    .1497916
         10  |  -.1089815   .1409675    -0.77   0.440    -.3862928    .1683298
         11  |  -.1165827   .1414969    -0.82   0.411    -.3949356    .1617702
         12  |  -.0906754   .1432227    -0.63   0.527    -.3724232    .1910724
         13  |  -.0893875   .1438264    -0.62   0.535    -.3723229    .1935479
             |
       _cons |   .3225771   .1425929     2.26   0.024     .0420683    .6030858
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,290    .2274069    .3599386          0   2.472182
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.4908
                                                    Adj R-squared     = 0.3226
                                                    Root MSE          = 0.1819

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0356365   .0253295     1.41   0.160    -.0141917    .0854647
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0844015   .0286268    -2.95   0.003    -.1407161   -.0280868
          4  |   .0959382   .0351943     2.73   0.007      .026704    .1651724
          5  |   .1458507    .057612     2.53   0.012     .0325163    .2591852
          6  |   .1373003   .0425354     3.23   0.001     .0536246     .220976
          7  |          0  (empty)
          8  |          0  (empty)
          9  |    .040559   .0477449     0.85   0.396    -.0533649    .1344828
         10  |          0  (empty)
         11  |   .1400384   .0492575     2.84   0.005      .043139    .2369378
         12  |  -.0859403   .0309278    -2.78   0.006    -.1467815    -.025099
             |
  year_group |
          5  |   .0829337   .0846857     0.98   0.328    -.0836602    .2495275
          6  |   .2163726   .1990669     1.09   0.278    -.1752318    .6079771
          7  |   .1326462   .1714987     0.77   0.440    -.2047261    .4700185
          8  |   .0638192   .1645005     0.39   0.698    -.2597862    .3874246
          9  |   .0778112   .1666007     0.47   0.641    -.2499257    .4055481
         10  |   .0904592   .1664698     0.54   0.587    -.2370203    .4179388
         11  |   .1415043   .1703566     0.83   0.407    -.1936214      .47663
         12  |   .1142698   .1681948     0.68   0.497    -.2166031    .4451427
         13  |   .1341766   .1696391     0.79   0.430    -.1995375    .4678907
             |
       _cons |  -.0852049   .1700038    -0.50   0.617    -.4196366    .2492267
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,290     .100489    .2172327          0   1.654479
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7660
                                                    Adj R-squared     = 0.6887
                                                    Root MSE          = 0.2543

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0475444   .0485487     0.98   0.328    -.0479608    .1430495
             |
 scale_group |
          2  |  -.0670896   .0924491    -0.73   0.469    -.2489556    .1147764
          3  |          0  (omitted)
          4  |  -.0397922   .0369627    -1.08   0.282    -.1125052    .0329209
          5  |  -.0190603   .0582278    -0.33   0.744    -.1336062    .0954855
          6  |  -.1598713   .0799176    -2.00   0.046    -.3170852   -.0026573
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0864016   .0762504     1.13   0.258    -.0635982    .2364015
         10  |          0  (empty)
         11  |  -.0800966   .0521487    -1.54   0.126    -.1826836    .0224904
         12  |   .0191064   .0438544     0.44   0.663     -.067164    .1053768
             |
  year_group |
          5  |   .0372998   .1488091     0.25   0.802    -.2554375    .3300372
          6  |   .9437078   .4759747     1.98   0.048     .0073701    1.880046
          7  |    .234897   .2008739     1.17   0.243    -.1602623    .6300564
          8  |   .2898994   .1842711     1.57   0.117    -.0725988    .6523975
          9  |   .2619239    .183558     1.43   0.155    -.0991715    .6230192
         10  |   .2087333   .1855824     1.12   0.262    -.1563445    .5738111
         11  |    .082115   .1873794     0.44   0.662     -.286498    .4507279
         12  |   .1567902   .1869178     0.84   0.402    -.2109145    .5244949
         13  |   .1467722   .1884598     0.78   0.437     -.223966    .5175104
             |
       _cons |   .0665472   .1875994     0.35   0.723    -.3024984    .4355928
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,290    .2541662    .4680877          0   3.886139
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9764
                                                    Adj R-squared     = 0.9687
                                                    Root MSE          = 0.0857

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0077695   .0168673    -0.46   0.645    -.0409508    .0254119
             |
 scale_group |
          2  |  -.0097559   .0179282    -0.54   0.587    -.0450243    .0255125
          3  |          0  (omitted)
          4  |   .0081358   .0136075     0.60   0.550    -.0186327    .0349044
          5  |   .0049897   .0242004     0.21   0.837    -.0426173    .0525968
          6  |    .008355   .0526819     0.16   0.874    -.0952808    .1119909
          7  |          0  (empty)
          8  |          0  (empty)
          9  |    .043854   .0272206     1.61   0.108    -.0096945    .0974024
         10  |          0  (empty)
         11  |   .0024413    .020426     0.12   0.905    -.0377407    .0426234
         12  |  -.0148731    .009891    -1.50   0.134    -.0343307    .0045844
             |
  year_group |
          5  |  -.1604461   .0365924    -4.38   0.000    -.2324307   -.0884616
          6  |  -.0805595   .0670453    -1.20   0.230    -.2124511    .0513321
          7  |  -.0715071   .0581002    -1.23   0.219    -.1858019    .0427877
          8  |  -.0717357   .0550036    -1.30   0.193    -.1799387    .0364674
          9  |  -.0610706   .0533472    -1.14   0.253    -.1660154    .0438741
         10  |  -.0794098   .0533441    -1.49   0.138    -.1843485    .0255288
         11  |   -.077532   .0558588    -1.39   0.166    -.1874175    .0323535
         12  |  -.0644687   .0562726    -1.15   0.253    -.1751682    .0462307
         13  |  -.0671459   .0593188    -1.13   0.258    -.1838378     .049546
             |
       _cons |   .3777308   .0557395     6.78   0.000     .2680799    .4873816
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,290    .2926378    .4734067          0   2.130899
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9441
                                                    Adj R-squared     = 0.9257
                                                    Root MSE          = 0.1284

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0318724   .0280785    -1.14   0.257    -.0871085    .0233636
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2692117   .1103424     2.44   0.015      .052146    .4862774
          4  |   .0256356   .0187158     1.37   0.172    -.0111822    .0624533
          5  |   .0130786   .0261773     0.50   0.618    -.0384175    .0645747
          6  |   .0513817   .0265312     1.94   0.054    -.0008105     .103574
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0225436   .0274708     0.82   0.412    -.0314969    .0765841
         10  |          0  (empty)
         11  |   .0748056   .0365126     2.05   0.041     .0029779    .1466332
         12  |   .0493485    .047586     1.04   0.300    -.0442628    .1429598
             |
  year_group |
          5  |  -.2416175   .0603012    -4.01   0.000     -.360242    -.122993
          6  |  -.9140311   .1794803    -5.09   0.000    -1.267105   -.5609574
          7  |  -.8610661   .1749095    -4.92   0.000    -1.205148    -.516984
          8  |  -.8609416   .1748112    -4.92   0.000     -1.20483   -.5170529
          9  |  -.8697742   .1717596    -5.06   0.000     -1.20766   -.5318887
         10  |  -.8487817   .1694564    -5.01   0.000    -1.182137   -.5154268
         11  |  -.8231461   .1712432    -4.81   0.000    -1.160016   -.4862764
         12  |  -.8345816   .1712725    -4.87   0.000    -1.171509   -.4976542
         13  |  -.8280691   .1721285    -4.81   0.000     -1.16668   -.4894577
             |
       _cons |   1.115106   .1704485     6.54   0.000     .7797991    1.450412
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,290    .2805537    .4621471          0     2.2776
(700 missing values generated)
(700 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,290
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7774
                                                    Adj R-squared     = 0.7039
                                                    Root MSE          = 0.2567

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0203326   .0558431     0.36   0.716     -.089522    .1301872
             |
 scale_group |
          2  |   -.038316   .0641139    -0.60   0.551     -.164441     .087809
          3  |          0  (omitted)
          4  |   .1895895   .0390403     4.86   0.000     .1127895    .2663895
          5  |   .1461624   .0597498     2.45   0.015     .0286226    .2637022
          6  |   .2289965   .0864972     2.65   0.009     .0588391    .3991539
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .3389589   .0684435     4.95   0.000     .2043167    .4736011
         10  |          0  (empty)
         11  |   .2803282   .0759182     3.69   0.000     .1309818    .4296746
         12  |  -.0326824   .0276086    -1.18   0.237    -.0869941    .0216294
             |
  year_group |
          5  |    -.17058   .0455388    -3.75   0.000     -.260164   -.0809959
          6  |  -.1999423   .1652702    -1.21   0.227     -.525062    .1251773
          7  |  -.2879063   .1067029    -2.70   0.007    -.4978123   -.0780004
          8  |  -.2644514   .0870331    -3.04   0.003    -.4356628   -.0932399
          9  |  -.3305203   .0789522    -4.19   0.000    -.4858351   -.1752054
         10  |  -.3445969   .0802409    -4.29   0.000    -.5024468   -.1867469
         11  |  -.3625467   .0876414    -4.14   0.000    -.5349549   -.1901385
         12  |  -.3182721   .0873055    -3.65   0.000    -.4900195   -.1465246
         13  |  -.2799169   .1013618    -2.76   0.006    -.4793158   -.0805179
             |
       _cons |   .4813775   .0948115     5.08   0.000     .2948642    .6678908
------------------------------------------------------------------------------
(700 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,290         787           0        787        787

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,290    .3072518       .4724          0   2.710681

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(660 missing values generated)
(660 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,330
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(16, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7835
                                                    Adj R-squared     = 0.7111
                                                    Root MSE          = 0.2255

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0067099   .0477308    -0.14   0.888    -.1006028    .0871831
             |
 scale_group |
          2  |     .13781   .1748296     0.79   0.431    -.2061034    .4817234
          3  |          0  (omitted)
          4  |   .1503285   .0459609     3.27   0.001     .0599173    .2407398
          5  |   .0872602   .0395878     2.20   0.028     .0093856    .1651349
          6  |   .1608185   .0588327     2.73   0.007     .0450866    .2765505
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .1674968   .0593489     2.82   0.005     .0507494    .2842441
         10  |    .208225   .1341607     1.55   0.122    -.0556872    .4721373
         11  |   .2062772   .0634662     3.25   0.001     .0814306    .3311238
         12  |   .1633237   .1850628     0.88   0.378    -.2007198    .5273672
             |
  year_group |
          5  |          0  (empty)
          6  |   .0885494   .1020282     0.87   0.386    -.1121538    .2892525
          7  |    .078088   .1136752     0.69   0.493    -.1455265    .3017025
          8  |  -.0277967   .0733408    -0.38   0.705    -.1720679    .1164745
          9  |  -.0220811    .066778    -0.33   0.741    -.1534424    .1092802
         10  |   .0678161   .0737741     0.92   0.359    -.0773076    .2129398
         11  |   .0886307   .0818979     1.08   0.280    -.0724736    .2497349
         12  |   .1077392   .0820921     1.31   0.190    -.0537471    .2692254
         13  |   .0828261    .087208     0.95   0.343    -.0887238    .2543761
             |
       _cons |   .0315031   .1006847     0.31   0.755    -.1665572    .2295635
------------------------------------------------------------------------------
(660 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,330         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,330    .2258718    .4135212          0   3.194526
(660 missing values generated)
(660 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,330
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(16, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8288
                                                    Adj R-squared     = 0.7716
                                                    Root MSE          = 0.2039

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0131066   .0515704     0.25   0.800    -.0883393    .1145525
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1657563   .1169501    -1.42   0.157    -.3958129    .0643003
          4  |    .119164   .0328477     3.63   0.000     .0545482    .1837798
          5  |   .0838768   .0339411     2.47   0.014     .0171102    .1506435
          6  |   .0496962    .040961     1.21   0.226    -.0308797     .130272
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .1140476   .0353061     3.23   0.001     .0445958    .1834995
         10  |   .1180553   .0536894     2.20   0.029      .012441    .2236697
         11  |   .0780734   .0461574     1.69   0.092    -.0127245    .1688712
         12  |   .0037109   .0264655     0.14   0.889    -.0483503    .0557721
             |
  year_group |
          5  |          0  (empty)
          6  |  -.4678576   .0557691    -8.39   0.000    -.5775629   -.3581523
          7  |  -.4320292   .0354437   -12.19   0.000    -.5017517   -.3623068
          8  |  -.3778768   .0208425   -18.13   0.000    -.4188769   -.3368767
          9  |  -.3514423   .0132715   -26.48   0.000    -.3775492   -.3253354
         10  |  -.2741188   .0259068   -10.58   0.000     -.325081   -.2231566
         11  |  -.2366204   .0429513    -5.51   0.000    -.3211114   -.1521295
         12  |  -.2959497    .039225    -7.54   0.000    -.3731105   -.2187888
         13  |   -.226965   .0652056    -3.48   0.001    -.3552332   -.0986968
             |
       _cons |   .4631285    .051589     8.98   0.000     .3616459    .5646111
------------------------------------------------------------------------------
(660 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,330         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,330    .2321365    .4170686          0   2.743592
(660 missing values generated)
(660 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,330
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(16, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7731
                                                    Adj R-squared     = 0.6972
                                                    Root MSE          = 0.1911

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0234759    .043669     0.54   0.591    -.0624268    .1093786
             |
 scale_group |
          2  |   .0914323   .0895647     1.02   0.308    -.0847535     .267618
          3  |          0  (omitted)
          4  |   .0164273   .0369257     0.44   0.657    -.0562105    .0890651
          5  |   .0263517   .0380825     0.69   0.489    -.0485616    .1012651
          6  |  -.0330901   .0518641    -0.64   0.524    -.1351137    .0689335
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0357172   .0534047     0.67   0.504    -.0693371    .1407716
         10  |    .062609   .0568288     1.10   0.271    -.0491809    .1743989
         11  |   .0268116   .0454221     0.59   0.555    -.0625398     .116163
         12  |    .098652   .0698102     1.41   0.159    -.0386741    .2359781
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2327853   .0893533    -2.61   0.010    -.4085552   -.0570153
          7  |  -.3728221   .0711455    -5.24   0.000    -.5127749   -.2328694
          8  |  -.3419361   .0656411    -5.21   0.000     -.471061   -.2128111
          9  |  -.3860934   .0599001    -6.45   0.000     -.503925   -.2682618
         10  |  -.3714796   .0656828    -5.66   0.000    -.5006866   -.2422726
         11  |  -.3657562    .066613    -5.49   0.000    -.4967929   -.2347195
         12  |  -.3172282   .0710707    -4.46   0.000    -.4570338   -.1774225
         13  |  -.3451861   .0679062    -5.08   0.000    -.4787668   -.2116053
             |
       _cons |   .5328483   .0798528     6.67   0.000     .3757672    .6899295
------------------------------------------------------------------------------
(660 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,330         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,330    .2487665    .3770284          0   2.908047
(660 missing values generated)
(660 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,330
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(16, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6602
                                                    Adj R-squared     = 0.5465
                                                    Root MSE          = 0.1659

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0036022   .0298745     0.12   0.904    -.0551651    .0623695
             |
 scale_group |
          2  |   .1090957    .063308     1.72   0.086    -.0154398    .2336311
          3  |          0  (omitted)
          4  |   .3355697   .0336071     9.99   0.000       .26946    .4016794
          5  |   .3208064   .0297843    10.77   0.000     .2622167     .379396
          6  |   .3370668   .0461045     7.31   0.000     .2463731    .4277606
          7  |          0  (empty)
          8  |          0  (empty)
          9  |    .310492   .0384059     8.08   0.000     .2349425    .3860416
         10  |   .1873661   .0605071     3.10   0.002     .0683403    .3063918
         11  |   .3260179   .0388654     8.39   0.000     .2495644    .4024715
         12  |    .057839   .0513714     1.13   0.261    -.0432155    .1588936
             |
  year_group |
          5  |          0  (empty)
          6  |    .151528   .0962075     1.58   0.116    -.0377251    .3407812
          7  |   .0529252   .0970017     0.55   0.586    -.1378903    .2437406
          8  |   .0048711   .0820262     0.06   0.953    -.1564854    .1662276
          9  |  -.0028486   .0785616    -0.04   0.971    -.1573898    .1516926
         10  |  -.0034532   .0813193    -0.04   0.966    -.1634192    .1565128
         11  |   .0201323   .0826076     0.24   0.808     -.142368    .1826325
         12  |  -.0049953   .0826801    -0.06   0.952    -.1676382    .1576477
         13  |   .0117918   .0832994     0.14   0.888    -.1520693    .1756529
             |
       _cons |  -.1506208   .0906979    -1.66   0.098    -.3290358    .0277943
------------------------------------------------------------------------------
(660 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,330         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,330    .1061902     .244558          0    2.39457
(660 missing values generated)
(660 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,330
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(16, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7887
                                                    Adj R-squared     = 0.7181
                                                    Root MSE          = 0.2385

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0636222    .048285     1.32   0.189    -.0313609    .1586054
             |
 scale_group |
          2  |  -.2383571   .1044901    -2.28   0.023    -.4439031    -.032811
          3  |          0  (omitted)
          4  |  -.0320933   .0586873    -0.55   0.585    -.1475391    .0833525
          5  |   .0641754    .052961     1.21   0.226    -.0400059    .1683568
          6  |  -.0571504   .0751976    -0.76   0.448    -.2050743    .0907734
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.0217421   .0738642    -0.29   0.769    -.1670429    .1235587
         10  |  -.0708198   .0868312    -0.82   0.415    -.2416284    .0999888
         11  |  -.0724467   .0630584    -1.15   0.251     -.196491    .0515976
         12  |  -.1741154   .0973616    -1.79   0.075    -.3656389    .0174081
             |
  year_group |
          5  |          0  (empty)
          6  |    .368756   .1178033     3.13   0.002     .1370211    .6004909
          7  |     .23284   .1096074     2.12   0.034     .0172273    .4484526
          8  |   .3684962   .0848058     4.35   0.000     .2016717    .5353207
          9  |   .4005135   .0738883     5.42   0.000     .2551652    .5458618
         10  |   .3611767   .0854265     4.23   0.000     .1931313    .5292221
         11  |   .2721295   .0895232     3.04   0.003     .0960252    .4482339
         12  |   .2820886   .0903361     3.12   0.002     .1043854    .4597918
         13  |   .2715996   .0900495     3.02   0.003     .0944602    .4487391
             |
       _cons |  -.0250409   .1038436    -0.24   0.810    -.2293153    .1792335
------------------------------------------------------------------------------
(660 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,330         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,330    .2640318    .4635059          0   3.005849
(660 missing values generated)
(660 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,330
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(16, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9771
                                                    Adj R-squared     = 0.9695
                                                    Root MSE          = 0.0858

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0093726   .0155343    -0.60   0.547    -.0399306    .0211855
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0080732   .0169621     0.48   0.634    -.0252936    .0414399
          4  |   .0076729   .0191819     0.40   0.689    -.0300606    .0454064
          5  |  -.0006849    .014348    -0.05   0.962    -.0289094    .0275396
          6  |   .0158162   .0311292     0.51   0.612    -.0454191    .0770516
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0160388   .0158451     1.01   0.312    -.0151308    .0472083
         10  |  -.0052821   .0202449    -0.26   0.794    -.0451066    .0345424
         11  |  -.0051789   .0183883    -0.28   0.778     -.041351    .0309933
         12  |   .0008284   .0103855     0.08   0.936    -.0196013     .021258
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0171116    .048773    -0.35   0.726    -.1130548    .0788316
          7  |   .0098776   .0399918     0.25   0.805    -.0687916    .0885469
          8  |   .0123544   .0389333     0.32   0.751    -.0642327    .0889415
          9  |   .0008384   .0378127     0.02   0.982    -.0735442    .0752211
         10  |   .0048397   .0393624     0.12   0.902    -.0725913    .0822708
         11  |   .0154461   .0440131     0.35   0.726    -.0711336    .1020258
         12  |   .0127105   .0414564     0.31   0.759    -.0688399     .094261
         13  |   .0159864   .0450493     0.35   0.723    -.0726317    .1046045
             |
       _cons |   .3045517   .0449509     6.78   0.000     .2161272    .3929762
------------------------------------------------------------------------------
(660 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,330         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,330    .2932212    .4794243          0   3.031339
(660 missing values generated)
(660 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,330
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(16, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9536
                                                    Adj R-squared     = 0.9380
                                                    Root MSE          = 0.1218

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0471939   .0251848    -1.87   0.062    -.0967357     .002348
             |
 scale_group |
          2  |   -.205667   .0521348    -3.94   0.000    -.3082232   -.1031108
          3  |          0  (omitted)
          4  |   .0067551   .0239512     0.28   0.778    -.0403602    .0538703
          5  |  -.0161903   .0206063    -0.79   0.433    -.0567258    .0243452
          6  |  -.0262154   .0325334    -0.81   0.421     -.090213    .0377823
          7  |          0  (empty)
          8  |          0  (empty)
          9  |   .0151956   .0325326     0.47   0.641    -.0488004    .0791915
         10  |  -.0213264   .0299986    -0.71   0.478    -.0803376    .0376848
         11  |  -.0240806   .0361079    -0.67   0.505    -.0951096    .0469484
         12  |   -.182285   .0421038    -4.33   0.000    -.2651089    -.099461
             |
  year_group |
          5  |          0  (empty)
          6  |  -1.391829   .3781535    -3.68   0.000    -2.135708   -.6479503
          7  |  -1.406889    .379322    -3.71   0.000    -2.153067   -.6607118
          8  |  -1.402584   .3829128    -3.66   0.000    -2.155825   -.6493427
          9  |   -1.42705   .3754169    -3.80   0.000    -2.165546   -.6885546
         10  |  -1.421685   .3781034    -3.76   0.000    -2.165466    -.677905
         11  |  -1.404508   .3782033    -3.71   0.000    -2.148485   -.6605313
         12  |  -1.402638   .3784608    -3.71   0.000    -2.147122   -.6581544
         13  |   -1.40081   .3786121    -3.70   0.000    -2.145591   -.6560287
             |
       _cons |   1.787061   .3780872     4.73   0.000     1.043312     2.53081
------------------------------------------------------------------------------
(660 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,330         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,330    .2881753    .4862591          0   3.546625
(660 missing values generated)
(660 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,330
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(16, 332)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9298
                                                    Adj R-squared     = 0.9064
                                                    Root MSE          = 0.1428

                        (Std. err. adjusted for 333 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0118494   .0282048     0.42   0.675    -.0436331     .067332
             |
 scale_group |
          2  |   .0079557   .0593414     0.13   0.893    -.1087768    .1246882
          3  |          0  (omitted)
          4  |  -.1326316   .0308915    -4.29   0.000    -.1933993   -.0718639
          5  |  -.1225992   .0270252    -4.54   0.000    -.1757615   -.0694369
          6  |  -.1299846   .0431382    -3.01   0.003    -.2148433    -.045126
          7  |          0  (empty)
          8  |          0  (empty)
          9  |  -.1220807   .0430376    -2.84   0.005    -.2067415   -.0374198
         10  |  -.1556887   .0773768    -2.01   0.045    -.3078994    -.003478
         11  |  -.1429978     .03523    -4.06   0.000    -.2122999   -.0736957
         12  |   .0640806   .0622506     1.03   0.304    -.0583747    .1865359
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3300864   .1667645    -1.98   0.049    -.6581346   -.0020382
          7  |  -.3989363   .1703396    -2.34   0.020    -.7340172   -.0638554
          8  |  -.3561281   .1636917    -2.18   0.030    -.6781318   -.0341243
          9  |   -.374324   .1597684    -2.34   0.020    -.6886101   -.0600379
         10  |  -.3456101   .1620188    -2.13   0.034    -.6643229   -.0268973
         11  |   -.374136   .1629598    -2.30   0.022    -.6946999    -.053572
         12  |  -.3721998   .1628096    -2.29   0.023    -.6924684   -.0519313
         13  |  -.3442674   .1633666    -2.11   0.036    -.6656317   -.0229032
             |
       _cons |   .7485725   .1652225     4.53   0.000     .4235576    1.073587
------------------------------------------------------------------------------
(660 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,330         799           0        799        799

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,330     .303917    .4686639          0   2.707233

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(638 missing values generated)
(638 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,352
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 333)        =   3.41
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7767
                                                    Adj R-squared     = 0.7077
                                                    Root MSE          = 0.2310

                        (Std. err. adjusted for 334 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0200212   .0610301    -0.33   0.743    -.1400743    .1000318
             |
 scale_group |
          2  |   .0040367   .1234067     0.03   0.974    -.2387184    .2467917
          3  |          0  (omitted)
          4  |   .0348829   .0366851     0.95   0.342    -.0372809    .1070468
          5  |  -.0284923   .0627041    -0.45   0.650    -.1518385    .0948538
          6  |   .0220525   .0672234     0.33   0.743    -.1101837    .1542886
          7  |          0  (empty)
          8  |   .1748838   .0798402     2.19   0.029     .0178291    .3319385
          9  |  -.0330578   .0814919    -0.41   0.685    -.1933615     .127246
         10  |   .0976176   .1134927     0.86   0.390    -.1256354    .3208706
         11  |    .165168    .062741     2.63   0.009     .0417494    .2885867
         12  |  -.0188646   .1208046    -0.16   0.876    -.2565009    .2187717
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0836541    .115808    -0.72   0.471    -.3114615    .1441533
          7  |    .292861   .1457958     2.01   0.045     .0060642    .5796579
          8  |   .1983029   .1227432     1.62   0.107    -.0431469    .4397526
          9  |   .3052139   .1182615     2.58   0.010       .07258    .5378478
         10  |   .3178093    .115808     2.74   0.006     .0900019    .5456167
         11  |   .3181558   .1239289     2.57   0.011     .0743736     .561938
         12  |   .3831261   .1215194     3.15   0.002     .1440836    .6221686
         13  |   .3496393   .1308072     2.67   0.008     .0923266    .6069519
             |
       _cons |  -.0899455   .1216863    -0.74   0.460    -.3293163    .1494253
------------------------------------------------------------------------------
(638 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,352         803           0        803        803

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,352    .2224895    .4082485          0   3.098423
(638 missing values generated)
(638 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators            Number of obs     =   1,352
Absorbed variable: factor_pair                     No. of categories =     302
                                                   F(18, 333)        = 1126.21
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.8083
                                                   Adj R-squared     =  0.7491
                                                   Root MSE          =  0.2277

                        (Std. err. adjusted for 334 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0470934   .0551918    -0.85   0.394    -.1556619    .0614752
             |
 scale_group |
          2  |   .0286378   .0324791     0.88   0.379    -.0352522    .0925278
          3  |          0  (omitted)
          4  |   .0843173   .0301121     2.80   0.005     .0250834    .1435512
          5  |   .0416012   .0411582     1.01   0.313    -.0393617    .1225641
          6  |   .0074694   .0601905     0.12   0.901    -.1109321     .125871
          7  |          0  (empty)
          8  |    .067598   .0530706     1.27   0.204     -.036798    .1719939
          9  |   .0788944   .0390005     2.02   0.044     .0021761    .1556128
         10  |   .0480967   .0552863     0.87   0.385    -.0606577    .1568512
         11  |    .040904   .0383432     1.07   0.287    -.0345213    .1163293
         12  |   .0256778   .0236856     1.08   0.279    -.0209146    .0722701
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1544679   .1298398    -1.19   0.235    -.4098774    .1009416
          7  |  -.2185806   .1319885    -1.66   0.099     -.478217    .0410559
          8  |   -.148592   .1306043    -1.14   0.256    -.4055054    .1083214
          9  |  -.1055558   .1304453    -0.81   0.419    -.3621566    .1510449
         10  |  -.0398351   .1298398    -0.31   0.759    -.2952446    .2155744
         11  |    -.00157   .1365497    -0.01   0.991    -.2701788    .2670388
         12  |  -.0357976   .1326274    -0.27   0.787    -.2966907    .2250954
         13  |   .0850052   .1433911     0.59   0.554    -.1970614    .3670717
             |
       _cons |   .2690042   .1365965     1.97   0.050     .0003034     .537705
------------------------------------------------------------------------------
(638 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,352         803           0        803        803

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,352    .2329176    .4270464          0   3.195274
(638 missing values generated)
(638 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,352
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 333)        =   4.73
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7297
                                                    Adj R-squared     = 0.6462
                                                    Root MSE          = 0.2310

                        (Std. err. adjusted for 334 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0465188   .0464287     1.00   0.317    -.0448117    .1378494
             |
 scale_group |
          2  |  -.1241607   .1429475    -0.87   0.386    -.4053547    .1570333
          3  |          0  (omitted)
          4  |  -.0096279   .0339272    -0.28   0.777    -.0763665    .0571106
          5  |  -.0440603    .047017    -0.94   0.349     -.136548    .0484274
          6  |  -.0750217   .0562484    -1.33   0.183    -.1856686    .0356252
          7  |          0  (empty)
          8  |  -.1163356   .0509883    -2.28   0.023    -.2166354   -.0160358
          9  |  -.0443622   .0623657    -0.71   0.477    -.1670426    .0783182
         10  |   .0955225   .0514792     1.86   0.064     -.005743     .196788
         11  |  -.0123272   .0467529    -0.26   0.792    -.1042955    .0796411
         12  |  -.1165168   .1299241    -0.90   0.370    -.3720923    .1390586
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1415054   .1432316    -0.99   0.324    -.4232582    .1402474
          7  |  -.1405277   .1551125    -0.91   0.366    -.4456516    .1645961
          8  |  -.1598347   .1524535    -1.05   0.295    -.4597279    .1400586
          9  |  -.2371656   .1468829    -1.61   0.107     -.526101    .0517698
         10  |  -.2329915   .1432316    -1.63   0.105    -.5147443    .0487613
         11  |  -.2783664    .144929    -1.92   0.056    -.5634582    .0067255
         12  |  -.2469555   .1463918    -1.69   0.093    -.5349247    .0410138
         13  |   -.261224   .1448386    -1.80   0.072    -.5461379    .0236899
             |
       _cons |   .5148061   .1526282     3.37   0.001     .2145691    .8150431
------------------------------------------------------------------------------
(638 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,352         803           0        803        803

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,352    .2682021    .4122911          0   2.841529
(638 missing values generated)
(638 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,352
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 333)        =   2.79
                                                    Prob > F          = 0.0002
                                                    R-squared         = 0.5480
                                                    Adj R-squared     = 0.4083
                                                    Root MSE          = 0.2208

                        (Std. err. adjusted for 334 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0345672   .0343116    -1.01   0.314    -.1020619    .0329276
             |
 scale_group |
          2  |   .0443353   .0543167     0.82   0.415    -.0625118    .1511825
          3  |          0  (omitted)
          4  |    .073469   .0295256     2.49   0.013     .0153888    .1315492
          5  |   .0579812   .0466217     1.24   0.215    -.0337289    .1496913
          6  |   .0894259   .0502605     1.78   0.076    -.0094421    .1882939
          7  |          0  (empty)
          8  |  -.0947513   .0681341    -1.39   0.165    -.2287788    .0392762
          9  |  -.0190813   .0512047    -0.37   0.710    -.1198068    .0816441
         10  |  -.0347435   .0472823    -0.73   0.463    -.1277531    .0582662
         11  |   .0652859    .033335     1.96   0.051    -.0002878    .1308597
         12  |   .1037215    .031938     3.25   0.001     .0408958    .1665473
             |
  year_group |
          5  |          0  (empty)
          6  |   .2071931    .214322     0.97   0.334    -.2144026    .6287889
          7  |     .13379   .2248168     0.60   0.552    -.3084502    .5760302
          8  |   .0194301   .2162668     0.09   0.928    -.4059912    .4448515
          9  |  -.0341595   .2150842    -0.16   0.874    -.4572545    .3889354
         10  |   .0263288    .214322     0.12   0.902     -.395267    .4479245
         11  |    .052785   .2162517     0.24   0.807    -.3726066    .4781766
         12  |   .0043577     .21484     0.02   0.984    -.4182569    .4269723
         13  |   .0219264   .2151769     0.10   0.919     -.401351    .4452038
             |
       _cons |   .0528363   .2158037     0.24   0.807    -.3716742    .4773468
------------------------------------------------------------------------------
(638 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,352         803           0        803        803

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,352    .1198784    .2736756          0   2.492066
(638 missing values generated)
(638 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,352
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 333)        =   4.92
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7798
                                                    Adj R-squared     = 0.7117
                                                    Root MSE          = 0.2650

                        (Std. err. adjusted for 334 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0763206   .0521268     1.46   0.144    -.0262187    .1788598
             |
 scale_group |
          2  |   .1740794   .0752517     2.31   0.021     .0260508     .322108
          3  |          0  (omitted)
          4  |  -.0227686   .0402597    -0.57   0.572     -.101964    .0564267
          5  |  -.0048332     .05609    -0.09   0.931    -.1151686    .1055021
          6  |  -.1337628   .0639724    -2.09   0.037    -.2596036   -.0079219
          7  |          0  (empty)
          8  |  -.0269183    .063542    -0.42   0.672    -.1519126     .098076
          9  |  -.0075023   .0992193    -0.08   0.940    -.2026778    .1876732
         10  |  -.0855589   .0591232    -1.45   0.149    -.2018608    .0307431
         11  |   -.119211    .052698    -2.26   0.024    -.2228739   -.0155481
         12  |   .1366225    .047441     2.88   0.004     .0433008    .2299443
             |
  year_group |
          5  |          0  (empty)
          6  |   .4919461   .3721813     1.32   0.187    -.2401768    1.224069
          7  |   .0679694   .3870457     0.18   0.861    -.6933935    .8293323
          8  |   .0812438   .3802514     0.21   0.831    -.6667538    .8292414
          9  |   .0603323   .3744272     0.16   0.872    -.6762084     .796873
         10  |   .0582248   .3721813     0.16   0.876    -.6738981    .7903477
         11  |  -.0759034   .3730213    -0.20   0.839    -.8096785    .6578718
         12  |  -.0709631   .3727802    -0.19   0.849    -.8042639    .6623378
         13  |  -.0354373    .372809    -0.10   0.924    -.7687949    .6979202
             |
       _cons |   .2337262   .3688474     0.63   0.527    -.4918385    .9592909
------------------------------------------------------------------------------
(638 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,352         803           0        803        803

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,352    .2770259    .4848227          0   3.874831
(638 missing values generated)
(638 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,352
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 333)        =   1.18
                                                    Prob > F          = 0.2793
                                                    R-squared         = 0.9729
                                                    Adj R-squared     = 0.9646
                                                    Root MSE          = 0.0960

                        (Std. err. adjusted for 334 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0099376   .0224958     0.44   0.659    -.0343143    .0541895
             |
 scale_group |
          2  |   .0197197   .0195197     1.01   0.313    -.0186777    .0581171
          3  |          0  (omitted)
          4  |   .0096675   .0158935     0.61   0.543    -.0215967    .0409318
          5  |  -.0076744   .0225453    -0.34   0.734    -.0520236    .0366747
          6  |   .0541452   .0521021     1.04   0.299    -.0483457     .156636
          7  |          0  (empty)
          8  |  -.0156448   .0329617    -0.47   0.635    -.0804843    .0491947
          9  |   .0088645   .0229635     0.39   0.700    -.0363073    .0540364
         10  |   -.055548   .0647917    -0.86   0.392    -.1830008    .0719047
         11  |   .0356346    .025177     1.42   0.158    -.0138914    .0851606
         12  |   .0089813   .0136179     0.66   0.510    -.0178066    .0357692
             |
  year_group |
          5  |          0  (empty)
          6  |   .0770029   .0573124     1.34   0.180    -.0357371    .1897429
          7  |  -.0221752   .0611891    -0.36   0.717    -.1425412    .0981907
          8  |  -.0192455   .0591789    -0.33   0.745    -.1356571    .0971661
          9  |  -.0186153   .0595946    -0.31   0.755    -.1358446     .098614
         10  |  -.0407772   .0573124    -0.71   0.477    -.1535172    .0719628
         11  |  -.0309148   .0613683    -0.50   0.615    -.1516333    .0898037
         12  |  -.0187829   .0600321    -0.31   0.755    -.1368729     .099307
         13  |   -.021858   .0605995    -0.36   0.719    -.1410641    .0973481
             |
       _cons |   .3405477   .0608505     5.60   0.000     .2208479    .4602475
------------------------------------------------------------------------------
(638 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,352         803           0        803        803

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,352    .3003685    .4825205          0   2.416727
(638 missing values generated)
(638 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,352
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 333)        =   8.32
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9521
                                                    Adj R-squared     = 0.9372
                                                    Root MSE          = 0.1272

                        (Std. err. adjusted for 334 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0707966   .0277564    -2.55   0.011    -.1253967   -.0161965
             |
 scale_group |
          2  |  -.1166449   .0810414    -1.44   0.151    -.2760624    .0427727
          3  |          0  (omitted)
          4  |  -.0086782   .0319351    -0.27   0.786    -.0714982    .0541418
          5  |  -.0116286   .0321351    -0.36   0.718     -.074842    .0515849
          6  |  -.0141659   .0383432    -0.37   0.712    -.0895913    .0612595
          7  |          0  (empty)
          8  |  -.0216632   .0405231    -0.53   0.593    -.1013767    .0580503
          9  |  -.0282239    .048308    -0.58   0.559    -.1232513    .0668035
         10  |   -.015636   .0352172    -0.44   0.657    -.0849122    .0536401
         11  |   -.007282   .0446606    -0.16   0.871    -.0951344    .0805704
         12  |  -.1008945   .0645232    -1.56   0.119    -.2278189      .02603
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3743356   .0851122    -4.40   0.000    -.5417609   -.2069102
          7  |  -.5523258   .1100457    -5.02   0.000    -.7687981   -.3358535
          8  |  -.5308061   .0911929    -5.82   0.000    -.7101928   -.3514194
          9  |  -.5235664   .0863893    -6.06   0.000    -.6935039   -.3536288
         10  |  -.5394729   .0851122    -6.34   0.000    -.7068983   -.3720475
         11  |  -.5131714   .0866398    -5.92   0.000    -.6836018   -.3427411
         12  |  -.5222935   .0856706    -6.10   0.000    -.6908173   -.3537696
         13  |  -.5293146    .086313    -6.13   0.000    -.6991021   -.3595271
             |
       _cons |   .9178065   .0905573    10.14   0.000     .7396701    1.095943
------------------------------------------------------------------------------
(638 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,352         803           0        803        803

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,352    .3023637    .4828939          0   2.258388
(638 missing values generated)
(638 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,352
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 333)        =   3.17
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7812
                                                    Adj R-squared     = 0.7136
                                                    Root MSE          = 0.2863

                        (Std. err. adjusted for 334 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0008747   .0591362     0.01   0.988    -.1154529    .1172022
             |
 scale_group |
          2  |   .0145381   .0898879     0.16   0.872    -.1622816    .1913578
          3  |          0  (omitted)
          4  |   .0797973   .0339632     2.35   0.019     .0129878    .1466068
          5  |   .0985208    .047792     2.06   0.040     .0045086     .192533
          6  |   .1261782   .0574709     2.20   0.029     .0131265      .23923
          7  |          0  (empty)
          8  |   .0161799   .0630964     0.26   0.798     -.107938    .1402977
          9  |   .1329269   .0747725     1.78   0.076    -.0141591     .280013
         10  |   -.070419   .0846061    -0.83   0.406    -.2368489    .0960108
         11  |   .1619719    .059428     2.73   0.007     .0450704    .2788734
         12  |   .0521402   .0430204     1.21   0.226    -.0324857    .1367661
             |
  year_group |
          5  |          0  (empty)
          6  |    -.06051   .1442572    -0.42   0.675    -.3442803    .2232602
          7  |  -.2202957   .1725385    -1.28   0.203    -.5596984    .1191071
          8  |  -.4463646   .1572851    -2.84   0.005    -.7557621    -.136967
          9  |  -.4715882   .1493606    -3.16   0.002    -.7653974   -.1777789
         10  |  -.3853681   .1442572    -2.67   0.008    -.6691383   -.1015978
         11  |  -.4167371   .1492213    -2.79   0.006    -.7102723   -.1232019
         12  |  -.3900872   .1483244    -2.63   0.009    -.6818582   -.0983162
         13  |  -.3683221   .1493248    -2.47   0.014    -.6620609   -.0745833
             |
       _cons |    .657797   .1516936     4.34   0.000     .3593984    .9561955
------------------------------------------------------------------------------
(638 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,352         803           0        803        803

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,352       .3259    .5046986          0   3.182159

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7613
                                                    Adj R-squared     = 0.6780
                                                    Root MSE          = 0.2404

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0167222   .0700464    -0.24   0.811    -.1545368    .1210924
             |
 scale_group |
          2  |    .288879   .1071613     2.70   0.007     .0780418    .4997162
          3  |          0  (omitted)
          4  |   .1581847   .0579822     2.73   0.007      .044106    .2722633
          5  |   .0611578   .0483678     1.26   0.207    -.0340047    .1563204
          6  |   .1000169   .0648551     1.54   0.124     -.027584    .2276177
          7  |          0  (empty)
          8  |   .1188284   .1028281     1.16   0.249    -.0834834    .3211402
          9  |   .1313471   .0643294     2.04   0.042     .0047807    .2579135
         10  |   .1507989   .1265908     1.19   0.234    -.0982655    .3998633
         11  |   .2552297   .0657586     3.88   0.000     .1258512    .3846081
         12  |     .29037   .1126633     2.58   0.010     .0687077    .5120324
             |
  year_group |
          5  |   .0500807          .        .       .            .           .
          6  |  -.3683932    .205265    -1.79   0.074     -.772247    .0354607
          7  |    .003354   .1346787     0.02   0.980     -.261623     .268331
          8  |   .0615516   .1181157     0.52   0.603    -.1708382    .2939414
          9  |   .0865324   .1187452     0.73   0.467    -.1470958    .3201607
         10  |   .1399402   .1223326     1.14   0.254    -.1007461    .3806266
         11  |   .1617382   .1370848     1.18   0.239    -.1079729    .4314493
         12  |   .1994802   .1296302     1.54   0.125    -.0555641    .4545246
         13  |    .166028    .135916     1.22   0.223    -.1013833    .4334393
             |
       _cons |  -.0756893   .1336357    -0.57   0.572    -.3386143    .1872356
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,242    .2217172    .4136563          0   3.431427
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8148
                                                    Adj R-squared     = 0.7502
                                                    Root MSE          = 0.2303

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0071403   .0701798    -0.10   0.919    -.1452173    .1309366
             |
 scale_group |
          2  |   .0959706   .0528046     1.82   0.070    -.0079211    .1998624
          3  |          0  (omitted)
          4  |    .145395    .044876     3.24   0.001     .0571026    .2336874
          5  |    .072335   .0445111     1.63   0.105    -.0152395    .1599095
          6  |   .0662076   .0575324     1.15   0.251     -.046986    .1794013
          7  |          0  (empty)
          8  |   .1096608   .0753146     1.46   0.146    -.0385189    .2578404
          9  |   .1294239   .0442694     2.92   0.004      .042325    .2165228
         10  |   .1390107   .0791466     1.76   0.080    -.0167084    .2947298
         11  |    .123106   .0566431     2.17   0.030     .0116621    .2345499
         12  |   .1136748   .0533908     2.13   0.034     .0086297    .2187199
             |
  year_group |
          5  |  -.4782808   1.20e-07 -4.0e+06   0.000     -.478281   -.4782806
          6  |  -.5958511   .0774049    -7.70   0.000    -.7481434   -.4435588
          7  |  -.5241105   .0597176    -8.78   0.000    -.6416034   -.4066176
          8  |  -.4519721   .0480203    -9.41   0.000    -.5464508   -.3574934
          9  |  -.4326386   .0456527    -9.48   0.000    -.5224592   -.3428181
         10  |  -.3567335   .0483664    -7.38   0.000    -.4518932   -.2615737
         11  |  -.2769692   .0681347    -4.07   0.000    -.4110226   -.1429159
         12  |  -.3664877   .0579954    -6.32   0.000    -.4805923   -.2523832
         13  |   -.307481   .0899453    -3.42   0.001    -.4844462   -.1305157
             |
       _cons |   .5210885    .078592     6.63   0.000     .3664607    .6757163
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,242    .2454605    .4507063          0   3.703159
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7702
                                                    Adj R-squared     = 0.6901
                                                    Root MSE          = 0.2090

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .022001   .0502275     0.44   0.662    -.0768204    .1208223
             |
 scale_group |
          2  |  -.0758071   .0421446    -1.80   0.073    -.1587256    .0071114
          3  |          0  (omitted)
          4  |   .0921533   .0433331     2.13   0.034     .0068964    .1774102
          5  |   .0272906    .042561     0.64   0.522    -.0564471    .1110284
          6  |  -.0333523   .0723613    -0.46   0.645    -.1757213    .1090168
          7  |          0  (empty)
          8  |  -.0020438   .0442814    -0.05   0.963    -.0891663    .0850787
          9  |   .0501798   .0572064     0.88   0.381    -.0623725    .1627321
         10  |   .1776356   .0684397     2.60   0.010      .042982    .3122891
         11  |   .0182981   .0526139     0.35   0.728    -.0852186    .1218147
         12  |  -.0582283   .0357806    -1.63   0.105    -.1286257    .0121692
             |
  year_group |
          5  |   .0431791   9.49e-08  4.5e+05   0.000     .0431789    .0431793
          6  |  -.3625716   .1421143    -2.55   0.011     -.642178   -.0829651
          7  |   -.336571   .0855445    -3.93   0.000    -.5048777   -.1682643
          8  |  -.3899463   .0667004    -5.85   0.000    -.5211776   -.2587149
          9  |  -.4410094    .060749    -7.26   0.000    -.5605315   -.3214872
         10  |  -.4247192    .060968    -6.97   0.000    -.5446723   -.3047661
         11  |  -.4418761   .0639659    -6.91   0.000    -.5677275   -.3160248
         12  |  -.4166896   .0677266    -6.15   0.000    -.5499401   -.2834391
         13  |  -.4136087   .0676801    -6.11   0.000    -.5467676   -.2804498
             |
       _cons |    .626759   .0754258     8.31   0.000     .4783607    .7751574
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,242    .2483703     .375358          0   2.494613
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.4911
                                                    Adj R-squared     = 0.3135
                                                    Root MSE          = 0.1951

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0227405   .0378677    -0.60   0.549    -.0972442    .0517632
             |
 scale_group |
          2  |  -.2535608   .1208335    -2.10   0.037    -.4912979   -.0158238
          3  |          0  (omitted)
          4  |    .082327   .0398767     2.06   0.040     .0038705    .1607835
          5  |   .0825902   .0282387     2.92   0.004     .0270312    .1381491
          6  |   .0247567   .0524567     0.47   0.637    -.0784505    .1279639
          7  |          0  (empty)
          8  |  -.0715978   .0653593    -1.10   0.274    -.2001907    .0569951
          9  |  -.0134246   .0532514    -0.25   0.801    -.1181954    .0913462
         10  |   .0070908   .0446043     0.16   0.874     -.080667    .0948487
         11  |   .0952476   .0388066     2.45   0.015     .0188965    .1715987
         12  |  -.2572146   .1191585    -2.16   0.032    -.4916561   -.0227731
             |
  year_group |
          5  |  -.0767995          .        .       .            .           .
          6  |   .0218554    .137157     0.16   0.873    -.2479977    .2917084
          7  |   .0429173   .1411879     0.30   0.761    -.2348665    .3207011
          8  |  -.0759779   .1210244    -0.63   0.531    -.3140906    .1621347
          9  |  -.0778307   .1213971    -0.64   0.522    -.3166765    .1610151
         10  |    -.10382   .1208631    -0.86   0.391    -.3416151    .1339751
         11  |  -.0870933   .1225822    -0.71   0.478    -.3282707    .1540842
         12  |  -.1056037     .12178    -0.87   0.387    -.3452029    .1339955
         13  |  -.0844195   .1233921    -0.68   0.494    -.3271905    .1583515
             |
       _cons |   .2287245    .129834     1.76   0.079    -.0267207    .4841697
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,242    .1158621    .2344908          0   1.818334
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7607
                                                    Adj R-squared     = 0.6772
                                                    Root MSE          = 0.2802

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0016059   .0500497    -0.03   0.974    -.1000775    .0968656
             |
 scale_group |
          2  |  -.0130028   .0978265    -0.13   0.894    -.2054741    .1794686
          3  |          0  (omitted)
          4  |  -.1001656   .0634469    -1.58   0.115    -.2249958    .0246646
          5  |   -.006588   .0512634    -0.13   0.898    -.1074474    .0942714
          6  |  -.2046333    .081448    -2.51   0.012    -.3648802   -.0443863
          7  |          0  (empty)
          8  |  -.0879719   .0735038    -1.20   0.232    -.2325889    .0566451
          9  |  -.0564184   .0717281    -0.79   0.432    -.1975418    .0847049
         10  |  -.1857493   .0916473    -2.03   0.044    -.3660631   -.0054356
         11  |  -.1814457   .0670529    -2.71   0.007    -.3133707   -.0495206
         12  |   -.011914     .09348    -0.13   0.899    -.1958337    .1720057
             |
  year_group |
          5  |   .2638681   7.72e-08  3.4e+06   0.000     .2638679    .2638682
          6  |   .8803357   .5589523     1.57   0.116    -.2193894    1.980061
          7  |   .1421058   .1299481     1.09   0.275    -.1135639    .3977755
          8  |   .2958393   .1177884     2.51   0.013     .0640934    .5275851
          9  |   .3995268   .1115781     3.58   0.000     .1799995     .619054
         10  |   .3496304   .1115567     3.13   0.002     .1301453    .5691156
         11  |   .2370286   .1183004     2.00   0.046     .0042754    .4697817
         12  |   .2461835   .1163059     2.12   0.035     .0173545    .4750125
         13  |   .2443588   .1193179     2.05   0.041     .0096038    .4791138
             |
       _cons |   .0476423   .1266463     0.38   0.707    -.2015312    .2968158
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,242    .2728122    .4877281          0   4.339139
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9717
                                                    Adj R-squared     = 0.9618
                                                    Root MSE          = 0.0976

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0311552   .0251397     1.24   0.216    -.0183064    .0806169
             |
 scale_group |
          2  |   .0379166   .0146894     2.58   0.010     .0090156    .0668176
          3  |          0  (omitted)
          4  |  -.0022014   .0186604    -0.12   0.906    -.0389153    .0345126
          5  |   -.010825   .0157701    -0.69   0.493    -.0418523    .0202023
          6  |   .0672229   .0603375     1.11   0.266    -.0514896    .1859355
          7  |          0  (empty)
          8  |   -.050785   .0384048    -1.32   0.187    -.1263456    .0247756
          9  |   .0027541   .0174536     0.16   0.875    -.0315855    .0370936
         10  |  -.0862903   .0729011    -1.18   0.237    -.2297214    .0571407
         11  |   .0209532   .0264377     0.79   0.429    -.0310624    .0729688
         12  |   .0289615   .0131489     2.20   0.028     .0030913    .0548317
             |
  year_group |
          5  |  -.1082169          .        .       .            .           .
          6  |   .1071966    .131441     0.82   0.415    -.1514102    .3658035
          7  |  -.0140462   .0441362    -0.32   0.751    -.1008831    .0727907
          8  |   .0029338   .0441926     0.07   0.947    -.0840141    .0898817
          9  |   .0087419   .0424248     0.21   0.837    -.0747278    .0922116
         10  |  -.0176607   .0423321    -0.42   0.677     -.100948    .0656267
         11  |  -.0021861   .0498065    -0.04   0.965    -.1001792     .095807
         12  |   .0071662   .0474871     0.15   0.880    -.0862635    .1005959
         13  |  -.0073408   .0497206    -0.15   0.883     -.105165    .0904833
             |
       _cons |   .2971718    .047002     6.32   0.000     .2046964    .3896471
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,242    .2970437    .4830543          0   2.229867
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9298
                                                    Adj R-squared     = 0.9054
                                                    Root MSE          = 0.1516

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0710561   .0338978    -2.10   0.037    -.1377492    -.004363
             |
 scale_group |
          2  |   .0882587   .1700958     0.52   0.604    -.2464006    .4229181
          3  |          0  (omitted)
          4  |   .0244294   .0328932     0.74   0.458    -.0402872     .089146
          5  |   .0155034   .0289292     0.54   0.592    -.0414141    .0724209
          6  |   .0102755   .0462212     0.22   0.824    -.0806636    .1012146
          7  |          0  (empty)
          8  |   .0050278   .0359603     0.14   0.889    -.0657232    .0757787
          9  |  -.0035568   .0523792    -0.07   0.946    -.1066116    .0994979
         10  |   .0104144   .0395751     0.26   0.793    -.0674486    .0882773
         11  |   .0034012   .0519785     0.07   0.948    -.0988652    .1056677
         12  |   .1768264    .168442     1.05   0.295    -.1545792     .508232
             |
  year_group |
          5  |  -.2289083          .        .       .            .           .
          6  |  -1.026727   .2729541    -3.76   0.000    -1.563758   -.4896968
          7  |  -1.181314   .2413066    -4.90   0.000    -1.656079   -.7065494
          8  |  -1.119951   .2412272    -4.64   0.000     -1.59456   -.6453426
          9  |  -1.127571   .2372049    -4.75   0.000    -1.594266   -.6608766
         10  |  -1.091328   .2329026    -4.69   0.000    -1.549559   -.6330982
         11  |  -1.071609   .2357921    -4.54   0.000    -1.535525   -.6076942
         12  |  -1.085416   .2359059    -4.60   0.000    -1.549555    -.621277
         13  |  -1.075608   .2376597    -4.53   0.000    -1.543197   -.6080179
             |
       _cons |   1.381509   .2381625     5.80   0.000       .91293    1.850088
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,242    .2891025    .4755735          0    2.87329
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8339
                                                    Adj R-squared     = 0.7760
                                                    Root MSE          = 0.2366

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0476379   .0475639     1.00   0.317    -.0459429    .1412188
             |
 scale_group |
          2  |  -.1428243   .1095758    -1.30   0.193    -.3584121    .0727635
          3  |          0  (omitted)
          4  |   -.057895   .0505341    -1.15   0.253    -.1573196    .0415296
          5  |  -.0219518    .037926    -0.58   0.563    -.0965703    .0526666
          6  |   .0458327   .0946971     0.48   0.629    -.1404816     .232147
          7  |          0  (empty)
          8  |  -.0775835   .0882856    -0.88   0.380    -.2512833    .0961164
          9  |  -.0011628   .0676987    -0.02   0.986    -.1343583    .1320327
         10  |  -.1001625    .101929    -0.98   0.327    -.3007053    .1003804
         11  |   .0158842   .0613804     0.26   0.796    -.1048802    .1366486
         12  |  -.0188819   .1071144    -0.18   0.860    -.2296268     .191863
             |
  year_group |
          5  |  -.0342528   1.31e-07 -2.6e+05   0.000    -.0342531   -.0342526
          6  |   .0208375   .2407821     0.09   0.931    -.4528954    .4945705
          7  |  -.2705991   .1435542    -1.88   0.060    -.5530385    .0118403
          8  |  -.3038527   .1276134    -2.38   0.018    -.5549289   -.0527764
          9  |  -.2761803   .1205526    -2.29   0.023    -.5133646   -.0389959
         10  |  -.2580401   .1197074    -2.16   0.032    -.4935614   -.0225188
         11  |  -.2884202   .1247646    -2.31   0.021    -.5338915   -.0429488
         12  |   -.264995   .1235894    -2.14   0.033    -.5081542   -.0218358
         13  |  -.2817896   .1272671    -2.21   0.028    -.5321846   -.0313946
             |
       _cons |   .6084243   .1326443     4.59   0.000     .3474498    .8693988
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         758           0        758        758

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,242    .3159131    .4955168          0    2.84665

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 321)        =  50.26
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7710
                                                    Adj R-squared     = 0.6909
                                                    Root MSE          = 0.2408

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0128224   .0530969    -0.24   0.809    -.1172843    .0916395
             |
 scale_group |
          2  |   .0106464   .1099604     0.10   0.923    -.2056878    .2269805
          3  |          0  (omitted)
          4  |   .1498589    .028346     5.29   0.000     .0940916    .2056263
          5  |  -.0058944   .0792349    -0.07   0.941    -.1617797    .1499909
          6  |   .1453301   .0776752     1.87   0.062    -.0074867    .2981469
          7  |   .2206514   .0788044     2.80   0.005      .065613    .3756897
          8  |          0  (empty)
          9  |   .1036625     .05866     1.77   0.078    -.0117441    .2190692
         10  |   .1608623   .1045429     1.54   0.125    -.0448136    .3665382
         11  |   .2454828   .0594026     4.13   0.000     .1286153    .3623504
         12  |   -.063216   .1127453    -0.56   0.575    -.2850291    .1585971
             |
  year_group |
          5  |   .0370055   .0058762     6.30   0.000     .0254447    .0485662
          6  |  -.3474918   .2163419    -1.61   0.109    -.7731189    .0781354
          7  |   .0030135   .1622227     0.02   0.985    -.3161405    .3221676
          8  |   .0075579    .135456     0.06   0.956    -.2589359    .2740517
          9  |   .1010749   .1326813     0.76   0.447    -.1599598    .3621097
         10  |   .1018243   .1356622     0.75   0.453    -.1650749    .3687236
         11  |   .1465961   .1450979     1.01   0.313     -.138867    .4320591
         12  |   .1878086   .1414975     1.33   0.185     -.090571    .4661882
         13  |   .1245227   .1456207     0.86   0.393    -.1619689    .4110143
             |
       _cons |   .0547894   .1391412     0.39   0.694    -.2189544    .3285332
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,294    .2205234    .4147007          0    3.58894
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(18, 321)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8322
                                                    Adj R-squared     = 0.7735
                                                    Root MSE          = 0.2209

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0447781   .0542972     0.82   0.410    -.0620452    .1516015
             |
 scale_group |
          2  |  -.0746594   .0597405    -1.25   0.212    -.1921918    .0428729
          3  |          0  (omitted)
          4  |   .1422922   .0245759     5.79   0.000     .0939419    .1906424
          5  |   .1155886   .0447489     2.58   0.010     .0275505    .2036268
          6  |   .1327429   .0492584     2.69   0.007     .0358328    .2296529
          7  |   .1131374   .0508748     2.22   0.027     .0130473    .2132276
          8  |          0  (empty)
          9  |   .1258531   .0289506     4.35   0.000     .0688962      .18281
         10  |   .1618216   .0542487     2.98   0.003     .0550936    .2685496
         11  |   .1520684   .0453541     3.35   0.001     .0628396    .2412971
         12  |  -.1004249    .061469    -1.63   0.103    -.2213579    .0205081
             |
  year_group |
          5  |  -.4086852          .        .       .            .           .
          6  |  -.5425427   .0742394    -7.31   0.000    -.6886001   -.3964854
          7  |   -.469655   .0545903    -8.60   0.000     -.577055    -.362255
          8  |  -.3955311   .0425858    -9.29   0.000    -.4793136   -.3117486
          9  |   -.371054   .0363842   -10.20   0.000    -.4426356   -.2994724
         10  |  -.2927592   .0408076    -7.17   0.000    -.3730433   -.2124752
         11  |  -.2605366   .0556816    -4.68   0.000    -.3700835   -.1509897
         12  |  -.3040684   .0520504    -5.84   0.000    -.4064715   -.2016653
         13  |  -.1528971     .08542    -1.79   0.074    -.3209509    .0151567
             |
       _cons |   .4794885   .0542159     8.84   0.000     .3728251     .586152
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,294    .2453861     .440103          0   3.302642
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 321)        =   6.54
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7818
                                                    Adj R-squared     = 0.7055
                                                    Root MSE          = 0.2013

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0192825   .0399112     0.48   0.629     -.059238    .0978031
             |
 scale_group |
          2  |  -.0531827   .0752865    -0.71   0.480       -.2013    .0949346
          3  |          0  (omitted)
          4  |   .0211427    .023933     0.88   0.378    -.0259427     .068228
          5  |  -.0486374    .041511    -1.17   0.242    -.1303054    .0330307
          6  |   -.095238   .0651657    -1.46   0.145    -.2234437    .0329677
          7  |   -.031675   .0386724    -0.82   0.413    -.1077584    .0444083
          8  |          0  (empty)
          9  |  -.0513414   .0429452    -1.20   0.233     -.135831    .0331482
         10  |   .0583213   .0358051     1.63   0.104     -.012121    .1287635
         11  |  -.0025829   .0404453    -0.06   0.949    -.0821542    .0769884
         12  |  -.0556855   .0799517    -0.70   0.487    -.2129809      .10161
             |
  year_group |
          5  |   .2125102   .0876213     2.43   0.016     .0401257    .3848947
          6  |  -.0280124   .1534628    -0.18   0.855    -.3299323    .2739075
          7  |  -.1295312   .1169236    -1.11   0.269    -.3595645    .1005022
          8  |   -.073044   .1070898    -0.68   0.496    -.2837305    .1376425
          9  |  -.1278693   .0994597    -1.29   0.199    -.3235446     .067806
         10  |  -.1396803    .099736    -1.40   0.162    -.3358992    .0565386
         11  |  -.1417714   .1020132    -1.39   0.166    -.3424704    .0589275
         12  |  -.1393212   .1018943    -1.37   0.172    -.3397862    .0611437
         13  |  -.1108811    .102567    -1.08   0.280    -.3126695    .0909073
             |
       _cons |   .3833242   .1047137     3.66   0.000     .1773123     .589336
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,294    .2416762    .3678469          0   2.363682
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 321)        =   3.85
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5130
                                                    Adj R-squared     = 0.3426
                                                    Root MSE          = 0.2401

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0547447   .0422043    -1.30   0.196    -.1377767    .0282874
             |
 scale_group |
          2  |  -.7065803   .3306907    -2.14   0.033    -1.357175   -.0559855
          3  |          0  (omitted)
          4  |   .1383053   .0462822     2.99   0.003     .0472506    .2293599
          5  |   .1105569   .0622631     1.78   0.077    -.0119384    .2330522
          6  |    .205912   .0571619     3.60   0.000     .0934528    .3183712
          7  |   .0643163   .0539744     1.19   0.234     -.041872    .1705045
          8  |          0  (empty)
          9  |   .0377994   .0593479     0.64   0.525    -.0789606    .1545595
         10  |   .0961559   .0607149     1.58   0.114    -.0232934    .2156052
         11  |   .1965343   .0702317     2.80   0.005     .0583617    .3347069
         12  |  -.6964856   .3234875    -2.15   0.032    -1.332909   -.0600623
             |
  year_group |
          5  |   .1151158   .0782023     1.47   0.142    -.0387379    .2689695
          6  |    .239247   .1834232     1.30   0.193    -.1216165    .6001105
          7  |   .2459732   .1939991     1.27   0.206    -.1356971    .6276435
          8  |   .0869185   .1718647     0.51   0.613    -.2512049    .4250419
          9  |   .1234613   .1750025     0.71   0.481    -.2208354     .467758
         10  |   .0944174   .1748988     0.54   0.590    -.2496753    .4385102
         11  |    .141321   .1762183     0.80   0.423    -.2053677    .4880097
         12  |   .0622725   .1765349     0.35   0.725    -.2850391     .409584
         13  |     .08095   .1773303     0.46   0.648    -.2679264    .4298263
             |
       _cons |   .1758542   .1990628     0.88   0.378    -.2157783    .5674867
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,294     .133876     .275414          0   2.348305
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 321)        =   8.84
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7676
                                                    Adj R-squared     = 0.6864
                                                    Root MSE          = 0.2721

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0465903   .0513448     0.91   0.365    -.0544245    .1476051
             |
 scale_group |
          2  |   .1036762    .154748     0.67   0.503    -.2007722    .4081247
          3  |          0  (omitted)
          4  |   .0111859   .0299042     0.37   0.709    -.0476471    .0700189
          5  |   .0666809   .0491708     1.36   0.176    -.0300569    .1634187
          6  |  -.0513588   .0623141    -0.82   0.410    -.1739544    .0712368
          7  |   .0908551   .0613717     1.48   0.140    -.0298865    .2115967
          8  |          0  (empty)
          9  |   .0818391   .0897728     0.91   0.363    -.0947784    .2584565
         10  |  -.0626511   .0679815    -0.92   0.357    -.1963967    .0710946
         11  |  -.0338917   .0482464    -0.70   0.483    -.1288107    .0610272
         12  |   .1161965    .146591     0.79   0.429    -.1722038    .4045969
             |
  year_group |
          5  |  -.0041125   .1167869    -0.04   0.972    -.2338768    .2256518
          6  |   .7458767   .4437226     1.68   0.094    -.1270951    1.618848
          7  |   .2950624   .1796704     1.64   0.102    -.0584178    .6485426
          8  |   .3264583   .1612061     2.03   0.044     .0093043    .6436122
          9  |   .1988955   .1550884     1.28   0.201    -.1062226    .5040137
         10  |   .1877914   .1593145     1.18   0.239    -.1256409    .5012238
         11  |   .0491482   .1612522     0.30   0.761    -.2680964    .3663928
         12  |   .0844367   .1606268     0.53   0.599    -.2315775    .4004509
         13  |    .066657   .1634068     0.41   0.684    -.2548265    .3881405
             |
       _cons |   .0649454   .1617051     0.40   0.688    -.2531902    .3830811
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,294    .2655034    .4814045          0   3.650105
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 321)        =   3.88
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9667
                                                    Adj R-squared     = 0.9550
                                                    Root MSE          = 0.1113

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0008843   .0204206     0.04   0.965    -.0392909    .0410595
             |
 scale_group |
          2  |   .0219466    .033347     0.66   0.511    -.0436596    .0875528
          3  |          0  (omitted)
          4  |    .007093   .0165465     0.43   0.668    -.0254602    .0396462
          5  |  -.0297762   .0254067    -1.17   0.242     -.079761    .0202085
          6  |   .0565169   .0537301     1.05   0.294    -.0491906    .1622245
          7  |  -.0528726   .0306378    -1.73   0.085    -.1131489    .0074038
          8  |          0  (empty)
          9  |   .0055403   .0282338     0.20   0.845    -.0500063     .061087
         10  |  -.1092782   .0618638    -1.77   0.078    -.2309879    .0124315
         11  |  -.0003798   .0258025    -0.01   0.988    -.0511431    .0503834
         12  |   .0238694   .0349524     0.68   0.495    -.0448953     .092634
             |
  year_group |
          5  |  -.1472725   .0242513    -6.07   0.000    -.1949841   -.0995609
          6  |   .0140906   .1358093     0.10   0.917    -.2530982    .2812793
          7  |  -.0765166   .0504168    -1.52   0.130    -.1757058    .0226725
          8  |  -.0631346   .0457722    -1.38   0.169    -.1531859    .0269167
          9  |   -.061775   .0421446    -1.47   0.144    -.1446894    .0211395
         10  |  -.0880138   .0424527    -2.07   0.039    -.1715344   -.0044932
         11  |  -.0919199   .0480868    -1.91   0.057    -.1865249    .0026851
         12  |  -.0784569   .0477592    -1.64   0.101    -.1724174    .0155036
         13  |  -.0838559   .0499309    -1.68   0.094    -.1820891    .0143773
             |
       _cons |   .4098875   .0469643     8.73   0.000     .3174908    .5022843
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,294    .3066861     .498518          0   2.673369
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 321)        =   8.60
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9465
                                                    Adj R-squared     = 0.9278
                                                    Root MSE          = 0.1358

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0017295   .0327384    -0.05   0.958    -.0661384    .0626793
             |
 scale_group |
          2  |  -.0230095    .169087    -0.14   0.892    -.3556681    .3096491
          3  |          0  (omitted)
          4  |   .0319541   .0184729     1.73   0.085    -.0043891    .0682972
          5  |   .0104015   .0233534     0.45   0.656    -.0355435    .0563465
          6  |   .0179958   .0298677     0.60   0.547    -.0407654    .0767569
          7  |   .0081442   .0366155     0.22   0.824    -.0638924    .0801808
          8  |          0  (empty)
          9  |   .0191401   .0259693     0.74   0.462    -.0319514    .0702317
         10  |   .0023671   .0302514     0.08   0.938     -.057149    .0618832
         11  |   .0333246   .0436007     0.76   0.445    -.0524547    .1191039
         12  |  -.0394774   .1630293    -0.24   0.809    -.3602183    .2812636
             |
  year_group |
          5  |  -.2515312   .0212989   -11.81   0.000    -.2934342   -.2096283
          6  |  -.7922148   .1588344    -4.99   0.000    -1.104703   -.4797268
          7  |   -.776955   .1584044    -4.90   0.000    -1.088597    -.465313
          8  |  -.7793341   .1571723    -4.96   0.000    -1.088552   -.4701162
          9  |  -.7607605   .1535665    -4.95   0.000    -1.062884   -.4586365
         10  |  -.7584595   .1507145    -5.03   0.000    -1.054972   -.4619466
         11  |  -.7245225   .1532935    -4.73   0.000    -1.026109   -.4229357
         12  |  -.7312569   .1532098    -4.77   0.000    -1.032679   -.4298348
         13  |  -.7480762   .1551345    -4.82   0.000    -1.053285   -.4428675
             |
       _cons |   1.045231   .1581364     6.61   0.000      .734116    1.356345
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,294    .2897076    .4864636          0   2.370752
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    317
                                                    F(19, 321)        =   7.80
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9248
                                                    Adj R-squared     = 0.8985
                                                    Root MSE          = 0.1512

                        (Std. err. adjusted for 322 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0183048   .0307503     0.60   0.552    -.0421928    .0788024
             |
 scale_group |
          2  |  -.5081546   .1744146    -2.91   0.004    -.8512946   -.1650146
          3  |          0  (omitted)
          4  |  -.0198996   .0167171    -1.19   0.235    -.0527885    .0129893
          5  |  -.0104113    .025487    -0.41   0.683     -.060554    .0397314
          6  |  -.0204171   .0348354    -0.59   0.558    -.0889517    .0481174
          7  |   -.006499   .0385288    -0.17   0.866    -.0822999    .0693019
          8  |          0  (empty)
          9  |  -.0252598   .0410976    -0.61   0.539    -.1061144    .0555948
         10  |  -.0577938   .0698347    -0.83   0.409    -.1951853    .0795976
         11  |  -.0224447   .0301154    -0.75   0.457    -.0816931    .0368037
         12  |  -.4811031   .1678335    -2.87   0.004    -.8112956   -.1509107
             |
  year_group |
          5  |  -.0771321   .0652081    -1.18   0.238    -.2054212    .0511571
          6  |   .3541129   .1727178     2.05   0.041     .0143111    .6939148
          7  |   .1115375   .1004904     1.11   0.268    -.0861656    .3092405
          8  |    .105554    .086197     1.22   0.222    -.0640284    .2751364
          9  |   .0273556   .0838076     0.33   0.744    -.1375258    .1922371
         10  |   .0241291   .0860872     0.28   0.779    -.1452374    .1934955
         11  |  -.0365285   .0870643    -0.42   0.675    -.2078172    .1347603
         12  |   -.036332   .0873283    -0.42   0.678    -.2081402    .1354761
         13  |  -.0319193   .0883938    -0.36   0.718    -.2058236    .1419849
             |
       _cons |   .4238401   .0989433     4.28   0.000     .2291809    .6184993
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         774           0        774        774

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,294    .2633068    .4621309          0   2.456756

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(17, 311)        =   5.58
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7245
                                                    Adj R-squared     = 0.6339
                                                    Root MSE          = 0.2402

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0203142   .0573625     0.35   0.723    -.0925534    .1331818
             |
 scale_group |
          2  |   .0376788   .0411849     0.91   0.361    -.0433574     .118715
          3  |    .226987   .0605056     3.75   0.000     .1079349    .3460392
          4  |   .0167434   .0787147     0.21   0.832    -.1381372    .1716241
          5  |  -.0724212   .0769856    -0.94   0.348    -.2238998    .0790574
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |   .0699739    .087884     0.80   0.427    -.1029486    .2428964
          9  |  -.1075177   .0838253    -1.28   0.201    -.2724541    .0574188
         10  |          0  (empty)
         11  |   .0282296   .0748201     0.38   0.706     -.118988    .1754472
         12  |          0  (omitted)
             |
  year_group |
          5  |   .0302855   .0056906     5.32   0.000     .0190884    .0414825
          6  |  -.1254242   .1991726    -0.63   0.529    -.5173204     .266472
          7  |   .1181248   .1155503     1.02   0.307    -.1092344    .3454839
          8  |   .1540299   .0917104     1.68   0.094    -.0264214    .3344811
          9  |   .2006115   .1012017     1.98   0.048     .0014849    .3997382
         10  |   .2205743   .0917104     2.41   0.017      .040123    .4010256
         11  |   .3264899   .1010929     3.23   0.001     .1275774    .5254025
         12  |   .2778839   .0987947     2.81   0.005     .0834933    .4722745
         13  |   .2445661   .1012801     2.41   0.016     .0452853    .4438469
             |
       _cons |   -.024159   .1091558    -0.22   0.825    -.2389362    .1906182
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,242    .1994345    .3785496          0    3.10976
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,242
Absorbed variable: factor_pair                    No. of categories =      291
                                                  F(17, 311)        = 5.69e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8188
                                                  Adj R-squared     =   0.7592
                                                  Root MSE          =   0.2304

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0407852    .053083    -0.77   0.443    -.1452325     .063662
             |
 scale_group |
          2  |   .0453164   .0273592     1.66   0.099    -.0085162    .0991491
          3  |   .0118736   .0397728     0.30   0.765    -.0663842    .0901313
          4  |   .0347973   .0461856     0.75   0.452    -.0560785    .1256731
          5  |  -.0343274   .0482352    -0.71   0.477     -.129236    .0605811
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |  -.0201754    .055742    -0.36   0.718    -.1298545    .0895038
          9  |  -.0022649   .0465446    -0.05   0.961     -.093847    .0893172
         10  |          0  (empty)
         11  |   .0164254   .0488356     0.34   0.737    -.0796646    .1125154
         12  |          0  (omitted)
             |
  year_group |
          5  |  -.3939841   4.01e-08 -9.8e+06   0.000    -.3939842    -.393984
          6  |  -.4919072   .0785642    -6.26   0.000    -.6464917   -.3373227
          7  |  -.3952373   .0574674    -6.88   0.000    -.5083114   -.2821633
          8  |    -.33517   .0497492    -6.74   0.000    -.4330576   -.2372824
          9  |  -.3196121   .0515382    -6.20   0.000    -.4210198   -.2182044
         10  |  -.2558062   .0497492    -5.14   0.000    -.3536938   -.1579186
         11  |   -.230765   .0615409    -3.75   0.000    -.3518542   -.1096759
         12  |  -.2660789   .0571308    -4.66   0.000    -.3784907   -.1536671
         13  |  -.1643077   .0916616    -1.79   0.074    -.3446631    .0160476
             |
       _cons |   .5443408   .0654325     8.32   0.000     .4155944    .6730872
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,242    .2508295    .4524689          0   3.324136
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(17, 311)        =  10.40
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7135
                                                    Adj R-squared     = 0.6193
                                                    Root MSE          = 0.2359

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0558676   .0472623     1.18   0.238    -.0371268    .1488619
             |
 scale_group |
          2  |   .0409937    .050142     0.82   0.414    -.0576667    .1396541
          3  |  -.1394358   .1309924    -1.06   0.288    -.3971791    .1183076
          4  |   .0945671   .0378322     2.50   0.013     .0201277    .1690066
          5  |   .0636299   .0424309     1.50   0.135    -.0198581    .1471179
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |   .0368726    .042699     0.86   0.389    -.0471429     .120888
          9  |    .009801   .0427139     0.23   0.819    -.0742437    .0938458
         10  |          0  (empty)
         11  |   .0873427    .036808     2.37   0.018     .0149184     .159767
         12  |          0  (omitted)
             |
  year_group |
          5  |   .2570942   .1213896     2.12   0.035     .0182455    .4959429
          6  |  -.0293086   .1499318    -0.20   0.845    -.3243175    .2657003
          7  |  -.0866847   .1448421    -0.60   0.550    -.3716791    .1983097
          8  |  -.1184375    .128525    -0.92   0.357     -.371326    .1344509
          9  |  -.1721646   .1321451    -1.30   0.194    -.4321761    .0878469
         10  |  -.2047667    .128525    -1.59   0.112    -.4576551    .0481218
         11  |  -.1760498   .1299039    -1.36   0.176    -.4316514    .0795518
         12  |  -.1580294   .1327583    -1.19   0.235    -.4192475    .1031886
         13  |   -.163744   .1311442    -1.25   0.213    -.4217861    .0942982
             |
       _cons |   .3311552   .1307514     2.53   0.012      .073886    .5884244
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,242    .2626925    .4050754          0     3.0823
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(17, 311)        =   3.39
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5885
                                                    Adj R-squared     = 0.4532
                                                    Root MSE          = 0.1994

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0223726   .0410439    -0.55   0.586    -.1031315    .0583863
             |
 scale_group |
          2  |   .0062013   .0453518     0.14   0.891    -.0830339    .0954365
          3  |  -.1080236   .0600199    -1.80   0.073      -.22612    .0100728
          4  |  -.0639338   .0349113    -1.83   0.068    -.1326259    .0047584
          5  |  -.0826326   .0351083    -2.35   0.019    -.1517125   -.0135527
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |  -.1396232   .0410812    -3.40   0.001    -.2204555   -.0587908
          9  |  -.1481798   .0374617    -3.96   0.000    -.2218903   -.0744693
         10  |          0  (empty)
         11  |  -.0719861   .0348684    -2.06   0.040    -.1405938   -.0033783
         12  |          0  (omitted)
             |
  year_group |
          5  |   .1801751    .205978     0.87   0.382    -.2251116    .5854618
          6  |  -.1256053   .2446955    -0.51   0.608    -.6070733    .3558627
          7  |  -.1413552   .2383644    -0.59   0.554    -.6103661    .3276557
          8  |  -.2302482   .2330501    -0.99   0.324    -.6888024    .2283061
          9  |  -.2039482   .2338735    -0.87   0.384    -.6641226    .2562262
         10  |  -.2158237   .2330501    -0.93   0.355     -.674378    .2427305
         11  |  -.1800069   .2338121    -0.77   0.442    -.6400605    .2800467
         12  |  -.2016905   .2339638    -0.86   0.389    -.6620425    .2586615
         13  |  -.1890309    .234534    -0.81   0.421     -.650505    .2724433
             |
       _cons |   .3868539   .2330031     1.66   0.098     -.071608    .8453158
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,242     .125511    .2672806          0   2.718345
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(17, 311)        =   9.88
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7689
                                                    Adj R-squared     = 0.6929
                                                    Root MSE          = 0.2668

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0680317   .0563584     1.21   0.228    -.0428602    .1789236
             |
 scale_group |
          2  |  -.0506597    .041045    -1.23   0.218    -.1314208    .0301014
          3  |  -.0683857   .1650574    -0.41   0.679    -.3931561    .2563847
          4  |   .0683342   .0923756     0.74   0.460    -.1134259    .2500944
          5  |   .1568395   .1102014     1.42   0.156    -.0599951     .373674
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |   .1140773   .1009902     1.13   0.260    -.0846332    .3127878
          9  |   .1969901   .1256691     1.57   0.118    -.0502791    .4442593
         10  |          0  (empty)
         11  |    .002205   .0899367     0.02   0.980    -.1747564    .1791664
         12  |          0  (omitted)
             |
  year_group |
          5  |   .0701536    .118967     0.59   0.556    -.1639285    .3042357
          6  |   .7295518   .3822838     1.91   0.057    -.0226379    1.481741
          7  |   .3117299   .1480439     2.11   0.036     .0204356    .6030242
          8  |    .331038   .1258411     2.63   0.009     .0834303    .5786456
          9  |   .3431741    .129699     2.65   0.009     .0879757    .5983725
         10  |   .3523952   .1258411     2.80   0.005     .1047875    .6000029
         11  |   .2388171   .1307939     1.83   0.069    -.0185358    .4961699
         12  |   .2152116   .1293282     1.66   0.097    -.0392573    .4696805
         13  |   .2669935   .1303002     2.05   0.041      .010612     .523375
             |
       _cons |  -.1068446    .145682    -0.73   0.464    -.3934915    .1798023
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,242    .2635567    .4695838          0   4.358227
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(17, 311)        =   3.08
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9738
                                                    Adj R-squared     = 0.9652
                                                    Root MSE          = 0.0952

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.011624    .019283    -0.60   0.547    -.0495657    .0263177
             |
 scale_group |
          2  |    -.01843    .019131    -0.96   0.336    -.0560725    .0192126
          3  |    .005951   .0264184     0.23   0.822    -.0460304    .0579323
          4  |   .0483689   .0247981     1.95   0.052    -.0004243    .0971622
          5  |   .0407528   .0236225     1.73   0.085    -.0057273    .0872329
          6  |   .0304398   .0458618     0.66   0.507    -.0597988    .1206785
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0859543   .0321329     2.67   0.008      .022729    .1491796
         10  |          0  (empty)
         11  |   .0350977   .0217026     1.62   0.107    -.0076048    .0778001
         12  |          0  (omitted)
             |
  year_group |
          5  |  -.1492904   .0343634    -4.34   0.000    -.2169046   -.0816763
          6  |   .0575321    .114618     0.50   0.616    -.1679926    .2830568
          7  |   -.019738   .0572517    -0.34   0.731    -.1323876    .0929116
          8  |   -.024421   .0549087    -0.44   0.657    -.1324605    .0836185
          9  |  -.0067241   .0568447    -0.12   0.906    -.1185729    .1051246
         10  |   -.038101   .0549087    -0.69   0.488    -.1461406    .0699385
         11  |  -.0446009   .0574079    -0.78   0.438    -.1575579    .0683561
         12  |  -.0318981   .0562768    -0.57   0.571    -.1426295    .0788333
         13  |  -.0302489   .0584748    -0.52   0.605    -.1453052    .0848073
             |
       _cons |   .3393477   .0570189     5.95   0.000      .227156    .4515394
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,242    .3087905    .4892908          0   2.599054
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(17, 311)        =   6.98
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9442
                                                    Adj R-squared     = 0.9259
                                                    Root MSE          = 0.1331

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0136727    .032997    -0.41   0.679    -.0785983    .0512529
             |
 scale_group |
          2  |    .022075   .0602773     0.37   0.714     -.096528     .140678
          3  |   .3343811   .2025053     1.65   0.100    -.0640726    .7328349
          4  |    .013296   .0304745     0.44   0.663    -.0466662    .0732581
          5  |   .0072059   .0337533     0.21   0.831    -.0592077    .0736196
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |   .0295099   .0364208     0.81   0.418    -.0421524    .1011722
          9  |  -.0114458   .0372732    -0.31   0.759    -.0847855    .0618938
         10  |          0  (empty)
         11  |     .03828   .0335558     1.14   0.255     -.027745    .1043051
         12  |          0  (omitted)
             |
  year_group |
          5  |  -.2512765   .0271665    -9.25   0.000    -.3047298   -.1978232
          6  |  -.4826273   .1376177    -3.51   0.001    -.7534067   -.2118478
          7  |  -.5915523   .0962155    -6.15   0.000    -.7808679   -.4022368
          8  |   -.571963   .0922222    -6.20   0.000    -.7534213   -.3905048
          9  |  -.5349389   .0937439    -5.71   0.000    -.7193915   -.3504864
         10  |   -.566391   .0922222    -6.14   0.000    -.7478493   -.3849328
         11  |  -.4954095   .0964169    -5.14   0.000    -.6851214   -.3056975
         12  |  -.5146424   .0957806    -5.37   0.000    -.7031024   -.3261825
         13  |  -.5049827   .0976513    -5.17   0.000    -.6971235   -.3128419
             |
       _cons |   .8358556   .0964689     8.66   0.000     .6460413     1.02567
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,242    .2913277    .4726882          0   2.876044
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 12.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(17, 311)        =   3.98
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7421
                                                    Adj R-squared     = 0.6574
                                                    Root MSE          = 0.3037

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0764219   .0631132     1.21   0.227    -.0477609    .2006047
             |
 scale_group |
          2  |  -.0984959   .0478825    -2.06   0.041    -.1927105   -.0042813
          3  |  -.2590516   .1569965    -1.65   0.100    -.5679611     .049858
          4  |  -.0027113   .0661245    -0.04   0.967    -.1328192    .1273966
          5  |  -.0263771   .0666987    -0.40   0.693    -.1576149    .1048608
          6  |   .0553333   .0991436     0.56   0.577    -.1397438    .2504104
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .1412787   .0820718     1.72   0.086    -.0202075    .3027648
         10  |          0  (empty)
         11  |   .0820828   .0668963     1.23   0.221    -.0495438    .2137095
         12  |          0  (omitted)
             |
  year_group |
          5  |  -.1486707   .0235235    -6.32   0.000    -.1949561   -.1023854
          6  |  -.2428283    .224547    -1.08   0.280    -.6846518    .1989952
          7  |  -.0530073   .1788753    -0.30   0.767    -.4049661    .2989514
          8  |  -.1883932   .1583359    -1.19   0.235    -.4999382    .1231519
          9  |  -.1946141   .1610645    -1.21   0.228    -.5115281    .1222998
         10  |  -.1794194   .1583359    -1.13   0.258    -.4909644    .1321257
         11  |  -.1685244   .1613495    -1.04   0.297    -.4859991    .1489503
         12  |  -.1208711    .162572    -0.74   0.458    -.4407512     .199009
         13  |  -.0944763   .1649547    -0.57   0.567    -.4190446     .230092
             |
       _cons |   .4616777   .1627841     2.84   0.005     .1413803    .7819751
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,242    .3406621    .5213919          0   2.769651

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(810 missing values generated)
(810 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,180
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7719
                                                    Adj R-squared     = 0.6869
                                                    Root MSE          = 0.2228

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .001245    .042538     0.03   0.977    -.0824396    .0849296
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0345442   .0681805     0.51   0.613    -.0995867    .1686751
          3  |          0  (omitted)
          4  |  -.0493046   .0891682    -0.55   0.581    -.2247244    .1261152
          5  |  -.0922022   .0937718    -0.98   0.326    -.2766785    .0922741
          6  |  -.2474406   .1359223    -1.82   0.070    -.5148392     .019958
          7  |   .0244495   .0672663     0.36   0.716    -.1078829    .1567819
          8  |   .0302287   .0672663     0.45   0.653    -.1021037    .1625611
          9  |  -.0527593   .1031212    -0.51   0.609    -.2556286    .1501099
         10  |          0  (omitted)
         11  |   .0496408   .0907713     0.55   0.585    -.1289326    .2282142
         12  |   .0548679   .0584108     0.94   0.348     -.060043    .1697788
             |
  year_group |
          5  |   .0642086   .0074304     8.64   0.000     .0495908    .0788264
          6  |  -.3313496   .1717838    -1.93   0.055    -.6692981     .006599
          7  |   .0500912   .1540977     0.33   0.745    -.2530637    .3532461
          8  |   -.049838   .1361703    -0.37   0.715    -.3177245    .2180485
          9  |   .0659339   .1372854     0.48   0.631    -.2041462     .336014
         10  |   .1046699   .1404255     0.75   0.457    -.1715877    .3809275
         11  |   .1697322   .1456819     1.17   0.245    -.1168664    .4563307
         12  |   .1752218   .1469108     1.19   0.234    -.1137945     .464238
         13  |   .1863959   .1470312     1.27   0.206    -.1028572     .475649
             |
       _cons |   .1355356   .1533685     0.88   0.377    -.1661848     .437256
------------------------------------------------------------------------------
(810 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,180         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,180     .224707      .40681          0   2.978486
(810 missing values generated)
(810 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,180
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8367
                                                    Adj R-squared     = 0.7759
                                                    Root MSE          = 0.2232

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0256695   .0441952    -0.58   0.562    -.1126144    .0612753
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0147841   .0454389     0.33   0.745    -.0746073    .1041755
          3  |          0  (omitted)
          4  |  -.0118276   .0439388    -0.27   0.788    -.0982679    .0746128
          5  |   -.061127   .0470002    -1.30   0.194      -.15359     .031336
          6  |     .06714   .0566734     1.18   0.237     -.044353     .178633
          7  |  -.0710109   .0437244    -1.62   0.105    -.1570294    .0150076
          8  |   -.071011   .0437244    -1.62   0.105    -.1570294    .0150075
          9  |  -.0784946   .0495262    -1.58   0.114    -.1759271    .0189379
         10  |          0  (omitted)
         11  |  -.0159898   .0552974    -0.29   0.773    -.1247759    .0927963
         12  |   .0536298   .0364171     1.47   0.142    -.0180132    .1252728
             |
  year_group |
          5  |  -.4294125   3.98e-08 -1.1e+07   0.000    -.4294126   -.4294124
          6  |  -.3613018   .1972188    -1.83   0.068    -.7492883    .0266847
          7  |  -.3691077   .1223804    -3.02   0.003    -.6098654     -.12835
          8  |  -.3043498   .1179758    -2.58   0.010    -.5364424   -.0722572
          9  |   -.311293   .1180865    -2.64   0.009    -.5436034   -.0789825
         10  |  -.1827165   .1205899    -1.52   0.131    -.4199519    .0545189
         11  |  -.1425674   .1249267    -1.14   0.255    -.3883345    .1031997
         12  |  -.2498661   .1230614    -2.03   0.043    -.4919636   -.0077686
         13  |  -.1326243   .1394959    -0.95   0.342    -.4070531    .1418045
             |
       _cons |   .5346672   .1257091     4.25   0.000      .287361    .7819734
------------------------------------------------------------------------------
(810 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,180         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,180    .2831433    .4801476          0   3.112654
(810 missing values generated)
(810 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,180
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7899
                                                    Adj R-squared     = 0.7117
                                                    Root MSE          = 0.2049

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0132146   .0324163     0.41   0.684    -.0505577    .0769869
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.1283598   .0503875    -2.55   0.011    -.2274867   -.0292329
          3  |          0  (omitted)
          4  |  -.1075379    .035976    -2.99   0.003    -.1783132   -.0367627
          5  |   -.146376   .0466448    -3.14   0.002      -.23814   -.0546121
          6  |  -.1929288    .074684    -2.58   0.010     -.339854   -.0460037
          7  |   -.189585   .0389297    -4.87   0.000    -.2661711   -.1129989
          8  |   -.189585   .0389297    -4.87   0.000    -.2661711   -.1129989
          9  |  -.1980459   .0564944    -3.51   0.001    -.3091868    -.086905
         10  |          0  (omitted)
         11  |  -.0843285   .0425072    -1.98   0.048    -.1679526   -.0007045
         12  |  -.0724376   .0413425    -1.75   0.081    -.1537703    .0088951
             |
  year_group |
          5  |   .3198629   .0730896     4.38   0.000     .1760744    .4636513
          6  |   .0500523   .2319944     0.22   0.829     -.406348    .5064527
          7  |  -.0820492   .1768865    -0.46   0.643    -.4300362    .2659378
          8  |  -.1194249   .1657649    -0.72   0.472    -.4455325    .2066827
          9  |  -.2023268   .1678193    -1.21   0.229     -.532476    .1278225
         10  |  -.1899419   .1678964    -1.13   0.259    -.5202428    .1403591
         11  |  -.2060224   .1680614    -1.23   0.221     -.536648    .1246032
         12  |  -.2124817   .1695059    -1.25   0.211     -.545949    .1209856
         13  |  -.1678414   .1689565    -0.99   0.321    -.5002279    .1645452
             |
       _cons |   .5252659   .1679551     3.13   0.002     .1948496    .8556823
------------------------------------------------------------------------------
(810 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,180         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,180    .2396022    .3832824          0   2.781049
(810 missing values generated)
(810 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,180
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5366
                                                    Adj R-squared     = 0.3639
                                                    Root MSE          = 0.2460

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0464468   .0322939    -1.44   0.151    -.1099783    .0170848
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.1072244   .2242034    -0.48   0.633    -.5482976    .3338487
          3  |          0  (omitted)
          4  |    .094278   .0321905     2.93   0.004       .03095    .1576061
          5  |   .0686619   .0498378     1.38   0.169    -.0293835    .1667074
          6  |   .1338061   .0388242     3.45   0.001     .0574276    .2101846
          7  |  -.0366343   .0533662    -0.69   0.493    -.1416212    .0683525
          8  |  -.0366343   .0533662    -0.69   0.493    -.1416212    .0683525
          9  |  -.0194139   .0544441    -0.36   0.722    -.1265212    .0876935
         10  |          0  (omitted)
         11  |   .1200025   .0501668     2.39   0.017       .02131    .2186951
         12  |  -.2098718   .2063463    -1.02   0.310    -.6158149    .1960712
             |
  year_group |
          5  |   .1465829    .002272    64.52   0.000     .1421133    .1510525
          6  |   .4211422   .1038562     4.06   0.000      .216827    .6254574
          7  |   .4068518   .1605475     2.53   0.012     .0910083    .7226954
          8  |   .2808006   .1367356     2.05   0.041     .0118019    .5497992
          9  |   .2101985   .1301278     1.62   0.107    -.0458007    .4661977
         10  |   .2166921   .1325829     1.63   0.103    -.0441369    .4775211
         11  |   .2639978   .1340756     1.97   0.050     .0002322    .5277633
         12  |   .2544815   .1327531     1.92   0.056    -.0066825    .5156454
         13  |   .2299608   .1333954     1.72   0.086    -.0324667    .4923884
             |
       _cons |  -.1064655   .1482014    -0.72   0.473    -.3980207    .1850896
------------------------------------------------------------------------------
(810 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,180         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,180      .13955    .3074808          0    3.11986
(810 missing values generated)
(810 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,180
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(17, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7882
                                                    Adj R-squared     = 0.7092
                                                    Root MSE          = 0.2624

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0277394   .0385826     0.72   0.473    -.0481638    .1036426
             |
 scale_group |
          1  |          0  (empty)
          2  |   -.017979   .0886344    -0.20   0.839    -.1923485    .1563905
          3  |          0  (omitted)
          4  |   .0652879     .05731     1.14   0.255    -.0474574    .1780333
          5  |   .1306042   .0690884     1.89   0.060    -.0053126     .266521
          6  |  -.0857984    .141299    -0.61   0.544    -.3637745    .1921778
          7  |   .0700414   .0499635     1.40   0.162    -.0282513     .168334
          8  |   .1034882   .0499635     2.07   0.039     .0051955    .2017808
          9  |   .1414747   .0931561     1.52   0.130    -.0417902    .3247397
         10  |          0  (omitted)
         11  |   .0143372    .053211     0.27   0.788    -.0903444    .1190187
         12  |   .0348848   .0763932     0.46   0.648    -.1154028    .1851724
             |
  year_group |
          5  |  -.1492373          .        .       .            .           .
          6  |   .3527697   .3595757     0.98   0.327    -.3546199    1.060159
          7  |  -.2526224   .2075302    -1.22   0.224    -.6608946    .1556497
          8  |  -.1380827   .1863167    -0.74   0.459    -.5046217    .2284563
          9  |  -.1411085     .18067    -0.78   0.435    -.4965388    .2143218
         10  |  -.1923573    .185487    -1.04   0.300    -.5572642    .1725495
         11  |  -.2898861   .1872873    -1.55   0.123    -.6583346    .0785625
         12  |   -.307445   .1891949    -1.63   0.105    -.6796463    .0647563
         13  |  -.2673733   .1899499    -1.41   0.160    -.6410598    .1063132
             |
       _cons |   .4234244   .1878567     2.25   0.025     .0538557    .7929931
------------------------------------------------------------------------------
(810 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,180         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,180    .2731604    .4813454          0   3.588078
(810 missing values generated)
(810 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,180
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9782
                                                    Adj R-squared     = 0.9701
                                                    Root MSE          = 0.0880

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0016979   .0132493     0.13   0.898    -.0243673    .0277631
             |
 scale_group |
          1  |          0  (empty)
          2  |   .0290398    .031405     0.92   0.356     -.032743    .0908226
          3  |          0  (omitted)
          4  |   .0897933   .0545713     1.65   0.101    -.0175643    .1971508
          5  |   .0690557   .0553144     1.25   0.213    -.0397638    .1778752
          6  |   .0259447   .0696144     0.37   0.710     -.111007    .1628965
          7  |    .042678   .0392517     1.09   0.278    -.0345415    .1198975
          8  |    .049777   .0392517     1.27   0.206    -.0274425    .1269965
          9  |   .1067208   .0624762     1.71   0.089    -.0161881    .2296297
         10  |          0  (omitted)
         11  |   .1151213   .0684718     1.68   0.094    -.0195827    .2498252
         12  |   .0361817   .0303676     1.19   0.234    -.0235601    .0959235
             |
  year_group |
          5  |  -.1910865   .0024283   -78.69   0.000    -.1958637   -.1863093
          6  |  -.0366399   .0864472    -0.42   0.672    -.2067067    .1334269
          7  |  -.0649536   .0740362    -0.88   0.381    -.2106042     .080697
          8  |  -.0574348   .0703478    -0.82   0.415    -.1958293    .0809596
          9  |  -.0401589   .0722959    -0.56   0.579    -.1823858    .1020681
         10  |  -.0722654   .0724998    -1.00   0.320    -.2148935    .0703626
         11  |  -.0708479   .0745059    -0.95   0.342    -.2174227    .0757268
         12  |  -.0682595   .0743617    -0.92   0.359    -.2145506    .0780316
         13  |  -.0685375   .0754863    -0.91   0.365    -.2170409     .079966
             |
       _cons |   .3234498    .083384     3.88   0.000     .1594092    .4874904
------------------------------------------------------------------------------
(810 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,180         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,180    .3190794    .5020271          0   3.120687
(810 missing values generated)
(810 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,180
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9447
                                                    Adj R-squared     = 0.9241
                                                    Root MSE          = 0.1372

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0140878   .0270581    -0.52   0.603    -.0673189    .0391434
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1518356   .1412912     1.07   0.283    -.1261253    .4297965
          3  |          0  (omitted)
          4  |   .0240568   .0171772     1.40   0.162    -.0097356    .0578493
          5  |   .0362478   .0261387     1.39   0.166    -.0151747    .0876702
          6  |    .040669   .0258804     1.57   0.117    -.0102452    .0915832
          7  |   .0067122   .0259604     0.26   0.796    -.0443595    .0577838
          8  |   .0067122   .0259604     0.26   0.796    -.0443595    .0577838
          9  |   .0740506   .0351004     2.11   0.036     .0049979    .1431032
         10  |          0  (omitted)
         11  |   .0181361   .0310573     0.58   0.560    -.0429627     .079235
         12  |   .1428749   .1202525     1.19   0.236    -.0936965    .3794464
             |
  year_group |
          5  |  -.2673721   1.66e-08 -1.6e+07   0.000    -.2673721    -.267372
          6  |  -.8073405    .162649    -4.96   0.000    -1.127318   -.4873628
          7  |  -.8013499   .1879403    -4.26   0.000    -1.171083   -.4316168
          8  |  -.8058876   .1875288    -4.30   0.000    -1.174811   -.4369641
          9  |  -.7731006   .1885239    -4.10   0.000    -1.143982   -.4022193
         10  |  -.7520064   .1886642    -3.99   0.000    -1.123164   -.3808491
         11  |  -.7274455   .1884675    -3.86   0.000    -1.098216   -.3566753
         12  |  -.7214381   .1882714    -3.83   0.000    -1.091823   -.3510536
         13  |  -.7034299   .1899291    -3.70   0.000    -1.077076   -.3297842
             |
       _cons |   1.007291   .1880842     5.36   0.000     .6372745    1.377307
------------------------------------------------------------------------------
(810 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,180         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,180    .3092866     .497177          0   3.071585
(810 missing values generated)
(810 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,180
Absorbed variable: factor_pair                      No. of categories =    302
                                                    F(18, 325)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8468
                                                    Adj R-squared     = 0.7897
                                                    Root MSE          = 0.2324

                        (Std. err. adjusted for 326 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0332803   .0363308     0.92   0.360    -.0381929    .1047535
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.3073497   .1726598    -1.78   0.076    -.6470216    .0323223
          3  |          0  (omitted)
          4  |   .0377538    .068189     0.55   0.580    -.0963937    .1719014
          5  |   .0177006   .0696576     0.25   0.800    -.1193361    .1547372
          6  |  -.0566492   .1090273    -0.52   0.604    -.2711375     .157839
          7  |  -.0498645   .0590907    -0.84   0.399    -.1661131     .066384
          8  |  -.0575009   .0590907    -0.97   0.331    -.1737495    .0587477
          9  |   .1475247   .0908845     1.62   0.106    -.0312713    .3263208
         10  |          0  (omitted)
         11  |   .0545619   .0652069     0.84   0.403     -.073719    .1828428
         12  |  -.1925563   .1568017    -1.23   0.220    -.5010308    .1159182
             |
  year_group |
          5  |  -.1843643    .009972   -18.49   0.000    -.2039822   -.1647464
          6  |   .0967865   .1464595     0.66   0.509    -.1913417    .3849148
          7  |  -.1541616   .1016044    -1.52   0.130    -.3540469    .0457237
          8  |  -.1352952   .0798841    -1.69   0.091    -.2924505    .0218601
          9  |  -.1953168   .0729026    -2.68   0.008    -.3387374   -.0518962
         10  |  -.1667623   .0815061    -2.05   0.042    -.3271084   -.0064162
         11  |   -.219744   .0815514    -2.69   0.007    -.3801792   -.0593088
         12  |  -.1904488   .0826749    -2.30   0.022    -.3530943   -.0278034
         13  |   -.125216   .0888234    -1.41   0.160    -.2999575    .0495254
             |
       _cons |   .5221285   .1055051     4.95   0.000     .3145693    .7296877
------------------------------------------------------------------------------
(810 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,180         763           0        763        763

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,180    .3295893    .4975281          0   2.625782

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7632
                                                    Adj R-squared     = 0.6814
                                                    Root MSE          = 0.2395

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0148912   .0507395     0.29   0.769    -.0849235     .114706
             |
 scale_group |
          2  |   .1094496   .1108874     0.99   0.324    -.1086882    .3275873
          3  |          0  (omitted)
          4  |   .0824587   .0452612     1.82   0.069    -.0065792    .1714966
          5  |   .0631947    .035082     1.80   0.073    -.0058186     .132208
          6  |   .0711052   .0926879     0.77   0.444    -.1112305    .2534409
          7  |   .1697888   .0763918     2.22   0.027     .0195108    .3200667
          8  |   .1754296   .0763918     2.30   0.022     .0251516    .3257075
          9  |   .0143568    .059288     0.24   0.809    -.1022745    .1309882
         10  |   .0816895    .088078     0.93   0.354    -.0915776    .2549567
         11  |   .1919825   .0730798     2.63   0.009     .0482199     .335745
         12  |   .0010718   .1075298     0.01   0.992    -.2104608    .2126045
             |
  year_group |
          5  |   .0141229          .        .       .            .           .
          6  |  -.1126169   .1069738    -1.05   0.293    -.3230559     .097822
          7  |   .0531954   .0992166     0.54   0.592    -.1419837    .2483744
          8  |  -.0005385   .0703565    -0.01   0.994    -.1389438    .1378668
          9  |    .036345   .0534347     0.68   0.497    -.0687718    .1414619
         10  |    .129018   .0585642     2.20   0.028     .0138106    .2442255
         11  |   .2140659   .0815288     2.63   0.009     .0536825    .3744493
         12  |   .2118483      .0669     3.17   0.002     .0802426     .343454
         13  |   .1766813   .0784579     2.25   0.025     .0223388    .3310239
             |
       _cons |   .0241325   .0763448     0.32   0.752    -.1260532    .1743181
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,294    .2261227    .4192592          0   3.429903
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(19, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8316
                                                    Adj R-squared     = 0.7734
                                                    Root MSE          = 0.2286

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0317757    .054022    -0.59   0.557    -.1380477    .0744964
             |
 scale_group |
          2  |   .1103811   .0724348     1.52   0.129    -.0321127    .2528749
          3  |          0  (omitted)
          4  |   .0998614   .0338336     2.95   0.003      .033304    .1664188
          5  |   .0278497   .0331218     0.84   0.401    -.0373075    .0930069
          6  |   .0132327   .0629762     0.21   0.834    -.1106541    .1371195
          7  |   .0624303   .0486869     1.28   0.201    -.0333466    .1582072
          8  |   .0624303   .0486869     1.28   0.201    -.0333466    .1582072
          9  |   .0457104   .0359182     1.27   0.204    -.0249479    .1163686
         10  |   .0747237   .0528894     1.41   0.159    -.0293203    .1787677
         11  |   .0346612   .0436932     0.79   0.428    -.0512921    .1206145
         12  |   .0732928    .064847     1.13   0.259    -.0542742    .2008598
             |
  year_group |
          5  |  -.4023016   1.38e-07 -2.9e+06   0.000    -.4023019   -.4023013
          6  |  -.3197369   .1513472    -2.11   0.035    -.6174673   -.0220066
          7  |  -.3287923   .1236192    -2.66   0.008    -.5719761   -.0856085
          8  |  -.2319451   .1208413    -1.92   0.056    -.4696641    .0057739
          9  |  -.2626905   .1191122    -2.21   0.028    -.4970081   -.0283728
         10  |  -.1606363   .1181438    -1.36   0.175    -.3930489    .0717764
         11  |  -.1303806   .1243508    -1.05   0.295    -.3750036    .1142424
         12  |  -.1892554   .1224229    -1.55   0.123    -.4300859     .051575
         13  |  -.1359863   .1383494    -0.98   0.326    -.4081474    .1361748
             |
       _cons |   .4348938   .1249212     3.48   0.001     .1891488    .6806388
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,294    .2734311    .4745196          0   4.023808
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7518
                                                    Adj R-squared     = 0.6661
                                                    Root MSE          = 0.2199

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0239387   .0373302    -0.64   0.522    -.0973747    .0494972
             |
 scale_group |
          2  |   .1507223   .1129019     1.33   0.183    -.0713784     .372823
          3  |          0  (omitted)
          4  |   .1526175   .0452707     3.37   0.001     .0635609    .2416741
          5  |   .1135972   .0336626     3.37   0.001     .0473761    .1798183
          6  |   .1138618   .0534934     2.13   0.034     .0086295    .2190941
          7  |   .0596379   .0485035     1.23   0.220    -.0357782    .1550539
          8  |   .0596379   .0485035     1.23   0.220    -.0357782    .1550539
          9  |   .1486975    .059607     2.49   0.013     .0314386    .2659563
         10  |   .2595191   .0782636     3.32   0.001     .1055589    .4134793
         11  |   .1352732   .0524384     2.58   0.010     .0321164      .23843
         12  |   .1197579   .1036608     1.16   0.249    -.0841637    .3236796
             |
  year_group |
          5  |   .1031297          .        .       .            .           .
          6  |  -.0677598    .100018    -0.68   0.499    -.2645153    .1289956
          7  |  -.0906923   .0926971    -0.98   0.329    -.2730461    .0916614
          8  |   -.111244   .0854424    -1.30   0.194    -.2793263    .0568383
          9  |  -.1748842   .0768207    -2.28   0.023    -.3260059   -.0237626
         10  |  -.1332646   .0769414    -1.73   0.084    -.2846237    .0180946
         11  |  -.1428565   .0805048    -1.77   0.077    -.3012257    .0155126
         12  |  -.1143097   .0862227    -1.33   0.186     -.283927    .0553076
         13  |  -.1190221   .0823186    -1.45   0.149    -.2809592    .0429151
             |
       _cons |   .2585648   .0876559     2.95   0.003     .0861281    .4310014
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,294    .2674115    .4104478          0   2.855522
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(19, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5671
                                                    Adj R-squared     = 0.4175
                                                    Root MSE          = 0.2147

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0250973   .0318659     0.79   0.432    -.0375893    .0877838
             |
 scale_group |
          2  |   .1247237   .0594979     2.10   0.037     .0076793     .241768
          3  |          0  (omitted)
          4  |   .0286536   .0439944     0.65   0.515    -.0578921    .1151994
          5  |   .0140769   .0220472     0.64   0.524    -.0292945    .0574482
          6  |   .0439323   .0450108     0.98   0.330     -.044613    .1324776
          7  |  -.0459885   .0450367    -1.02   0.308    -.1345847    .0426077
          8  |  -.0459885   .0450367    -1.02   0.308    -.1345847    .0426077
          9  |  -.0804749   .0441334    -1.82   0.069    -.1672942    .0063444
         10  |  -.0600794     .05188    -1.16   0.248    -.1621378     .041979
         11  |    .086497   .0482385     1.79   0.074    -.0083978    .1813917
         12  |   .1109361   .0573981     1.93   0.054    -.0019774    .2238495
             |
  year_group |
          5  |   .0672143   7.76e-08  8.7e+05   0.000     .0672141    .0672144
          6  |   .2489377   .0818896     3.04   0.003     .0878445    .4100309
          7  |    .177649   .0967086     1.84   0.067    -.0125962    .3678942
          8  |   .0921435   .0725756     1.27   0.205    -.0506273    .2349143
          9  |   .0808113   .0664161     1.22   0.225    -.0498424     .211465
         10  |   .0705289   .0677855     1.04   0.299    -.0628188    .2038766
         11  |   .1058978    .069882     1.52   0.131    -.0315741    .2433697
         12  |   .0805816   .0696853     1.16   0.248    -.0565033    .2176666
         13  |   .0755451    .071301     1.06   0.290    -.0647182    .2158084
             |
       _cons |  -.0193361   .0765997    -0.25   0.801     -.170023    .1313508
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,294    .1270456    .2788795          0   2.621552
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7516
                                                    Adj R-squared     = 0.6658
                                                    Root MSE          = 0.2836

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .034634    .052266     0.66   0.508    -.0681837    .1374517
             |
 scale_group |
          2  |  -.3019057    .135749    -2.22   0.027    -.5689511   -.0348603
          3  |          0  (omitted)
          4  |  -.0567111   .0500031    -1.13   0.258    -.1550772    .0416549
          5  |   .0224199    .033573     0.67   0.505    -.0436249    .0884648
          6  |   -.134657   .0734496    -1.83   0.068    -.2791471    .0098332
          7  |  -.0554727   .0577994    -0.96   0.338    -.1691756    .0582303
          8  |  -.0231453   .0577994    -0.40   0.689    -.1368482    .0905577
          9  |  -.0588788   .0788953    -0.75   0.456    -.2140817    .0963242
         10  |  -.1651285   .0703524    -2.35   0.020    -.3035257   -.0267312
         11  |  -.1312538   .0673039    -1.95   0.052     -.263654    .0011464
         12  |  -.1945114   .1279058    -1.52   0.129    -.4461279     .057105
             |
  year_group |
          5  |   .0916588          .        .       .            .           .
          6  |   .4809427    .201597     2.39   0.018      .084361    .8775245
          7  |  -.0807701   .1065768    -0.76   0.449    -.2904281    .1288878
          8  |   .0253562   .0923391     0.27   0.784    -.1562934    .2070058
          9  |   .0065602    .082765     0.08   0.937    -.1562551    .1693756
         10  |  -.0288965   .0890786    -0.32   0.746     -.204132     .146339
         11  |  -.1784215   .0935618    -1.91   0.057    -.3624764    .0056333
         12  |  -.1423759   .0950631    -1.50   0.135    -.3293842    .0446324
         13  |  -.1318897   .0960867    -1.37   0.171    -.3209114     .057132
             |
       _cons |   .4275332   .1008211     4.24   0.000     .2291979    .6258684
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,294    .2772062    .4893242          0   4.130636
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(18, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9708
                                                    Adj R-squared     = 0.9608
                                                    Root MSE          = 0.0991

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.007034   .0206647    -0.34   0.734    -.0476856    .0336177
             |
 scale_group |
          2  |  -.0235612   .0223221    -1.06   0.292    -.0674734    .0203509
          3  |          0  (omitted)
          4  |  -.0096876   .0142449    -0.68   0.497    -.0377102    .0183351
          5  |  -.0143777   .0109823    -1.31   0.191    -.0359822    .0072268
          6  |   .0487461   .0554216     0.88   0.380    -.0602793    .1577715
          7  |  -.0715209   .0303868    -2.35   0.019    -.1312978   -.0117439
          8  |  -.0643573   .0303868    -2.12   0.035    -.1241343   -.0045803
          9  |   .0176177   .0231225     0.76   0.447    -.0278689    .0631042
         10  |  -.1065259   .0597989    -1.78   0.076    -.2241623    .0111104
         11  |   .0210782   .0304811     0.69   0.490    -.0388842    .0810406
         12  |    .009828   .0170865     0.58   0.566    -.0237847    .0434406
             |
  year_group |
          5  |    -.10732          .        .       .            .           .
          6  |  -.0083047   .0705665    -0.12   0.906    -.1471232    .1305137
          7  |  -.0451525   .0481411    -0.94   0.349    -.1398558    .0495508
          8  |  -.0499991   .0453271    -1.10   0.271    -.1391667    .0391685
          9  |  -.0398206    .043362    -0.92   0.359    -.1251224    .0454812
         10  |  -.0652392   .0435726    -1.50   0.135    -.1509553    .0204769
         11  |   -.045883   .0502557    -0.91   0.362    -.1447461    .0529801
         12  |  -.0478181    .047715    -1.00   0.317     -.141683    .0460468
         13  |  -.0517957   .0511368    -1.01   0.312    -.1523921    .0488008
             |
       _cons |   .3897321   .0475712     8.19   0.000     .2961501    .4833142
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,294    .3058685    .4845487          0   3.102735
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(19, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9428
                                                    Adj R-squared     = 0.9230
                                                    Root MSE          = 0.1361

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0137186   .0320525    -0.43   0.669    -.0767723    .0493351
             |
 scale_group |
          2  |  -.1988517    .073755    -2.70   0.007    -.3439426   -.0537608
          3  |          0  (omitted)
          4  |   .0206519   .0227025     0.91   0.364    -.0240085    .0653123
          5  |   .0194359   .0174469     1.11   0.266    -.0148856    .0537574
          6  |   .0319534   .0385879     0.83   0.408    -.0439568    .1078636
          7  |    .044739   .0347957     1.29   0.199    -.0237112    .1131891
          8  |    .044739   .0347957     1.29   0.199    -.0237111    .1131891
          9  |   .0079526   .0366357     0.22   0.828    -.0641173    .0800224
         10  |  -.0319606   .0410185    -0.78   0.436    -.1126522     .048731
         11  |    .044001    .042958     1.02   0.306    -.0405059     .128508
         12  |  -.2260942    .047595    -4.75   0.000    -.3197231   -.1324652
             |
  year_group |
          5  |  -.2520634   9.91e-08 -2.5e+06   0.000    -.2520636   -.2520632
          6  |  -.6710619   .1197061    -5.61   0.000    -.9065478    -.435576
          7  |  -.7711033   .1165043    -6.62   0.000    -1.000291    -.541916
          8  |  -.7682839   .1114932    -6.89   0.000    -.9876134   -.5489543
          9  |   -.754778   .1101638    -6.85   0.000    -.9714922   -.5380637
         10  |  -.7576403   .1094866    -6.92   0.000    -.9730225   -.5422581
         11  |  -.6833866   .1125134    -6.07   0.000     -.904723   -.4620503
         12  |   -.681965   .1114295    -6.12   0.000    -.9011691   -.4627608
         13  |  -.6904857   .1118132    -6.18   0.000    -.9104446   -.4705268
             |
       _cons |   1.083047   .1126054     9.62   0.000       .86153    1.304565
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,294    .2932411    .4787138          0   3.431592
(696 missing values generated)
(696 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,294
Absorbed variable: factor_pair                      No. of categories =    313
                                                    F(19, 329)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8962
                                                    Adj R-squared     = 0.8603
                                                    Root MSE          = 0.1885

                        (Std. err. adjusted for 330 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0627407   .0325519     1.93   0.055    -.0012953    .1267768
             |
 scale_group |
          2  |   .0210617   .0475233     0.44   0.658    -.0724261    .1145495
          3  |          0  (omitted)
          4  |   .0280879   .0373512     0.75   0.453    -.0453893    .1015651
          5  |   .0670508   .0238964     2.81   0.005     .0200418    .1140599
          6  |   .0721083   .0511436     1.41   0.160    -.0285014    .1727179
          7  |   .0055135   .0386467     0.14   0.887    -.0705124    .0815394
          8  |  -.0011847   .0386467    -0.03   0.976    -.0772106    .0748412
          9  |   .0504868   .0567021     0.89   0.374    -.0610577    .1620313
         10  |  -.0846457   .0547577    -1.55   0.123     -.192365    .0230737
         11  |   .0472276    .050318     0.94   0.349     -.051758    .1462132
         12  |   .0857663   .0404712     2.12   0.035     .0061514    .1653812
             |
  year_group |
          5  |  -.0394297   5.25e-08 -7.5e+05   0.000    -.0394298   -.0394296
          6  |   .2043362   .0756387     2.70   0.007     .0555397    .3531326
          7  |  -.0557853   .0655225    -0.85   0.395    -.1846813    .0731106
          8  |  -.0419662   .0457419    -0.92   0.360    -.1319496    .0480173
          9  |  -.0537992   .0267212    -2.01   0.045    -.1063653   -.0012332
         10  |  -.0309955   .0340355    -0.91   0.363      -.09795    .0359591
         11  |  -.0709946   .0373821    -1.90   0.058    -.1445326    .0025434
         12  |  -.0716723   .0401398    -1.79   0.075    -.1506354    .0072907
         13  |  -.0463575   .0417265    -1.11   0.267    -.1284419    .0357268
             |
       _cons |   .3020284   .0454018     6.65   0.000     .2127138    .3913429
------------------------------------------------------------------------------
(696 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,294         786           0        786        786

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,294     .320444    .4992271          0   2.359841

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(608 missing values generated)
(608 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,382
Absorbed variable: factor_pair                      No. of categories =    336
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7924
                                                    Adj R-squared     = 0.7211
                                                    Root MSE          = 0.2208

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0355735   .0522599     0.68   0.497    -.0672345    .1383815
             |
 scale_group |
          2  |   -.007691   .1025812    -0.07   0.940    -.2094934    .1941114
          3  |          0  (omitted)
          4  |   -.108763   .0661286    -1.64   0.101    -.2388541    .0213281
          5  |  -.1896405   .0737535    -2.57   0.011    -.3347318   -.0445493
          6  |  -.1654699   .0931497    -1.78   0.077    -.3487182    .0177783
          7  |  -.0070516          .        .       .            .           .
          8  |          0  (omitted)
          9  |   -.159231   .0767785    -2.07   0.039    -.3102731   -.0081889
         10  |   .0558277   .0838162     0.67   0.506    -.1090594    .2207147
         11  |  -.0664754   .0677186    -0.98   0.327    -.1996946    .0667438
         12  |   .0355938   .0953087     0.37   0.709    -.1519017    .2230894
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1390642   .1045154    -1.33   0.184    -.3446717    .0665432
          7  |    -.00093   .0871961    -0.01   0.991    -.1724661     .170606
          8  |  -.0335567    .063424    -0.53   0.597    -.1583273    .0912139
          9  |   .0395345    .053046     0.75   0.457      -.06482    .1438891
         10  |   .0880365    .057411     1.53   0.126     -.024905     .200978
         11  |   .1544857   .0735676     2.10   0.037     .0097602    .2992112
         12  |   .1289987   .0691002     1.87   0.063    -.0069384    .2649358
         13  |   .1504809   .0760407     1.98   0.049     .0008901    .3000717
             |
       _cons |   .2025699   .0805258     2.52   0.012      .044156    .3609838
------------------------------------------------------------------------------
(608 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,382         801           0        801        801

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,382    .2330851    .4307758          0   2.739394
(608 missing values generated)
(608 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,382
Absorbed variable: factor_pair                      No. of categories =    336
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8221
                                                    Adj R-squared     = 0.7611
                                                    Root MSE          = 0.2177

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0195149    .056918     0.34   0.732    -.0924568    .1314866
             |
 scale_group |
          2  |   .0948629   .0559058     1.70   0.091    -.0151177    .2048434
          3  |          0  (omitted)
          4  |  -.0421546   .0345769    -1.22   0.224     -.110176    .0258667
          5  |  -.0636899    .034308    -1.86   0.064    -.1311821    .0038022
          6  |  -.0845726   .0667921    -1.27   0.206     -.215969    .0468237
          7  |   4.23e-16          .        .       .            .           .
          8  |          0  (omitted)
          9  |  -.0918703    .042408    -2.17   0.031    -.1752972   -.0084435
         10  |  -.0286149   .0462424    -0.62   0.536     -.119585    .0623552
         11  |   -.092789   .0453001    -2.05   0.041    -.1819055   -.0036725
         12  |   .1134377   .0507891     2.23   0.026      .013523    .2133524
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2184476   .1176695    -1.86   0.064    -.4499324    .0130373
          7  |  -.2292147   .0833395    -2.75   0.006    -.3931639   -.0652656
          8  |  -.1974311   .0799637    -2.47   0.014    -.3547392   -.0401229
          9  |  -.1982594   .0778314    -2.55   0.011    -.3513729    -.045146
         10  |  -.1117155   .0772889    -1.45   0.149    -.2637617    .0403307
         11  |  -.0115634   .0877852    -0.13   0.895    -.1842585    .1611317
         12  |  -.1056354   .0845681    -1.25   0.213    -.2720016    .0607307
         13  |   .0189033   .1103127     0.17   0.864    -.1981089    .2359155
             |
       _cons |   .3552819    .083616     4.25   0.000     .1907887    .5197751
------------------------------------------------------------------------------
(608 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,382         801           0        801        801

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,382    .2401609    .4385727          0   3.078607
(608 missing values generated)
(608 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,382
Absorbed variable: factor_pair                      No. of categories =    336
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7831
                                                    Adj R-squared     = 0.7086
                                                    Root MSE          = 0.1997

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0185342   .0339716    -0.55   0.586    -.0853647    .0482963
             |
 scale_group |
          2  |  -.0274963   .0941122    -0.29   0.770     -.212638    .1576454
          3  |          0  (omitted)
          4  |   .0963797   .0287585     3.35   0.001     .0398047    .1529548
          5  |   .0485653   .0318972     1.52   0.129    -.0141843     .111315
          6  |   .0152554   .0515639     0.30   0.768    -.0861835    .1166943
          7  |  -9.20e-16          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0794232   .0459145     1.73   0.085     -.010902    .1697483
         10  |   .1388697   .0445365     3.12   0.002     .0512555     .226484
         11  |   .1125123   .0340463     3.30   0.001      .045535    .1794897
         12  |  -.0472003   .0771216    -0.61   0.541    -.1989173    .1045168
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2460367   .1324231    -1.86   0.064    -.5065454    .0144721
          7  |  -.2343195    .093569    -2.50   0.013    -.4183928   -.0502463
          8  |   -.221161   .0945322    -2.34   0.020    -.4071291    -.035193
          9  |  -.2604865   .0882938    -2.95   0.003    -.4341821    -.086791
         10  |  -.2483043   .0879789    -2.82   0.005    -.4213803   -.0752283
         11  |  -.2920429   .0900251    -3.24   0.001    -.4691444   -.1149414
         12  |  -.2539893   .0922103    -2.75   0.006    -.4353896   -.0725891
         13  |  -.2843481   .0909183    -3.13   0.002    -.4632067   -.1054896
             |
       _cons |   .4547058   .0912718     4.98   0.000     .2751518    .6342597
------------------------------------------------------------------------------
(608 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,382         801           0        801        801

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,382    .2493839    .4007096          0   2.973155
(608 missing values generated)
(608 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,382
Absorbed variable: factor_pair                      No. of categories =    336
                                                    F(18, 327)        =   1.59
                                                    Prob > F          = 0.0606
                                                    R-squared         = 0.6571
                                                    Adj R-squared     = 0.5393
                                                    Root MSE          = 0.1833

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0366474   .0384264     0.95   0.341    -.0389467    .1122416
             |
 scale_group |
          2  |   .0908298   .0517338     1.76   0.080    -.0109433    .1926028
          3  |          0  (omitted)
          4  |   .2325714   .0697699     3.33   0.001     .0953169     .369826
          5  |    .231723   .0705594     3.28   0.001     .0929153    .3705307
          6  |   .2540412   .0842225     3.02   0.003     .0883549    .4197274
          7  |          0  (omitted)
          8  |   5.93e-16   6.24e-09     0.00   1.000    -1.23e-08    1.23e-08
          9  |   .1559632   .0730657     2.13   0.034      .012225    .2997014
         10  |   .0749765   .0714582     1.05   0.295    -.0655992    .2155522
         11  |   .2810515    .076377     3.68   0.000     .1307992    .4313038
         12  |   .0742103   .0346609     2.14   0.033     .0060237    .1423968
             |
  year_group |
          5  |          0  (empty)
          6  |   .1218443   .0953761     1.28   0.202    -.0657838    .3094725
          7  |   .0954522   .1059144     0.90   0.368    -.1129074    .3038118
          8  |   .0403013   .1051271     0.38   0.702    -.1665094    .2471121
          9  |   .0219512   .1039631     0.21   0.833    -.1825697    .2264721
         10  |   .0367601   .1067697     0.34   0.731    -.1732821    .2468022
         11  |   .0513582   .1064144     0.48   0.630     -.157985    .2607014
         12  |   .0468326   .1059568     0.44   0.659    -.1616104    .2552757
         13  |   .0384875   .1080023     0.36   0.722    -.1739794    .2509545
             |
       _cons |  -.1212345   .1158283    -1.05   0.296    -.3490972    .1066282
------------------------------------------------------------------------------
(608 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,382         801           0        801        801

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,382    .1261443    .2824256          0   2.519976
(608 missing values generated)
(608 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,382
Absorbed variable: factor_pair                      No. of categories =    336
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7779
                                                    Adj R-squared     = 0.7016
                                                    Root MSE          = 0.2583

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .047091   .0438327     1.07   0.283    -.0391387    .1333208
             |
 scale_group |
          2  |  -.0983833   .0796577    -1.24   0.218    -.2550894    .0583229
          3  |          0  (omitted)
          4  |   .1037855   .0733745     1.41   0.158    -.0405601     .248131
          5  |   .1609562   .0848687     1.90   0.059    -.0060014    .3279138
          6  |   .0596355    .079333     0.75   0.453     -.096432     .215703
          7  |   .0815057   .0625288     1.30   0.193    -.0415038    .2045152
          8  |   .1173991   .0625288     1.88   0.061    -.0056104    .2404087
          9  |   .1823852   .0882993     2.07   0.040     .0086788    .3560916
         10  |          0  (omitted)
         11  |   .0706487   .0763853     0.92   0.356      -.07962    .2209174
         12  |   -.028912    .064133    -0.45   0.652    -.1550774    .0972534
             |
  year_group |
          5  |          0  (empty)
          6  |   .4785082   .2970539     1.61   0.108    -.1058696    1.062886
          7  |     .00222    .180309     0.01   0.990    -.3524919    .3569319
          8  |   .1184609   .1589566     0.75   0.457    -.1942458    .4311675
          9  |   .1075265   .1411962     0.76   0.447    -.1702411    .3852941
         10  |   .0576757   .1453601     0.40   0.692    -.2282832    .3436346
         11  |  -.0581021   .1480323    -0.39   0.695    -.3493179    .2331138
         12  |  -.0454731   .1485773    -0.31   0.760     -.337761    .2468148
         13  |  -.0454678   .1489724    -0.31   0.760    -.3385329    .2475974
             |
       _cons |   .1552308   .1542846     1.01   0.315    -.1482848    .4587465
------------------------------------------------------------------------------
(608 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,382         801           0        801        801

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,382    .2725123    .4923677          0   3.518572
(608 missing values generated)
(608 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,382
Absorbed variable: factor_pair                      No. of categories =    336
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9656
                                                    Adj R-squared     = 0.9538
                                                    Root MSE          = 0.1051

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0074481   .0160848     0.46   0.644    -.0241947    .0390909
             |
 scale_group |
          2  |   .0032409   .0212777     0.15   0.879    -.0386175    .0450993
          3  |          0  (omitted)
          4  |    .035696   .0254669     1.40   0.162    -.0144037    .0857957
          5  |  -.0020599   .0287844    -0.07   0.943    -.0586859     .054566
          6  |   .1104849   .0631322     1.75   0.081    -.0137115    .2346813
          7  |  -.0045919          .        .       .            .           .
          8  |          0  (omitted)
          9  |   .0236244   .0356615     0.66   0.508    -.0465304    .0937793
         10  |  -.0353845   .0330157    -1.07   0.285    -.1003346    .0295655
         11  |   .0256489   .0289523     0.89   0.376    -.0313073    .0826051
         12  |   .0091934    .017145     0.54   0.592    -.0245349    .0429218
             |
  year_group |
          5  |          0  (empty)
          6  |   .0643724    .069602     0.92   0.356    -.0725518    .2012966
          7  |  -.0225184   .0422288    -0.53   0.594    -.1055928    .0605559
          8  |  -.0250978    .038688    -0.65   0.517    -.1012066    .0510109
          9  |  -.0220812   .0376502    -0.59   0.558    -.0961482    .0519859
         10  |  -.0492182    .038603    -1.27   0.203    -.1251596    .0267233
         11  |  -.0360861   .0436741    -0.83   0.409    -.1220037    .0498316
         12  |  -.0365955   .0429546    -0.85   0.395    -.1210976    .0479067
         13  |  -.0570132   .0447674    -1.27   0.204    -.1450816    .0310552
             |
       _cons |   .3271835   .0420881     7.77   0.000     .2443859    .4099811
------------------------------------------------------------------------------
(608 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,382         801           0        801        801

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,382    .3051577    .4877754          0    3.23409
(608 missing values generated)
(608 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,382
Absorbed variable: factor_pair                      No. of categories =    336
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9478
                                                    Adj R-squared     = 0.9299
                                                    Root MSE          = 0.1289

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0601634   .0288066    -2.09   0.038     -.116833   -.0034937
             |
 scale_group |
          2  |  -.1526632   .1005731    -1.52   0.130    -.3505151    .0451888
          3  |          0  (omitted)
          4  |   .0422172   .0285498     1.48   0.140    -.0139471    .0983816
          5  |   .0343231   .0291147     1.18   0.239    -.0229527     .091599
          6  |   .0396705   .0363976     1.09   0.277    -.0319325    .1112734
          7  |   .0182482   .0302628     0.60   0.547    -.0412862    .0777826
          8  |   .0182482   .0302628     0.60   0.547    -.0412862    .0777826
          9  |   .0417971   .0357564     1.17   0.243    -.0285446    .1121388
         10  |          0  (omitted)
         11  |   .0452426   .0439005     1.03   0.304    -.0411205    .1316056
         12  |  -.1261443   .0996359    -1.27   0.206    -.3221525     .069864
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3511527   .0914332    -3.84   0.000    -.5310241   -.1712812
          7  |  -.5006361    .073776    -6.79   0.000    -.6457717   -.3555006
          8  |  -.4764193   .0657185    -7.25   0.000    -.6057036    -.347135
          9  |   -.470918    .063674    -7.40   0.000    -.5961803   -.3456557
         10  |  -.4621892   .0647457    -7.14   0.000    -.5895599   -.3348185
         11  |  -.4383452   .0650742    -6.74   0.000    -.5663621   -.3103284
         12  |  -.4378815   .0660001    -6.63   0.000      -.56772   -.3080431
         13  |  -.4650691   .0705782    -6.59   0.000    -.6039137   -.3262245
             |
       _cons |   .8024338   .0746216    10.75   0.000     .6556347    .9492328
------------------------------------------------------------------------------
(608 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,382         801           0        801        801

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,382    .3002377    .4871779          0   3.322732
(608 missing values generated)
(608 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,382
Absorbed variable: factor_pair                      No. of categories =    336
                                                    F(17, 327)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9485
                                                    Adj R-squared     = 0.9308
                                                    Root MSE          = 0.1207

                        (Std. err. adjusted for 328 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0272537   .0209282     1.30   0.194    -.0139172    .0684245
             |
 scale_group |
          2  |  -.0731222    .035785    -2.04   0.042      -.14352   -.0027243
          3  |          0  (omitted)
          4  |   .0342759    .064525     0.53   0.596    -.0926605    .1612124
          5  |   .0554046   .0641035     0.86   0.388    -.0707027    .1815118
          6  |   .0497469   .0689482     0.72   0.471    -.0858912    .1853849
          7  |   .0031947   .0475685     0.07   0.946    -.0903841    .0967735
          8  |  -.0003323   .0475685    -0.01   0.994    -.0939111    .0932465
          9  |   .0619953   .0678413     0.91   0.361    -.0714652    .1954558
         10  |          0  (omitted)
         11  |   .0319664    .066113     0.48   0.629    -.0980941    .1620269
         12  |  -.0074818   .0276423    -0.27   0.787     -.061861    .0468974
             |
  year_group |
          5  |          0  (empty)
          6  |   .0507958   .1165413     0.44   0.663    -.1784696    .2800612
          7  |  -.1576072    .095486    -1.65   0.100    -.3454515    .0302371
          8  |  -.1253141   .0897966    -1.40   0.164    -.3019662    .0513379
          9  |   -.120588   .0860349    -1.40   0.162    -.2898397    .0486638
         10  |  -.1266623   .0873119    -1.45   0.148    -.2984262    .0451016
         11  |  -.1763372   .0883517    -2.00   0.047    -.3501466   -.0025278
         12  |  -.1814998   .0885692    -2.05   0.041    -.3557371   -.0072625
         13  |  -.1861301   .0895102    -2.08   0.038    -.3622186   -.0100416
             |
       _cons |   .3848437   .0989227     3.89   0.000     .1902384    .5794489
------------------------------------------------------------------------------
(608 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,382         801           0        801        801

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,382    .2617426    .4505849          0   2.401709

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(18, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7085
                                                    Adj R-squared     = 0.6026
                                                    Root MSE          = 0.2550

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0304262   .0605869    -0.50   0.616    -.1496196    .0887671
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1165326   .1417768    -0.82   0.412     -.395452    .1623867
          4  |   .1153033   .0366251     3.15   0.002     .0432504    .1873562
          5  |    .037064    .057147     0.65   0.517     -.075362    .1494901
          6  |   .0939334   .0778227     1.21   0.228    -.0591681     .247035
          7  |   .1519092   .0936475     1.62   0.106    -.0323247    .3361431
          8  |    .159872   .0936475     1.71   0.089    -.0243619    .3441059
          9  |   .0072538   .0631544     0.11   0.909    -.1169907    .1314983
         10  |          0  (empty)
         11  |   .1816935   .0609642     2.98   0.003     .0617578    .3016293
         12  |   .0569499    .034915     1.63   0.104    -.0117388    .1256387
             |
  year_group |
          5  |   .0459601   .0062955     7.30   0.000     .0335749    .0583452
          6  |  -.1123768   .1487599    -0.76   0.451     -.405034    .1802804
          7  |   .0056763   .1644642     0.03   0.972    -.3178763    .3292288
          8  |   .0558609   .1524302     0.37   0.714     -.244017    .3557389
          9  |   .0959887   .1456302     0.66   0.510    -.1905113    .3824888
         10  |   .1404597   .1532544     0.92   0.360    -.1610397    .4419591
         11  |   .1981883   .1551759     1.28   0.202    -.1070911    .5034678
         12  |   .2255168   .1537819     1.47   0.143    -.0770203     .528054
         13  |   .2307489   .1540464     1.50   0.135    -.0723087    .5338064
             |
       _cons |  -.0072125   .1516113    -0.05   0.962    -.3054793    .2910543
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,198    .2203162    .4072504          0   2.816345
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(17, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8741
                                                    Adj R-squared     = 0.8284
                                                    Root MSE          = 0.2014

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0546147   .0528327    -1.03   0.302    -.1585532    .0493237
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0177011   .0507637    -0.35   0.728    -.1175692     .082167
          4  |    .133609   .0292888     4.56   0.000     .0759888    .1912292
          5  |   .0759141   .0430528     1.76   0.079    -.0087842    .1606123
          6  |   .1369957    .046405     2.95   0.003     .0457026    .2282889
          7  |   .1477021   .0650407     2.27   0.024     .0197468    .2756575
          8  |   .1477021   .0650407     2.27   0.024     .0197468    .2756575
          9  |   .0965035   .0373313     2.59   0.010     .0230612    .1699458
         10  |          0  (empty)
         11  |   .1529896   .0452469     3.38   0.001     .0639748    .2420045
         12  |    .002347   .0274037     0.09   0.932    -.0515647    .0562586
             |
  year_group |
          5  |  -.4954192          .        .       .            .           .
          6  |  -.4039786   .1976683    -2.04   0.042     -.792854   -.0151032
          7  |  -.3927037   .1605213    -2.45   0.015    -.7084993   -.0769081
          8  |  -.3109009   .1541035    -2.02   0.044    -.6140707   -.0077312
          9  |  -.3138516   .1529496    -2.05   0.041    -.6147513   -.0129518
         10  |  -.2068662   .1500025    -1.38   0.169    -.5019679    .0882356
         11  |  -.1596276   .1566633    -1.02   0.309    -.4678334    .1485782
         12  |  -.2108158   .1556426    -1.35   0.177    -.5170134    .0953818
         13  |  -.2335506   .1552188    -1.50   0.133    -.5389144    .0718133
             |
       _cons |   .4484983   .1571161     2.85   0.005     .1394018    .7575948
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,198    .2766102    .4893205          0   3.314877
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(18, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7821
                                                    Adj R-squared     = 0.7030
                                                    Root MSE          = 0.2426

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0526198   .0552258     0.95   0.341    -.0560266    .1612661
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0434735   .1140687     0.38   0.703    -.1809352    .2678823
          4  |   .0094391     .02694     0.35   0.726    -.0435604    .0624385
          5  |  -.0362883   .0415421    -0.87   0.383    -.1180146     .045438
          6  |  -.1078005   .0570033    -1.89   0.059    -.2199438    .0043427
          7  |  -.0864289   .0644815    -1.34   0.181    -.2132841    .0404263
          8  |  -.0864289   .0644815    -1.34   0.181    -.2132841    .0404263
          9  |  -.0023077   .0650231    -0.04   0.972    -.1302284     .125613
         10  |          0  (empty)
         11  |   .0035879   .0485477     0.07   0.941    -.0919206    .0990964
         12  |   -.024901   .0730577    -0.34   0.733    -.1686283    .1188264
             |
  year_group |
          5  |   .2918392   .1209346     2.41   0.016      .053923    .5297555
          6  |  -.1263006   .2073479    -0.61   0.543    -.5342188    .2816175
          7  |  -.1682492   .1920593    -0.88   0.382      -.54609    .2095915
          8  |  -.1931567   .1825977    -1.06   0.291    -.5523835    .1660701
          9  |   -.247476   .1759313    -1.41   0.160     -.593588     .098636
         10  |  -.2681037   .1753087    -1.53   0.127    -.6129907    .0767832
         11  |  -.2796499   .1777495    -1.57   0.117    -.6293387     .070039
         12  |  -.2331827   .1799238    -1.30   0.196    -.5871491    .1207836
         13  |  -.2344114   .1797013    -1.30   0.193      -.58794    .1191172
             |
       _cons |   .5152288   .1810378     2.85   0.005     .1590708    .8713868
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,198    .3022463     .465444          0    2.53549
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(18, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.4851
                                                    Adj R-squared     = 0.2980
                                                    Root MSE          = 0.2372

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.000619   .0419926    -0.01   0.988    -.0832315    .0819935
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0452439   .1536383    -0.29   0.769    -.3474986    .2570107
          4  |   .0471289   .0397903     1.18   0.237    -.0311511     .125409
          5  |   .0478041   .0472835     1.01   0.313    -.0452174    .1408257
          6  |   .0636775   .0487546     1.31   0.192    -.0322381    .1595931
          7  |  -.0433252   .0589803    -0.73   0.463     -.159358    .0727076
          8  |  -.0433252   .0589803    -0.73   0.463     -.159358    .0727076
          9  |  -.0542833   .0555165    -0.98   0.329    -.1635016    .0549351
         10  |          0  (empty)
         11  |   .0988079   .0533521     1.85   0.065    -.0061523    .2037681
         12  |  -.1271931   .0852237    -1.49   0.137    -.2948547    .0404685
             |
  year_group |
          5  |   .0984666    .069343     1.42   0.157    -.0379528    .2348861
          6  |   .3573191   .1358194     2.63   0.009     .0901199    .6245182
          7  |   .3133255   .1764537     1.78   0.077    -.0338142    .6604652
          8  |   .2162792   .1526264     1.42   0.157    -.0839846    .5165429
          9  |   .1406101   .1474332     0.95   0.341    -.1494372    .4306574
         10  |   .1550603   .1517803     1.02   0.308    -.1435391    .4536597
         11  |   .1337587   .1503293     0.89   0.374    -.1619861    .4295035
         12  |   .1237987   .1503701     0.82   0.411    -.1720263    .4196238
         13  |   .1195926   .1506678     0.79   0.428    -.1768181    .4160033
             |
       _cons |  -.0264112    .153831    -0.17   0.864    -.3290448    .2762224
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,198    .1388822    .2845965          0   2.423621
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(18, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7766
                                                    Adj R-squared     = 0.6954
                                                    Root MSE          = 0.2828

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .078647   .0517478     1.52   0.130    -.0231571    .1804511
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.049912    .088811    -0.56   0.575     -.224631     .124807
          4  |  -.0684552   .0303923    -2.25   0.025    -.1282463    -.008664
          5  |    .021672   .0430414     0.50   0.615     -.063004    .1063479
          6  |  -.1879648   .0730097    -2.57   0.010    -.3315977    -.044332
          7  |  -.0491623   .0666106    -0.74   0.461    -.1802061    .0818814
          8  |  -.0443133   .0666106    -0.67   0.506    -.1753571    .0867305
          9  |  -.0586732   .0761276    -0.77   0.441      -.20844    .0910937
         10  |          0  (empty)
         11  |  -.1163692    .049528    -2.35   0.019    -.2138064   -.0189321
         12  |  -.0786538   .0671283    -1.17   0.242    -.2107162    .0534086
             |
  year_group |
          5  |  -.0249639   .1290173    -0.19   0.847    -.2787813    .2288536
          6  |   .4866606   .3419276     1.42   0.156    -.1860179    1.159339
          7  |  -.0762136   .2583909    -0.29   0.768    -.5845493    .4321221
          8  |   .0263172   .2524615     0.10   0.917    -.4703535    .5229879
          9  |   .1001526   .2377929     0.42   0.674    -.3676604    .5679655
         10  |   .0404753   .2468985     0.16   0.870    -.4452513    .5262019
         11  |  -.1062027   .2464606    -0.43   0.667    -.5910678    .3786624
         12  |  -.1085808   .2474206    -0.44   0.661    -.5953345    .3781729
         13  |  -.1079134   .2484349    -0.43   0.664    -.5966627    .3808358
             |
       _cons |    .329761   .2441387     1.35   0.178    -.1505361    .8100582
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,198    .2755349      .50226          0    4.10114
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(18, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9763
                                                    Adj R-squared     = 0.9677
                                                    Root MSE          = 0.0978

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0102233    .027975     0.37   0.715    -.0448123    .0652589
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0317649   .0198575    -1.60   0.111    -.0708308     .007301
          4  |   .0232489   .0207235     1.12   0.263    -.0175207    .0640186
          5  |  -.0037266   .0249125    -0.15   0.881    -.0527373     .045284
          6  |   .0595754   .0693044     0.86   0.391     -.076768    .1959188
          7  |  -.0209871   .0446877    -0.47   0.639    -.1089018    .0669276
          8  |  -.0120542   .0446877    -0.27   0.788    -.0999689    .0758605
          9  |   .0322907   .0275432     1.17   0.242    -.0218955    .0864768
         10  |          0  (empty)
         11  |   .0110183   .0225963     0.49   0.626    -.0334356    .0554723
         12  |  -.0258448   .0130472    -1.98   0.048    -.0515126   -.0001769
             |
  year_group |
          5  |  -.1743323   .0283771    -6.14   0.000    -.2301589   -.1185058
          6  |  -.0394035   .0823865    -0.48   0.633    -.2014836    .1226766
          7  |  -.0041492   .0732473    -0.06   0.955    -.1482495    .1399512
          8  |  -.0386166   .0668289    -0.58   0.564    -.1700899    .0928568
          9  |  -.0454435   .0660117    -0.69   0.492    -.1753091    .0844221
         10  |  -.0785521   .0654488    -1.20   0.231    -.2073104    .0502062
         11  |  -.0514357    .069467    -0.74   0.460     -.188099    .0852276
         12  |  -.0623733   .0676747    -0.92   0.357    -.1955107     .070764
         13  |  -.0682105   .0684952    -1.00   0.320    -.2029619     .066541
             |
       _cons |   .3939464    .070783     5.57   0.000     .2546942    .5331986
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,198    .3378615    .5368241          0   2.744072
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(18, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9537
                                                    Adj R-squared     = 0.9369
                                                    Root MSE          = 0.1347

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0711534   .0305517    -2.33   0.020    -.1312582   -.0110485
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .018526   .0892482     0.21   0.836    -.1570532    .1941051
          4  |   .0050424    .022665     0.22   0.824    -.0395467    .0496315
          5  |  -.0055808    .023315    -0.24   0.811    -.0514487    .0402871
          6  |  -.0324915   .0372194    -0.87   0.383    -.1057137    .0407307
          7  |  -.0249671   .0369238    -0.68   0.499    -.0976078    .0476736
          8  |  -.0249671   .0369238    -0.68   0.499    -.0976079    .0476736
          9  |  -.0177758    .041096    -0.43   0.666    -.0986244    .0630729
         10  |          0  (empty)
         11  |   -.028121   .0435904    -0.65   0.519     -.113877    .0576351
         12  |  -.0046176   .0400237    -0.12   0.908    -.0833567    .0741215
             |
  year_group |
          5  |  -.2503418   .0262319    -9.54   0.000     -.301948   -.1987355
          6  |   -.724626   .1338596    -5.41   0.000    -.9879696   -.4612823
          7  |  -.8701412   .1273765    -6.83   0.000    -1.120731   -.6195518
          8  |  -.8432284   .1181163    -7.14   0.000      -1.0756   -.6108568
          9  |  -.8288035    .117803    -7.04   0.000    -1.060559   -.5970482
         10  |  -.8307825   .1165445    -7.13   0.000    -1.060062   -.6015031
         11  |  -.8059871   .1171033    -6.88   0.000    -1.036366   -.5756083
         12  |  -.7932785    .117837    -6.73   0.000    -1.025101   -.5614563
         13  |  -.7878375   .1195212    -6.59   0.000    -1.022973   -.5527018
             |
       _cons |   1.177169   .1186132     9.92   0.000     .9438198    1.410519
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,198     .329788     .533812          0   2.795856
(792 missing values generated)
(792 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,198
Absorbed variable: factor_pair                      No. of categories =    301
                                                    F(18, 324)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8241
                                                    Adj R-squared     = 0.7602
                                                    Root MSE          = 0.2667

                        (Std. err. adjusted for 325 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0400331    .052155     0.77   0.443    -.0625722    .1426384
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0086559   .0927026     0.09   0.926    -.1737191    .1910308
          4  |  -.0527391   .0298307    -1.77   0.078    -.1114254    .0059472
          5  |  -.0456316   .0410627    -1.11   0.267    -.1264148    .0351517
          6  |  -.0585933   .0787748    -0.74   0.458     -.213568    .0963814
          7  |  -.0482995   .0602064    -0.80   0.423    -.1667444    .0701453
          8  |  -.0502115   .0602064    -0.83   0.405    -.1686564    .0682334
          9  |   .0047761   .0618994     0.08   0.939    -.1169994    .1265516
         10  |          0  (empty)
         11  |   .0132826   .0622982     0.21   0.831    -.1092773    .1358426
         12  |   .0031172   .0662315     0.05   0.962    -.1271808    .1334152
             |
  year_group |
          5  |  -.1868868   .0307457    -6.08   0.000    -.2473733   -.1264004
          6  |   .2694345   .0998646     2.70   0.007     .0729696    .4658994
          7  |   .0088182   .1052659     0.08   0.933    -.1982727    .2159091
          8  |  -.2038504    .071843    -2.84   0.005    -.3451881   -.0625127
          9  |   -.173672   .0505807    -3.43   0.001      -.27318    -.074164
         10  |  -.1874159   .0581082    -3.23   0.001    -.3017328    -.073099
         11  |  -.2099644   .0605952    -3.47   0.001    -.3291741   -.0907546
         12  |  -.1758329   .0618556    -2.84   0.005    -.2975221   -.0541436
         13  |  -.2235946   .0647014    -3.46   0.001    -.3508825   -.0963067
             |
       _cons |   .5445813   .0705695     7.72   0.000      .405749    .6834136
------------------------------------------------------------------------------
(792 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,198         764           0        764        764

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,198    .3506302    .5335994          0   2.976358

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7583
                                                    Adj R-squared     = 0.6634
                                                    Root MSE          = 0.2575

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0684002   .0654921     1.04   0.297    -.0604684    .1972688
             |
 scale_group |
          2  |   .0646113   .0994965     0.65   0.517    -.1311675    .2603901
          3  |          0  (omitted)
          4  |   .0815639   .0441616     1.85   0.066    -.0053326    .1684604
          5  |   .0254906   .0534671     0.48   0.634    -.0797164    .1306975
          6  |   .1105279   .0588607     1.88   0.061    -.0052921     .226348
          7  |   .1192047   .0774429     1.54   0.125    -.0331793    .2715887
          8  |   .1282821   .0774429     1.66   0.099    -.0241019    .2806661
          9  |   .0156557   .0673939     0.23   0.816    -.1169549    .1482664
         10  |          0  (empty)
         11  |   .1422879   .0587973     2.42   0.016     .0265927    .2579832
         12  |   .0902292   .1049435     0.86   0.391    -.1162677    .2967262
             |
  year_group |
          5  |   .0659854          .        .       .            .           .
          6  |  -.1950506   .1038931    -1.88   0.061    -.3994806    .0093793
          7  |  -.0829349   .1066147    -0.78   0.437    -.2927202    .1268504
          8  |  -.2006345   .0716904    -2.80   0.005    -.3416994   -.0595696
          9  |  -.1082255   .0572072    -1.89   0.059    -.2207918    .0043408
         10  |  -.0513394   .0774784    -0.66   0.508    -.2037933    .1011145
         11  |   .0375985   .1020431     0.37   0.713    -.1631913    .2383884
         12  |   .0124079   .0940416     0.13   0.895    -.1726375    .1974532
         13  |  -.0128875   .0935743    -0.14   0.891    -.1970133    .1712384
             |
       _cons |   .1844772   .0906199     2.04   0.043     .0061649    .3627896
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,172    .2453835     .451636          0   3.438169
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8205
                                                    Adj R-squared     = 0.7501
                                                    Root MSE          = 0.2534

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0427549   .0634052     0.67   0.501    -.0820074    .1675171
             |
 scale_group |
          2  |   .0180338    .068207     0.26   0.792    -.1161768    .1522444
          3  |          0  (omitted)
          4  |   .0648404    .037817     1.71   0.087    -.0095721    .1392528
          5  |    .066968   .0512286     1.31   0.192    -.0338344    .1677703
          6  |  -.0443615   .0725127    -0.61   0.541    -.1870444    .0983214
          7  |   .0813624   .0656615     1.24   0.216    -.0478396    .2105643
          8  |   .0813624   .0656615     1.24   0.216    -.0478396    .2105643
          9  |   .0715346   .0479747     1.49   0.137    -.0228649    .1659342
         10  |          0  (empty)
         11  |   -.005993   .0568224    -0.11   0.916    -.1178022    .1058162
         12  |   .0849084   .0724703     1.17   0.242    -.0576912    .2275079
             |
  year_group |
          5  |   -.373024          .        .       .            .           .
          6  |  -.2393762   .1607752    -1.49   0.138     -.555733    .0769806
          7  |  -.3579295   .1386758    -2.58   0.010    -.6308013   -.0850577
          8  |    -.28674   .1339941    -2.14   0.033    -.5503998   -.0230803
          9  |   -.253336   .1312411    -1.93   0.054    -.5115785    .0049066
         10  |  -.1713616    .133686    -1.28   0.201     -.434415    .0916917
         11  |  -.1273155   .1430671    -0.89   0.374     -.408828    .1541969
         12  |  -.1746738   .1410708    -1.24   0.217    -.4522584    .1029107
         13  |  -.0306433   .1535687    -0.20   0.842    -.3328199    .2715333
             |
       _cons |   .3953156   .1427853     2.77   0.006     .1143575    .6762737
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,172    .2736923    .4852649          0   3.877391
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7984
                                                    Adj R-squared     = 0.7193
                                                    Root MSE          = 0.2121

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0387409   .0492887     0.79   0.432    -.0582442     .135726
             |
 scale_group |
          2  |   -.029378   .0993159    -0.30   0.768    -.2248015    .1660456
          3  |          0  (omitted)
          4  |   .1270239   .1145947     1.11   0.269    -.0984636    .3525114
          5  |   .0748884   .1181323     0.63   0.527      -.15756    .3073368
          6  |   .0654472   .1209422     0.54   0.589    -.1725302    .3034246
          7  |   .0077516    .123294     0.06   0.950    -.2348534    .2503567
          8  |   .0077516    .123294     0.06   0.950    -.2348534    .2503567
          9  |   .1461855   .1232149     1.19   0.236    -.0962641    .3886351
         10  |          0  (empty)
         11  |   .1605871   .1193519     1.35   0.179    -.0742612    .3954354
         12  |  -.1050284   .0792931    -1.32   0.186    -.2610531    .0509963
             |
  year_group |
          5  |   .2139525          .        .       .            .           .
          6  |   -.008464   .0946244    -0.09   0.929     -.194656    .1777281
          7  |   -.023991    .099029    -0.24   0.809      -.21885     .170868
          8  |   .0156722   .0978641     0.16   0.873    -.1768947    .2082391
          9  |  -.0393724   .0758789    -0.52   0.604    -.1886791    .1099342
         10  |  -.0030526   .0872967    -0.03   0.972    -.1748259    .1687207
         11  |  -.0300324    .088209    -0.34   0.734    -.2036008    .1435361
         12  |   .0139261   .0890852     0.16   0.876    -.1613665    .1892187
         13  |  -.0017288   .0866442    -0.02   0.984    -.1722181    .1687606
             |
       _cons |   .1876494    .121394     1.55   0.123    -.0512171    .4265158
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,172    .2596101    .4105295          0   2.895082
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5940
                                                    Adj R-squared     = 0.4347
                                                    Root MSE          = 0.2474

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0116746   .0417089    -0.28   0.780    -.0937451    .0703959
             |
 scale_group |
          2  |   -.000577    .224269    -0.00   0.998    -.4418702    .4407161
          3  |          0  (omitted)
          4  |   .0945675   .0259551     3.64   0.000     .0434957    .1456393
          5  |    .075702   .0421171     1.80   0.073    -.0071715    .1585756
          6  |   .1539965   .0488785     3.15   0.002     .0578185    .2501745
          7  |  -.0449182   .0669879    -0.67   0.503      -.17673    .0868937
          8  |  -.0449182   .0669879    -0.67   0.503      -.17673    .0868937
          9  |  -.0485838   .0500406    -0.97   0.332    -.1470485    .0498809
         10  |          0  (empty)
         11  |   .1044302   .0496113     2.10   0.036     .0068103    .2020502
         12  |  -.0981777   .1951942    -0.50   0.615    -.4822605    .2859052
             |
  year_group |
          5  |   .1222153          .        .       .            .           .
          6  |   .3940988   .0510043     7.73   0.000     .2937379    .4944597
          7  |   .4313437   .1131134     3.81   0.000     .2087708    .6539165
          8  |   .2852224   .0563074     5.07   0.000     .1744266    .3960183
          9  |   .2273755   .0370936     6.13   0.000     .1543865    .3003645
         10  |   .2557076   .0500618     5.11   0.000     .1572012     .354214
         11  |   .3043597   .0564314     5.39   0.000     .1933199    .4153994
         12  |   .2746274   .0537393     5.11   0.000     .1688849      .38037
         13  |   .2519577   .0534426     4.71   0.000      .146799    .3571164
             |
       _cons |  -.1571072    .089576    -1.75   0.080    -.3333655    .0191511
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,172    .1569608    .3369977          0   2.913544
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7933
                                                    Adj R-squared     = 0.7121
                                                    Root MSE          = 0.2686

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0001545   .0521253     0.00   0.998    -.1024121    .1027212
             |
 scale_group |
          2  |  -.1481285   .0982966    -1.51   0.133    -.3415463    .0452892
          3  |          0  (omitted)
          4  |   -.042773   .0403187    -1.06   0.290    -.1221079    .0365618
          5  |  -.0002839   .0497312    -0.01   0.995    -.0981399     .097572
          6  |  -.1482156   .0769761    -1.93   0.055    -.2996813      .00325
          7  |  -.0424322    .086048    -0.49   0.622    -.2117485    .1268842
          8  |  -.0301561    .086048    -0.35   0.726    -.1994724    .1391603
          9  |  -.0142125   .1149776    -0.12   0.902    -.2404533    .2120284
         10  |          0  (empty)
         11  |   -.137743     .06183    -2.23   0.027    -.2594056   -.0160803
         12  |   -.050127   .0780807    -0.64   0.521    -.2037661    .1035122
             |
  year_group |
          5  |   .0171793          .        .       .            .           .
          6  |    .108483   .0801655     1.35   0.177    -.0492584    .2662244
          7  |  -.0718893   .1321938    -0.54   0.587    -.3320065    .1882278
          8  |  -.0107366   .0966722    -0.11   0.912    -.2009582    .1794849
          9  |    .045562   .0562688     0.81   0.419    -.0651579    .1562819
         10  |   .0031994   .0738099     0.04   0.965     -.142036    .1484347
         11  |  -.1347576   .0795554    -1.69   0.091    -.2912985    .0217833
         12  |   -.126907   .0806389    -1.57   0.117    -.2855799    .0317659
         13  |  -.0996633   .0772246    -1.29   0.198    -.2516178    .0522912
             |
       _cons |   .3977278   .0803329     4.95   0.000     .2396571    .5557986
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,172    .2827685    .4982499          0   3.037044
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(18, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9728
                                                    Adj R-squared     = 0.9621
                                                    Root MSE          = 0.1052

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0115138    .026301     0.44   0.662    -.0402386    .0632662
             |
 scale_group |
          2  |   .0280522   .0265195     1.06   0.291    -.0241302    .0802346
          3  |          0  (omitted)
          4  |   .0367828   .0217281     1.69   0.091    -.0059715    .0795371
          5  |   .0217942   .0238744     0.91   0.362    -.0251834    .0687718
          6  |   .0874864   .0687135     1.27   0.204    -.0477209    .2226936
          7  |  -.0035582   .0358639    -0.10   0.921    -.0741274     .067011
          8  |    .006846   .0358639     0.19   0.849    -.0637233    .0774152
          9  |   .0314956   .0244541     1.29   0.199    -.0166225    .0796137
         10  |          0  (empty)
         11  |   .0371316   .0214826     1.73   0.085    -.0051397    .0794029
         12  |   .0102677    .021807     0.47   0.638    -.0326418    .0531773
             |
  year_group |
          5  |  -.1359193   1.59e-08 -8.5e+06   0.000    -.1359193   -.1359192
          6  |  -.0365131   .0849808    -0.43   0.668    -.2037294    .1307032
          7  |  -.0602145   .0712946    -0.84   0.399    -.2005005    .0800715
          8  |  -.0415367   .0699311    -0.59   0.553    -.1791398    .0960663
          9  |  -.0367284   .0684086    -0.54   0.592    -.1713356    .0978789
         10  |  -.0619069    .070752    -0.87   0.382    -.2011254    .0773115
         11  |  -.0319924   .0777948    -0.41   0.681     -.185069    .1210842
         12  |  -.0456313   .0771971    -0.59   0.555    -.1975318    .1062692
         13  |  -.0382104   .0756692    -0.50   0.614    -.1871044    .1106836
             |
       _cons |   .3633192   .0766152     4.74   0.000     .2125638    .5140746
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,172       .3323    .5270573          0   3.291121
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(17, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9467
                                                    Adj R-squared     = 0.9258
                                                    Root MSE          = 0.1477

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0029192   .0332966    -0.09   0.930    -.0684367    .0625984
             |
 scale_group |
          2  |  -.1097711   .1189472    -0.92   0.357     -.343823    .1242808
          3  |          0  (omitted)
          4  |    .016946   .0189619     0.89   0.372    -.0203652    .0542572
          5  |   .0102763   .0235486     0.44   0.663    -.0360602    .0566128
          6  |   .0132359   .0339422     0.39   0.697    -.0535521    .0800239
          7  |   .0042227   .0383529     0.11   0.912    -.0712441    .0796895
          8  |   .0042227   .0383529     0.11   0.912    -.0712441    .0796895
          9  |   .0350439   .0288771     1.21   0.226    -.0217774    .0918653
         10  |          0  (empty)
         11  |   .0187838    .048631     0.39   0.700    -.0769072    .1144749
         12  |   -.025778   .0903762    -0.29   0.776    -.2036109     .152055
             |
  year_group |
          5  |  -.2086949          .        .       .            .           .
          6  |  -.5928858   .1259391    -4.71   0.000    -.8406956    -.345076
          7  |  -.6399925    .114348    -5.60   0.000    -.8649945   -.4149905
          8  |  -.6450953   .1092718    -5.90   0.000     -.860109   -.4300815
          9  |  -.6427581   .1051811    -6.11   0.000    -.8497225   -.4357936
         10  |  -.5994146    .109569    -5.47   0.000    -.8150131   -.3838161
         11  |  -.5746447    .110681    -5.19   0.000    -.7924314   -.3568581
         12  |  -.5825062   .1116664    -5.22   0.000    -.8022317   -.3627806
         13  |  -.5577554   .1140742    -4.89   0.000    -.7822188    -.333292
             |
       _cons |     .94746   .1136584     8.34   0.000     .7238147    1.171105
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,172     .334943    .5434663          0   3.500976
(818 missing values generated)
(818 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,172
Absorbed variable: factor_pair                      No. of categories =    312
                                                    F(18, 308)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8243
                                                    Adj R-squared     = 0.7554
                                                    Root MSE          = 0.2606

                        (Std. err. adjusted for 309 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0325467   .0454663     0.72   0.475    -.0569173    .1220106
             |
 scale_group |
          2  |  -.0796731    .161831    -0.49   0.623    -.3981074    .2387612
          3  |          0  (omitted)
          4  |  -.0621867   .0458784    -1.36   0.176    -.1524615    .0280881
          5  |  -.0686688   .0577653    -1.19   0.235    -.1823334    .0449958
          6  |   .0618128   .0861135     0.72   0.473    -.1076325     .231258
          7  |  -.1196614   .0795787    -1.50   0.134    -.2762481    .0369253
          8  |  -.1198113   .0795787    -1.51   0.133     -.276398    .0367754
          9  |  -.0075029   .0787717    -0.10   0.924    -.1625017     .147496
         10  |          0  (empty)
         11  |  -.0052456   .0740145    -0.07   0.944    -.1508837    .1403924
         12  |   .0408523   .1425342     0.29   0.775    -.2396117    .3213163
             |
  year_group |
          5  |  -.1691703   3.13e-08 -5.4e+06   0.000    -.1691703   -.1691702
          6  |  -.1786387   .0845053    -2.11   0.035    -.3449193    -.012358
          7  |  -.1951259   .1198249    -1.63   0.104     -.430905    .0406531
          8  |  -.2089481   .0936595    -2.23   0.026    -.3932416   -.0246547
          9  |  -.2643656   .0654684    -4.04   0.000    -.3931876   -.1355437
         10  |  -.2193985   .0783689    -2.80   0.005    -.3736047   -.0651924
         11  |  -.1943015   .0841184    -2.31   0.022     -.359821   -.0287819
         12  |  -.2808864   .0878393    -3.20   0.002    -.4537275   -.1080453
         13  |  -.1968308   .0861025    -2.29   0.023    -.3662542   -.0274073
             |
       _cons |   .6009164   .1022621     5.88   0.000     .3996957    .8021371
------------------------------------------------------------------------------
(818 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,172         727           0        727        727

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,172    .3348081     .505175          0   3.047158

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(728 missing values generated)
(728 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,262
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7752
                                                    Adj R-squared     = 0.7022
                                                    Root MSE          = 0.2284

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0329662   .0500477    -0.66   0.511    -.1314279    .0654956
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1382036    .102043    -1.35   0.177    -.3389587    .0625516
          4  |   .1090936   .0450598     2.42   0.016     .0204448    .1977423
          5  |   .0540855   .0436141     1.24   0.216    -.0317191    .1398901
          6  |   .0762606   .0766273     1.00   0.320    -.0744928     .227014
          7  |   .1312629   .0660081     1.99   0.048     .0014012    .2611245
          8  |   .1375794   .0660081     2.08   0.038     .0077178    .2674411
          9  |   .0802707    .054478     1.47   0.142     -.026907    .1874484
         10  |   .0908978   .0889903     1.02   0.308     -.084178    .2659736
         11  |   .1957469   .0541799     3.61   0.000     .0891557    .3023381
         12  |   .0068536   .0517136     0.13   0.895    -.0948855    .1085928
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5708167    .127054    -4.49   0.000    -.8207775    -.320856
          7  |   .1381999   .1358368     1.02   0.310    -.1290398    .4054396
          8  |  -.0358873   .0886424    -0.40   0.686    -.2102787    .1385041
          9  |  -.0671039    .083115    -0.81   0.420     -.230621    .0964131
         10  |   .0033531    .086578     0.04   0.969    -.1669768     .173683
         11  |   .0748148   .0981027     0.76   0.446    -.1181883     .267818
         12  |   .0749134   .0971774     0.77   0.441    -.1162693    .2660961
         13  |   .0191283   .0987862     0.19   0.847    -.1752196    .2134762
             |
       _cons |   .1517095   .1003923     1.51   0.132    -.0457982    .3492171
------------------------------------------------------------------------------
(728 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,262         767           0        767        767

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,262     .223366    .4162267          0   3.109899
(728 missing values generated)
(728 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,262
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8277
                                                    Adj R-squared     = 0.7717
                                                    Root MSE          = 0.2220

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0057419   .0499685     0.11   0.909    -.0925642    .1040479
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0406782   .0915374    -0.44   0.657    -.2207651    .1394087
          4  |   .1109381   .0277189     4.00   0.000     .0564052    .1654711
          5  |   .0661426   .0376253     1.76   0.080    -.0078799    .1401651
          6  |   .0345129   .0511268     0.68   0.500    -.0660719    .1350976
          7  |   .0947586   .0461995     2.05   0.041     .0038675    .1856496
          8  |   .0947586   .0461995     2.05   0.041     .0038675    .1856496
          9  |   .0762294   .0330753     2.30   0.022     .0111584    .1413004
         10  |   .1018588   .0534193     1.91   0.057    -.0032362    .2069538
         11  |   .0823329   .0429435     1.92   0.056    -.0021524    .1668183
         12  |   .0513277   .0426825     1.20   0.230     -.032644    .1352994
             |
  year_group |
          5  |          0  (empty)
          6  |  -.4412587   .0894623    -4.93   0.000    -.6172631   -.2652543
          7  |  -.4649324   .0438789   -10.60   0.000     -.551258   -.3786069
          8  |  -.3539386   .0217259   -16.29   0.000    -.3966813   -.3111959
          9  |  -.3453567   .0111821   -30.88   0.000     -.367356   -.3233574
         10  |  -.2667102   .0240858   -11.07   0.000    -.3140955   -.2193249
         11  |   -.207238   .0415758    -4.98   0.000    -.2890325   -.1254434
         12  |  -.2749566   .0414066    -6.64   0.000    -.3564183   -.1934949
         13  |  -.1837831   .0786374    -2.34   0.020    -.3384911   -.0290751
             |
       _cons |   .4454451   .0512085     8.70   0.000     .3446996    .5461907
------------------------------------------------------------------------------
(728 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,262         767           0        767        767

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,262    .2414925    .4465416          0   3.135498
(728 missing values generated)
(728 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,262
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7616
                                                    Adj R-squared     = 0.6842
                                                    Root MSE          = 0.1831

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0362908   .0343175     1.06   0.291     -.031224    .1038055
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0600294   .0439121     1.37   0.173    -.0263614    .1464201
          4  |    .052392   .0447158     1.17   0.242      -.03558    .1403639
          5  |   .0570534   .0478215     1.19   0.234    -.0370287    .1511355
          6  |   .0080379   .0581719     0.14   0.890     -.106407    .1224828
          7  |  -.0076805   .0540785    -0.14   0.887    -.1140723    .0987113
          8  |  -.0076805   .0540785    -0.14   0.887    -.1140723    .0987113
          9  |   .0837607     .05571     1.50   0.134    -.0258409    .1933622
         10  |   .1413873   .0597551     2.37   0.019     .0238275    .2589471
         11  |   .0523373   .0503881     1.04   0.300    -.0467942    .1514689
         12  |  -.0413086   .0516004    -0.80   0.424     -.142825    .0602079
             |
  year_group |
          5  |          0  (empty)
          6  |   .0075438   .1321673     0.06   0.955    -.2524767    .2675644
          7  |   -.112886    .093844    -1.20   0.230    -.2975109    .0717389
          8  |  -.0172667   .0894294    -0.19   0.847    -.1932063    .1586729
          9  |  -.0773522   .0861146    -0.90   0.370    -.2467706    .0920661
         10  |  -.0478424   .0891337    -0.54   0.592    -.2232003    .1275156
         11  |  -.0729919   .0885064    -0.82   0.410    -.2471157     .101132
         12  |  -.0449349   .0923506    -0.49   0.627    -.2266216    .1367518
         13  |   -.023174   .0902855    -0.26   0.798    -.2007979      .15445
             |
       _cons |   .2022448   .0964373     2.10   0.037     .0125179    .3919716
------------------------------------------------------------------------------
(728 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,262         767           0        767        767

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,262    .2138513    .3408024          0   2.626521
(728 missing values generated)
(728 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,262
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5603
                                                    Adj R-squared     = 0.4175
                                                    Root MSE          = 0.1948

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0222518   .0389756    -0.57   0.568    -.0989309    .0544272
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1974832   .2625694     0.75   0.453    -.3190849    .7140512
          4  |   .0570018   .0217656     2.62   0.009     .0141811    .0998226
          5  |   .0351767   .0265322     1.33   0.186    -.0170216     .087375
          6  |    .070019   .0334689     2.09   0.037     .0041736    .1358644
          7  |  -.0368912   .0400911    -0.92   0.358    -.1157649    .0419824
          8  |  -.0368912   .0400911    -0.92   0.358    -.1157649    .0419824
          9  |   .0003627   .0267461     0.01   0.989    -.0522564    .0529818
         10  |   .0104046   .0264362     0.39   0.694    -.0416048     .062414
         11  |   .0579227   .0281194     2.06   0.040     .0026016    .1132437
         12  |  -.0143689   .0669703    -0.21   0.830    -.1461235    .1173858
             |
  year_group |
          5  |          0  (empty)
          6  |   .2842542   .2220592     1.28   0.201    -.1526159    .7211243
          7  |   .2682901   .2152399     1.25   0.213    -.1551641    .6917442
          8  |   .2197035   .2052631     1.07   0.285    -.1841225    .6235296
          9  |   .2050488    .201592     1.02   0.310     -.191555    .6016525
         10  |   .2092192   .2033973     1.03   0.304    -.1909363    .6093746
         11  |   .1993416   .2050679     0.97   0.332    -.2041005    .6027838
         12  |   .2040126   .2042608     1.00   0.319    -.1978416    .6058668
         13  |    .175337   .2051375     0.85   0.393     -.228242    .5789161
             |
       _cons |   -.115879   .2050242    -0.57   0.572    -.5192352    .2874772
------------------------------------------------------------------------------
(728 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,262         767           0        767        767

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,262    .1191308     .273816          0   2.502522
(728 missing values generated)
(728 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,262
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7551
                                                    Adj R-squared     = 0.6757
                                                    Root MSE          = 0.2649

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0515174   .0476759     1.08   0.281    -.0422781     .145313
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1900351   .0926037     2.05   0.041     .0078503    .3722199
          4  |  -.0051366   .0302257    -0.17   0.865    -.0646013    .0543281
          5  |   .0335641   .0329623     1.02   0.309    -.0312845    .0984127
          6  |  -.0027186   .0480979    -0.06   0.955    -.0973444    .0919073
          7  |   .0141755   .0504095     0.28   0.779     -.084998     .113349
          8  |   .0589283   .0504095     1.17   0.243    -.0402452    .1581018
          9  |   .0058406   .0928568     0.06   0.950    -.1768421    .1885233
         10  |   -.094359   .0560958    -1.68   0.094    -.2047195    .0160015
         11  |  -.1022225   .0410142    -2.49   0.013    -.1829121   -.0215329
         12  |   .0588967    .043947     1.34   0.181    -.0275628    .1453561
             |
  year_group |
          5  |          0  (empty)
          6  |    .738393    .431412     1.71   0.088     -.110349    1.587135
          7  |   .0872339   .2009001     0.43   0.664    -.3080086    .4824764
          8  |   .1343774   .1585434     0.85   0.397    -.1775343    .4462891
          9  |    .193926   .1526997     1.27   0.205     -.106489     .494341
         10  |   .1023057   .1587056     0.64   0.520    -.2099251    .4145364
         11  |   .0016666   .1610154     0.01   0.992    -.3151084    .3184417
         12  |  -.0078571   .1613411    -0.05   0.961     -.325273    .3095588
         13  |     .03523   .1610047     0.22   0.827    -.2815239    .3519839
             |
       _cons |   .1521269   .1596049     0.95   0.341    -.1618731    .4661269
------------------------------------------------------------------------------
(728 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,262         767           0        767        767

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,262    .2488992    .4505257          0   4.003597
(728 missing values generated)
(728 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,262
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9724
                                                    Adj R-squared     = 0.9634
                                                    Root MSE          = 0.0984

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0012062   .0176128     0.07   0.945    -.0334444    .0358569
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0339325   .0272561    -1.24   0.214    -.0875549    .0196899
          4  |   .0185236   .0149215     1.24   0.215    -.0108323    .0478794
          5  |   .0049098   .0117324     0.42   0.676    -.0181721    .0279916
          6  |   .0055066   .0197223     0.28   0.780    -.0332941    .0443074
          7  |  -.0352726   .0218685    -1.61   0.108    -.0782957    .0077506
          8  |  -.0277569   .0218685    -1.27   0.205    -.0707801    .0152663
          9  |   .0234318   .0143496     1.63   0.103    -.0047991    .0516627
         10  |  -.0549031   .0552803    -0.99   0.321    -.1636593    .0538532
         11  |   .0271576   .0209962     1.29   0.197    -.0141494    .0684645
         12  |  -.0009495   .0135848    -0.07   0.944    -.0276757    .0257767
             |
  year_group |
          5  |          0  (empty)
          6  |   .0739355   .1135035     0.65   0.515    -.1493665    .2972375
          7  |  -.0292151   .0490659    -0.60   0.552    -.1257452     .067315
          8  |  -.0464514   .0474212    -0.98   0.328    -.1397459     .046843
          9  |  -.0391488   .0461179    -0.85   0.397    -.1298791    .0515816
         10  |  -.0499788   .0480566    -1.04   0.299    -.1445233    .0445657
         11  |  -.0336099   .0512381    -0.66   0.512    -.1344135    .0671938
         12  |  -.0268044   .0533587    -0.50   0.616      -.13178    .0781712
         13  |  -.0388109   .0526168    -0.74   0.461    -.1423271    .0647053
             |
       _cons |   .3493824   .0518024     6.74   0.000     .2474685    .4512963
------------------------------------------------------------------------------
(728 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,262         767           0        767        767

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,262     .299533    .4951971          0   2.761738
(728 missing values generated)
(728 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,262
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9582
                                                    Adj R-squared     = 0.9446
                                                    Root MSE          = 0.1184

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    -.01482     .02486    -0.60   0.552    -.0637284    .0340885
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0591269    .044991     1.31   0.190    -.0293864    .1476403
          4  |  -.0044614   .0136887    -0.33   0.745     -.031392    .0224691
          5  |   -.011062   .0130873    -0.85   0.399    -.0368095    .0146855
          6  |  -.0253458   .0256445    -0.99   0.324    -.0757978    .0251061
          7  |   -.029667   .0230128    -1.29   0.198    -.0749414    .0156074
          8  |   -.029667   .0230128    -1.29   0.198    -.0749414    .0156074
          9  |   .0267902   .0284919     0.94   0.348    -.0292636     .082844
         10  |  -.0064819   .0218068    -0.30   0.766    -.0493838      .03642
         11  |  -.0025437   .0335643    -0.08   0.940    -.0685767    .0634894
         12  |   .0317514    .019301     1.65   0.101    -.0062207    .0697234
             |
  year_group |
          5  |          0  (empty)
          6  |  -1.054931   .2367259    -4.46   0.000    -1.520656   -.5892062
          7  |  -.9263424   .2324099    -3.99   0.000    -1.383576   -.4691087
          8  |  -.9390454   .2340654    -4.01   0.000    -1.399536   -.4785549
          9  |  -.9540966   .2291134    -4.16   0.000    -1.404845   -.5033484
         10  |  -.9473122   .2311624    -4.10   0.000    -1.402092   -.4925328
         11  |  -.9555636   .2313107    -4.13   0.000    -1.410635   -.5004924
         12  |   -.954451   .2313121    -4.13   0.000    -1.409525   -.4993772
         13  |  -.9335866   .2320592    -4.02   0.000     -1.39013   -.4770428
             |
       _cons |   1.265046   .2289626     5.53   0.000     .8145945    1.715497
------------------------------------------------------------------------------
(728 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,262         767           0        767        767

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,262    .2976535     .493581          0   2.958336
(728 missing values generated)
(728 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,262
Absorbed variable: factor_pair                      No. of categories =    291
                                                    F(18, 322)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7995
                                                    Adj R-squared     = 0.7344
                                                    Root MSE          = 0.2624

                        (Std. err. adjusted for 323 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0182831   .0536755     0.34   0.734    -.0873159    .1238821
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1710401   .1999197     0.86   0.393    -.2222736    .5643538
          4  |   .0205807   .0299122     0.69   0.492    -.0382673    .0794287
          5  |    .005239   .0336364     0.16   0.876    -.0609358    .0714138
          6  |   -.053465   .0598932    -0.89   0.373    -.1712964    .0643663
          7  |  -.0033136   .0490153    -0.07   0.946    -.0997442    .0931171
          8  |   .0156858   .0490153     0.32   0.749    -.0807449    .1121164
          9  |   .0938513   .0761348     1.23   0.219    -.0559332    .2436359
         10  |  -.0578357   .0639246    -0.90   0.366    -.1835983    .0679269
         11  |   .0217172    .051419     0.42   0.673    -.0794424    .1228768
         12  |   .1252647   .0559168     2.24   0.026     .0152563    .2352732
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2267468   .3478198    -0.65   0.515     -.911033    .4575394
          7  |  -.4299243   .2849207    -1.51   0.132    -.9904654    .1306168
          8  |  -.4417286     .26562    -1.66   0.097    -.9642985    .0808413
          9  |  -.4448325   .2581738    -1.72   0.086     -.952753     .063088
         10  |  -.4623711   .2621839    -1.76   0.079    -.9781808    .0534387
         11  |  -.5110159   .2631754    -1.94   0.053    -1.028776    .0067445
         12  |  -.4827727   .2638349    -1.83   0.068     -1.00183    .0362851
         13  |  -.4589909   .2642744    -1.74   0.083    -.9789134    .0609315
             |
       _cons |   .7642408   .2622466     2.91   0.004     .2483076    1.280174
------------------------------------------------------------------------------
(728 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,262         767           0        767        767

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,262    .3312123    .5012756          0   3.021338

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(786 missing values generated)
(786 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,204
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7969
                                                    Adj R-squared     = 0.7246
                                                    Root MSE          = 0.2292

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0199634   .0512036     0.39   0.697     -.080776    .1207028
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0546628   .0764118    -0.72   0.475    -.2049975     .095672
          4  |    .047767   .0474176     1.01   0.315    -.0455237    .1410577
          5  |   .0131397   .0256018     0.51   0.608      -.03723    .0635094
          6  |   .1158266   .0719196     1.61   0.108      -.02567    .2573232
          7  |   .1721742   .0732456     2.35   0.019     .0280687    .3162797
          8  |          0  (empty)
          9  |  -.0160583   .0520783    -0.31   0.758    -.1185186    .0864021
         10  |   .1542093   .1324586     1.16   0.245    -.1063936    .4148122
         11  |    .126394   .0595719     2.12   0.035     .0091905    .2435975
         12  |   .0181383   .0515612     0.35   0.725    -.0833047    .1195812
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1904787   .1135249    -1.68   0.094    -.4138309    .0328735
          7  |   .0079671   .1071448     0.07   0.941    -.2028326    .2187668
          8  |   .0078354   .0729171     0.11   0.914    -.1356238    .1512945
          9  |   -.011367   .0661942    -0.17   0.864    -.1415992    .1188653
         10  |   .1078532   .0745819     1.45   0.149    -.0388813    .2545877
         11  |   .1552108   .0811746     1.91   0.057    -.0044944     .314916
         12  |   .1761183   .0797871     2.21   0.028     .0191429    .3330936
         13  |    .122265   .0845289     1.45   0.149    -.0440395    .2885695
             |
       _cons |   .0926745   .0830514     1.12   0.265    -.0707232    .2560722
------------------------------------------------------------------------------
(786 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,204         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,204    .2586037     .462723          0   2.874882
(786 missing values generated)
(786 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,204
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8322
                                                    Adj R-squared     = 0.7724
                                                    Root MSE          = 0.2356

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0105545   .0645509    -0.16   0.870    -.1375539    .1164449
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0040331   .0734356    -0.05   0.956    -.1485123    .1404461
          4  |   .0409227     .03854     1.06   0.289     -.034902    .1167475
          5  |  -.0052773   .0322755    -0.16   0.870     -.068777    .0582224
          6  |   .0034943   .0523387     0.07   0.947    -.0994783    .1064668
          7  |   .0630262   .0598129     1.05   0.293    -.0546514    .1807037
          8  |          0  (empty)
          9  |   .0152333   .0383173     0.40   0.691    -.0601532    .0906198
         10  |   .0456436   .0674852     0.68   0.499    -.0871287    .1784158
         11  |   .0306436    .051894     0.59   0.555    -.0714541    .1327413
         12  |   .0596255   .0743804     0.80   0.423    -.0867125    .2059635
             |
  year_group |
          5  |          0  (empty)
          6  |  -.3944047   .1887305    -2.09   0.037    -.7657184    -.023091
          7  |  -.4126133   .1444611    -2.86   0.005    -.6968303   -.1283964
          8  |  -.3443378    .135325    -2.54   0.011    -.6105801   -.0780956
          9  |  -.3244881   .1362293    -2.38   0.018    -.5925096   -.0564666
         10  |  -.2497114   .1386393    -1.80   0.073    -.5224743    .0230515
         11  |   -.162809   .1456913    -1.12   0.265    -.4494463    .1238283
         12  |  -.2332572   .1430196    -1.63   0.104     -.514638    .0481237
         13  |  -.1868279    .149398    -1.25   0.212    -.4807578     .107102
             |
       _cons |   .5119304   .1508068     3.39   0.001     .2152288    .8086319
------------------------------------------------------------------------------
(786 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,204         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,204    .2893701    .5105745          0   3.436898
(786 missing values generated)
(786 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,204
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7550
                                                    Adj R-squared     = 0.6678
                                                    Root MSE          = 0.2207

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .003788   .0411299     0.09   0.927    -.0771322    .0847081
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0664661   .0702348     0.95   0.345    -.0717158     .204648
          4  |   .3211895   .0360597     8.91   0.000     .2502446    .3921344
          5  |   .2558876    .020565    12.44   0.000     .2154275    .2963477
          6  |   .1672445   .0576886     2.90   0.004     .0537464    .2807426
          7  |    .239874   .0477909     5.02   0.000     .1458488    .3338992
          8  |          0  (empty)
          9  |   .3096152   .0562734     5.50   0.000     .1989014    .4203291
         10  |   .5097196   .0594595     8.57   0.000     .3927373    .6267019
         11  |    .292444   .0444697     6.58   0.000     .2049531    .3799348
         12  |  -.0160554   .0702852    -0.23   0.819    -.1543365    .1222256
             |
  year_group |
          5  |          0  (empty)
          6  |   .0067624   .1614548     0.04   0.967    -.3108883    .3244132
          7  |  -.0352757   .1399346    -0.25   0.801    -.3105871    .2400357
          8  |  -.0700207    .126882    -0.55   0.581    -.3196519    .1796106
          9  |  -.0933158   .1272357    -0.73   0.464    -.3436429    .1570113
         10  |  -.1047568   .1310237    -0.80   0.425    -.3625365    .1530229
         11  |  -.1232938   .1307303    -0.94   0.346    -.3804962    .1339087
         12  |  -.1208722   .1312681    -0.92   0.358    -.3791327    .1373883
         13  |  -.0998665   .1312912    -0.76   0.447    -.3581726    .1584397
             |
       _cons |   .1373581    .131681     1.04   0.298    -.1217148     .396431
------------------------------------------------------------------------------
(786 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,204         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,204    .2579072    .3954017          0   2.693496
(786 missing values generated)
(786 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,204
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5924
                                                    Adj R-squared     = 0.4472
                                                    Root MSE          = 0.1860

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0170293   .0351228    -0.48   0.628    -.0861309    .0520723
             |
 scale_group |
          2  |   .0920932   .0530456     1.74   0.084    -.0122703    .1964567
          3  |          0  (omitted)
          4  |   .1103829   .0278482     3.96   0.000     .0555936    .1651722
          5  |   .1284176   .0175614     7.31   0.000     .0938668    .1629684
          6  |   .1867478   .0446166     4.19   0.000     .0989678    .2745277
          7  |   .0386217   .0437161     0.88   0.378    -.0473866      .12463
          8  |          0  (empty)
          9  |   .0696804   .0321238     2.17   0.031      .006479    .1328817
         10  |   .0507139   .0293569     1.73   0.085    -.0070436    .1084715
         11  |   .1205436   .0331681     3.63   0.000     .0552877    .1857996
         12  |   .0479501   .0489548     0.98   0.328    -.0483649    .1442651
             |
  year_group |
          5  |          0  (empty)
          6  |    .371397    .082989     4.48   0.000      .208122    .5346719
          7  |   .3336207   .0921592     3.62   0.000     .1523042    .5149373
          8  |   .2880829   .0907381     3.17   0.002     .1095621    .4666036
          9  |   .3135017   .0838711     3.74   0.000     .1484913     .478512
         10  |   .2751318   .0886913     3.10   0.002     .1006379    .4496256
         11  |   .3047722   .0873319     3.49   0.001      .132953    .4765914
         12  |   .2919214   .0866866     3.37   0.001     .1213718    .4624711
         13  |   .2938348   .0872358     3.37   0.001     .1222046    .4654649
             |
       _cons |  -.2744599   .0934632    -2.94   0.004    -.4583421   -.0905776
------------------------------------------------------------------------------
(786 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,204         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,204    .1138229    .2697302          0    2.40015
(786 missing values generated)
(786 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,204
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7957
                                                    Adj R-squared     = 0.7229
                                                    Root MSE          = 0.2551

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0438418   .0466069     0.94   0.348     -.047854    .1355375
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2314381   .0954797     2.42   0.016     .0435887    .4192876
          4  |   .0380322   .0524903     0.72   0.469    -.0652388    .1413032
          5  |   .0638807   .0233034     2.74   0.006     .0180329    .1097286
          6  |  -.0215202    .081022    -0.27   0.791    -.1809253    .1378848
          7  |   .0042453   .0592196     0.07   0.943    -.1122649    .1207556
          8  |          0  (empty)
          9  |   .0841006   .0878807     0.96   0.339    -.0887984    .2569997
         10  |   .0006825   .0662281     0.01   0.992    -.1296165    .1309815
         11  |  -.0391617    .058504    -0.67   0.504    -.1542641    .0759407
         12  |   .1235876   .0605758     2.04   0.042     .0044091    .2427662
             |
  year_group |
          5  |          0  (empty)
          6  |   .2902096   .2555155     1.14   0.257    -.2124989    .7929181
          7  |  -.1547498    .171786    -0.90   0.368    -.4927265    .1832268
          8  |  -.1051732   .1472465    -0.71   0.476    -.3948702    .1845239
          9  |  -.0857553   .1404838    -0.61   0.542     -.362147    .1906364
         10  |  -.1072099   .1488497    -0.72   0.472    -.4000611    .1856413
         11  |  -.2901744   .1531871    -1.89   0.059    -.5915591    .0112103
         12  |  -.2481056   .1532534    -1.62   0.106    -.5496208    .0534095
         13  |  -.2389718   .1533857    -1.56   0.120    -.5407473    .0628036
             |
       _cons |    .385119   .1503353     2.56   0.011     .0893451    .6808929
------------------------------------------------------------------------------
(786 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,204         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,204    .2805578    .4973313          0    3.67128
(786 missing values generated)
(786 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,204
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9731
                                                    Adj R-squared     = 0.9636
                                                    Root MSE          = 0.1004

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0133673   .0209571    -0.64   0.524    -.0545988    .0278643
             |
 scale_group |
          2  |          0  (omitted)
          3  |    .019956   .0187328     1.07   0.288    -.0168994    .0568114
          4  |    .025351   .0185469     1.37   0.173    -.0111387    .0618407
          5  |   .0170126   .0104785     1.62   0.105    -.0036031    .0376284
          6  |   .1122556   .0671456     1.67   0.096    -.0198485    .2443597
          7  |  -.0027398   .0288659    -0.09   0.924    -.0595314    .0540519
          8  |          0  (empty)
          9  |   .0383419   .0209486     1.83   0.068     -.002873    .0795569
         10  |  -.0185501   .0380442    -0.49   0.626    -.0933994    .0562992
         11  |   .0319419   .0195045     1.64   0.102    -.0064319    .0703156
         12  |   .0057765   .0129873     0.44   0.657    -.0197751    .0313281
             |
  year_group |
          5  |          0  (empty)
          6  |  -.0587464    .079549    -0.74   0.461    -.2152534    .0977607
          7  |  -.0286048   .0686513    -0.42   0.677    -.1636714    .1064618
          8  |  -.0405382   .0644533    -0.63   0.530    -.1673455     .086269
          9  |  -.0499499   .0662619    -0.75   0.452    -.1803156    .0804157
         10  |  -.0681436   .0662697    -1.03   0.305    -.1985246    .0622373
         11  |  -.0474698   .0697372    -0.68   0.497    -.1846729    .0897332
         12  |  -.0529925    .068834    -0.77   0.442    -.1884184    .0824335
         13  |  -.0560804   .0699312    -0.80   0.423    -.1936651    .0815042
             |
       _cons |   .3761543   .0694197     5.42   0.000      .239576    .5127326
------------------------------------------------------------------------------
(786 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,204         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,204    .3345343    .5313761          0   3.155051
(786 missing values generated)
(786 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,204
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9398
                                                    Adj R-squared     = 0.9184
                                                    Root MSE          = 0.1504

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0357917   .0269287    -1.33   0.185    -.0887719    .0171885
             |
 scale_group |
          2  |  -.1608854   .1005392    -1.60   0.111     -.358689    .0369182
          3  |          0  (omitted)
          4  |  -.0186035   .0209363    -0.89   0.375    -.0597941    .0225871
          5  |  -.0178959   .0134643    -1.33   0.185     -.044386    .0085942
          6  |  -.0398841   .0423181    -0.94   0.347    -.1231418    .0433737
          7  |  -.0157744   .0272686    -0.58   0.563    -.0694235    .0378747
          8  |          0  (empty)
          9  |  -.0501967   .0343652    -1.46   0.145    -.1178076    .0174143
         10  |   -.043307   .0308081    -1.41   0.161    -.1039198    .0173057
         11  |  -.0186328   .0384443    -0.48   0.628    -.0942692    .0570036
         12  |  -.0923518   .0905241    -1.02   0.308    -.2704515     .085748
             |
  year_group |
          5  |          0  (empty)
          6  |  -1.156167   .2193996    -5.27   0.000     -1.58782   -.7245144
          7  |  -1.290064   .2458226    -5.25   0.000    -1.773702   -.8064256
          8  |  -1.270221   .2483843    -5.11   0.000    -1.758899   -.7815423
          9  |  -1.292344   .2473035    -5.23   0.000    -1.778896   -.8057924
         10  |  -1.284671   .2466241    -5.21   0.000    -1.769887   -.7994561
         11  |  -1.244598   .2465211    -5.05   0.000    -1.729611   -.7595858
         12  |  -1.244308   .2463968    -5.05   0.000    -1.729076   -.7595398
         13  |  -1.264268    .246578    -5.13   0.000    -1.749392   -.7791433
             |
       _cons |   1.651509   .2461658     6.71   0.000     1.167195    2.135823
------------------------------------------------------------------------------
(786 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,204         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,204    .3331156    .5374413          0   3.245764
(786 missing values generated)
(786 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,204
Absorbed variable: factor_pair                      No. of categories =    299
                                                    F(17, 319)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8267
                                                    Adj R-squared     = 0.7649
                                                    Root MSE          = 0.2492

                        (Std. err. adjusted for 320 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1165043      .0529     2.20   0.028     .0124274    .2205812
             |
 scale_group |
          2  |  -.2543437   .0796745    -3.19   0.002    -.4110976   -.0975898
          3  |          0  (omitted)
          4  |   .0738456   .0419766     1.76   0.080    -.0087404    .1564315
          5  |     .09215     .02645     3.48   0.001     .0401115    .1441884
          6  |   .0868458   .0851561     1.02   0.309    -.0806927    .2543844
          7  |   .1169074   .0621666     1.88   0.061     -.005401    .2392158
          8  |          0  (empty)
          9  |   .1876187   .0692973     2.71   0.007     .0512812    .3239561
         10  |   .1112753   .0628357     1.77   0.078    -.0123495    .2349001
         11  |    .127371   .0649798     1.96   0.051    -.0004722    .2552142
         12  |  -.0618929    .048315    -1.28   0.201    -.1569492    .0331635
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1449766   .1341029    -1.08   0.280    -.4088145    .1188612
          7  |  -.3509787   .1323717    -2.65   0.008    -.6114106   -.0905468
          8  |  -.4744194      .1249    -3.80   0.000    -.7201512   -.2286876
          9  |  -.4371009   .1140551    -3.83   0.000    -.6614962   -.2127057
         10  |  -.3932887   .1219724    -3.22   0.001    -.6332606   -.1533168
         11  |  -.4025479   .1247173    -3.23   0.001    -.6479203   -.1571756
         12  |  -.3633298   .1243304    -2.92   0.004     -.607941   -.1187186
         13  |  -.3492615   .1292954    -2.70   0.007     -.603641    -.094882
             |
       _cons |   .6291228    .129697     4.85   0.000     .3739531    .8842924
------------------------------------------------------------------------------
(786 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,204         760           0        760        760

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,204    .3399417    .5177291          0   2.576374

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(16, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7911
                                                    Adj R-squared     = 0.7191
                                                    Root MSE          = 0.2199

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0301162   .0513586     0.59   0.558    -.0709331    .1311654
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0017336   .0608429    -0.03   0.977    -.1214434    .1179763
          4  |   .1788158   .0441085     4.05   0.000     .0920313    .2656002
          5  |   .0851611   .0859835     0.99   0.323    -.0840135    .2543357
          6  |   .1474082   .0732341     2.01   0.045     .0033184     .291498
          7  |   .3398201   .1043886     3.26   0.001      .134433    .5452071
          8  |   .3454978   .1043886     3.31   0.001     .1401107    .5508849
          9  |   .1279182   .0722272     1.77   0.078    -.0141906    .2700269
         10  |          0  (empty)
         11  |   .2620144   .0732387     3.58   0.000     .1179156    .4061133
         12  |   .0359947   .0421208     0.85   0.393    -.0468789    .1188683
             |
  year_group |
          5  |   .0429919          .        .       .            .           .
          6  |  -.2236155   .1281155    -1.75   0.082    -.4756858    .0284547
          7  |    .385052   .1827954     2.11   0.036     .0253978    .7447062
          8  |   .1905245   .1281155     1.49   0.138    -.0615458    .4425947
          9  |   .2220285   .1361926     1.63   0.104    -.0459336    .4899907
         10  |   .2945652   .1365423     2.16   0.032      .025915    .5632153
         11  |   .3292717   .1393205     2.36   0.019     .0551554     .603388
         12  |   .3428403   .1410949     2.43   0.016     .0652329    .6204478
         13  |   .3158306   .1437525     2.20   0.029     .0329942    .5986671
             |
       _cons |  -.1986925   .1425257    -1.39   0.164    -.4791152    .0817302
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,242    .2279896    .4186574          0   2.782764
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8292
                                                    Adj R-squared     = 0.7703
                                                    Root MSE          = 0.2353

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0171754   .0620416     0.28   0.782    -.1048928    .1392437
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0829321   .0400108    -2.07   0.039    -.1616543     -.00421
          4  |   .1336507   .0473243     2.82   0.005      .040539    .2267623
          5  |   .0938945   .0715314     1.31   0.190    -.0468452    .2346343
          6  |   .0823413   .0700821     1.17   0.241     -.055547    .2202295
          7  |   .1628836   .0815447     2.00   0.047     .0024425    .3233247
          8  |   .1628836   .0815447     2.00   0.047     .0024425    .3233247
          9  |   .1289387   .0548958     2.35   0.019     .0209299    .2369475
         10  |          0  (empty)
         11  |   .1110849   .0595323     1.87   0.063    -.0060463     .228216
         12  |  -.0341275   .0318956    -1.07   0.285    -.0968828    .0286279
             |
  year_group |
          5  |  -.4580223   5.89e-08 -7.8e+06   0.000    -.4580224   -.4580222
          6  |  -.2860941   .2439839    -1.17   0.242    -.7661382    .1939501
          7  |  -.2422864   .2466359    -0.98   0.327    -.7275484    .2429755
          8  |  -.1719283   .2439839    -0.70   0.482    -.6519724    .3081158
          9  |  -.1652983   .2430385    -0.68   0.497    -.6434822    .3128855
         10  |  -.0225531   .2445111    -0.09   0.927    -.5036344    .4585282
         11  |   .0266135   .2470784     0.11   0.914    -.4595191    .5127461
         12  |  -.0243325   .2455149    -0.10   0.921    -.5073888    .4587238
         13  |   .0317401   .2581398     0.12   0.902    -.4761562    .5396363
             |
       _cons |   .2323174   .2482828     0.94   0.350    -.2561849    .7208197
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,242    .2572298    .4802504          0   3.506007
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8070
                                                    Adj R-squared     = 0.7406
                                                    Root MSE          = 0.1995

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0041472   .0422651     0.10   0.922    -.0790104    .0873048
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0622416   .0441896     1.41   0.160    -.0247025    .1491857
          4  |   .0048857   .0295927     0.17   0.869    -.0533386      .06311
          5  |  -.0291794   .0498241    -0.59   0.559    -.1272094    .0688506
          6  |  -.0345643    .055018    -0.63   0.530    -.1428135    .0736849
          7  |  -.1007242   .0651238    -1.55   0.123    -.2288569    .0274085
          8  |  -.1007242   .0651238    -1.55   0.123    -.2288569    .0274085
          9  |   .0056283   .0618738     0.09   0.928    -.1161098    .1273663
         10  |          0  (empty)
         11  |   -.014348   .0497053    -0.29   0.773    -.1121444    .0834484
         12  |  -.0120353    .034242    -0.35   0.725    -.0794071    .0553366
             |
  year_group |
          5  |   .4973917   4.12e-08  1.2e+07   0.000     .4973916    .4973917
          6  |  -.0817863   .2253238    -0.36   0.717    -.5251163    .3615436
          7  |  -.2978352   .2288624    -1.30   0.194    -.7481272    .1524569
          8  |  -.3236961   .2253238    -1.44   0.152     -.767026    .1196339
          9  |   -.378909   .2277524    -1.66   0.097    -.8270171    .0691992
         10  |  -.3697083   .2265121    -1.63   0.104    -.8153762    .0759596
         11  |  -.3648227   .2259963    -1.61   0.107    -.8094757    .0798304
         12  |  -.3484741   .2266286    -1.54   0.125    -.7943712    .0974231
         13  |  -.3390198   .2259504    -1.50   0.135    -.7835826     .105543
             |
       _cons |    .604734    .223721     2.70   0.007     .1645577     1.04491
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,242    .2493512    .3962535          0   2.594394
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5834
                                                    Adj R-squared     = 0.4399
                                                    Root MSE          = 0.2002

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0020825   .0288264    -0.07   0.942    -.0587992    .0546341
             |
 scale_group |
          2  |  -.0086701   .0640142    -0.14   0.892    -.1346197    .1172794
          3  |          0  (omitted)
          4  |   .0635326    .033104     1.92   0.056    -.0016004    .1286655
          5  |   .0769366   .0568374     1.35   0.177    -.0348924    .1887655
          6  |   .0846484   .0482315     1.76   0.080    -.0102482    .1795449
          7  |  -.1065329   .0900502    -1.18   0.238    -.2837089     .070643
          8  |  -.1065329   .0900502    -1.18   0.238    -.2837089     .070643
          9  |   .0247901   .0403945     0.61   0.540    -.0546871    .1042673
         10  |          0  (empty)
         11  |   .0968784   .0462164     2.10   0.037     .0059465    .1878104
         12  |   .0139756   .0503575     0.28   0.782     -.085104    .1130551
             |
  year_group |
          5  |      .1008   5.06e-08  2.0e+06   0.000     .1007999    .1008001
          6  |   .2494948   .0843326     2.96   0.003     .0835685    .4154212
          7  |   .1503594   .1418188     1.06   0.290    -.1286725    .4293913
          8  |   .0487983   .0843326     0.58   0.563    -.1171281    .2147246
          9  |   .0721458   .0879033     0.82   0.412     -.100806    .2450977
         10  |   .0514993   .0879278     0.59   0.558    -.1215008    .2244994
         11  |   .0896882   .0904168     0.99   0.322    -.0882089    .2675854
         12  |   .0782125   .0887841     0.88   0.379    -.0964722    .2528972
         13  |   .0425643   .0916997     0.46   0.643    -.1378571    .2229856
             |
       _cons |   .0072011   .0963179     0.07   0.940    -.1823066    .1967088
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,242    .1322497    .2795191          0   2.327487
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(16, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8050
                                                    Adj R-squared     = 0.7378
                                                    Root MSE          = 0.2574

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0413335    .050995     0.81   0.418    -.0590003    .1416673
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1690277    .092613     1.83   0.069    -.0131907     .351246
          4  |  -.0282448   .0377767    -0.75   0.455    -.1025714    .0460818
          5  |   .0245671    .060917     0.40   0.687    -.0952886    .1444228
          6  |  -.0534842   .0557792    -0.96   0.338    -.1632311    .0562626
          7  |  -.0106033   .0851124    -0.12   0.901    -.1780639    .1568574
          8  |   .0172279   .0851124     0.20   0.840    -.1502327    .1846885
          9  |  -.0189716   .0645113    -0.29   0.769    -.1458992     .107956
         10  |          0  (empty)
         11  |  -.1130501   .0535484    -2.11   0.036    -.2184077   -.0076924
         12  |   .0799362   .0611807     1.31   0.192    -.0404384    .2003107
             |
  year_group |
          5  |  -.2309737          .        .       .            .           .
          6  |   .3143402   .5446704     0.58   0.564    -.7573116    1.385992
          7  |  -.6782407   .5547654    -1.22   0.222    -1.769755    .4132732
          8  |  -.5757284   .5446704    -1.06   0.291     -1.64738    .4959234
          9  |  -.5448123   .5449362    -1.00   0.318    -1.616987    .5273625
         10  |  -.6286612   .5452226    -1.15   0.250    -1.701399    .4440771
         11  |  -.7545546   .5447351    -1.39   0.167    -1.826334    .3172245
         12  |  -.7578214   .5445806    -1.39   0.165    -1.829297    .3136538
         13  |  -.7369482   .5450881    -1.35   0.177    -1.809422    .3355254
             |
       _cons |   .9313147   .5384829     1.73   0.085     -.128163    1.990792
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,242    .2892376    .5149733          0   3.937431
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(16, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9731
                                                    Adj R-squared     = 0.9638
                                                    Root MSE          = 0.1006

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0021515   .0184196     0.12   0.907    -.0340895    .0383926
             |
 scale_group |
          2  |   .0003436   .0207252     0.02   0.987    -.0404337    .0411209
          3  |          0  (omitted)
          4  |   .0133133   .0177894     0.75   0.455    -.0216878    .0483143
          5  |  -.0138474   .0279695    -0.50   0.621     -.068878    .0411832
          6  |   .0384939   .0365791     1.05   0.293    -.0334764    .1104642
          7  |  -.0615402   .0382358    -1.61   0.109    -.1367701    .0136896
          8  |   -.050323   .0382358    -1.32   0.189    -.1255528    .0249068
          9  |     .01152   .0234706     0.49   0.624     -.034659    .0576991
         10  |          0  (empty)
         11  |   .0333277   .0308724     1.08   0.281    -.0274145    .0940699
         12  |  -.0149823   .0121777    -1.23   0.220    -.0389423    .0089777
             |
  year_group |
          5  |  -.2119614          .        .       .            .           .
          6  |   .0363893   .0272714     1.33   0.183    -.0172678    .0900464
          7  |   .0156482   .0336407     0.47   0.642    -.0505407    .0818371
          8  |   .0173036   .0272714     0.63   0.526    -.0363535    .0709607
          9  |   .0411239   .0318352     1.29   0.197    -.0215126    .1037605
         10  |   .0139038    .029035     0.48   0.632    -.0432233    .0710309
         11  |   .0176403   .0340499     0.52   0.605    -.0493537    .0846343
         12  |   .0522646   .0374635     1.40   0.164    -.0214457    .1259749
         13  |   .0359915   .0389445     0.92   0.356    -.0406327    .1126158
             |
       _cons |   .2910187   .0361505     8.05   0.000     .2198918    .3621457
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,242    .3112323    .5203001          0   3.086097
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(16, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9664
                                                    Adj R-squared     = 0.9549
                                                    Root MSE          = 0.1126

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0374976   .0265996    -1.41   0.160    -.0898329    .0148377
             |
 scale_group |
          2  |  -.1320885   .0695404    -1.90   0.058    -.2689109    .0047339
          3  |          0  (omitted)
          4  |   -.009579   .0149463    -0.64   0.522    -.0389862    .0198281
          5  |  -.0179105   .0209147    -0.86   0.392    -.0590607    .0232397
          6  |  -.0353833   .0246868    -1.43   0.153    -.0839552    .0131885
          7  |  -.0620085   .0308506    -2.01   0.045    -.1227079   -.0013092
          8  |  -.0620085   .0308506    -2.01   0.045    -.1227079   -.0013092
          9  |  -.0071697   .0300217    -0.24   0.811    -.0662381    .0518988
         10  |          0  (empty)
         11  |   .0068909    .031324     0.22   0.826    -.0547398    .0685215
         12  |  -.0826361   .0576126    -1.43   0.152    -.1959902     .030718
             |
  year_group |
          5  |  -.3006249          .        .       .            .           .
          6  |  -.6878326   .0366163   -18.78   0.000     -.759876   -.6157893
          7  |  -.5616552   .0616384    -9.11   0.000    -.6829301   -.4403803
          8  |  -.5818658   .0366163   -15.89   0.000    -.6539091   -.5098224
          9  |  -.5753664   .0409125   -14.06   0.000    -.6558627   -.4948701
         10  |  -.5633728   .0404558   -13.93   0.000    -.6429705   -.4837751
         11  |  -.5729518    .040505   -14.15   0.000    -.6526464   -.4932572
         12  |  -.5824035   .0414853   -14.04   0.000    -.6640268   -.5007802
         13  |  -.5474356   .0467534   -11.71   0.000    -.6394241   -.4554472
             |
       _cons |   .9372804   .0455508    20.58   0.000     .8476581    1.026903
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,242    .3009083    .5194455          0   3.047162
(748 missing values generated)
(748 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,242
Absorbed variable: factor_pair                      No. of categories =    300
                                                    F(17, 315)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7864
                                                    Adj R-squared     = 0.7128
                                                    Root MSE          = 0.2881

                        (Std. err. adjusted for 316 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0066877   .0624957     0.11   0.915     -.116274    .1296495
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1265706   .0994646     1.27   0.204    -.0691284    .3222695
          4  |  -.1624589   .0449071    -3.62   0.000    -.2508146   -.0741032
          5  |  -.1679667   .0678571    -2.48   0.014    -.3014772   -.0344562
          6  |  -.1845222   .0718887    -2.57   0.011    -.3259649   -.0430794
          7  |  -.2135148   .0962587    -2.22   0.027    -.4029061   -.0241234
          8  |  -.2116291   .0962587    -2.20   0.029    -.4010204   -.0222377
          9  |  -.0338873   .0917149    -0.37   0.712    -.2143385    .1465638
         10  |          0  (empty)
         11  |  -.1463079   .0803931    -1.82   0.070    -.3044832    .0118673
         12  |   .1670883   .0575881     2.90   0.004     .0537823    .2803942
             |
  year_group |
          5  |  -.2753811   6.87e-08 -4.0e+06   0.000    -.2753813    -.275381
          6  |   .0725596   .4642374     0.16   0.876    -.8408384    .9859577
          7  |  -.4794074    .480889    -1.00   0.320    -1.425568     .466753
          8  |  -.5669949   .4642374    -1.22   0.223    -1.480393    .3464031
          9  |    -.54873   .4642279    -1.18   0.238    -1.462109    .3646493
         10  |  -.5372846   .4655158    -1.15   0.249    -1.453198    .3786286
         11  |  -.6034861   .4654946    -1.30   0.196    -1.519358    .3123854
         12  |  -.5407503   .4663377    -1.16   0.247    -1.458281    .3767801
         13  |  -.4228599   .4680787    -0.90   0.367    -1.343816    .4980959
             |
       _cons |   .9560698   .4620806     2.07   0.039     .0469153    1.865224
------------------------------------------------------------------------------
(748 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,242         755           0        755        755

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,242    .3404027    .5228297          0   3.900481

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(712 missing values generated)
(712 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,278
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7828
                                                    Adj R-squared     = 0.7099
                                                    Root MSE          = 0.2222

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0396026   .0533593     0.74   0.459    -.0653731    .1445783
             |
 scale_group |
          2  |    .077457   .1124143     0.69   0.491    -.1436996    .2986135
          3  |          0  (omitted)
          4  |   .1772385    .052126     3.40   0.001     .0746891    .2797878
          5  |   .1238357   .0453939     2.73   0.007     .0345307    .2131408
          6  |   .2083604   .0727378     2.86   0.004     .0652607    .3514601
          7  |   .1957428   .0578017     3.39   0.001     .0820274    .3094581
          8  |          0  (empty)
          9  |   .0934506   .0774053     1.21   0.228    -.0588315    .2457327
         10  |   .1825658   .1003052     1.82   0.070    -.0147683    .3798998
         11  |   .2757598   .0717453     3.84   0.000     .1346126    .4169069
         12  |   .1101356   .1181013     0.93   0.352    -.1222093    .3424805
             |
  year_group |
          5  |    .060895   .0066305     9.18   0.000     .0478506    .0739394
          6  |  -.1689629   .1739716    -0.97   0.332    -.5112235    .1732977
          7  |    .139829   .1661877     0.84   0.401    -.1871179    .4667759
          8  |   .0810345   .1477763     0.55   0.584    -.2096911      .37176
          9  |   .1230983   .1526624     0.81   0.421    -.1772399    .4234365
         10  |   .1928555   .1570905     1.23   0.220    -.1161943    .5019052
         11  |   .2116604   .1602013     1.32   0.187    -.1035092    .5268301
         12  |   .2399248   .1605498     1.49   0.136    -.0759306    .5557802
         13  |   .1968019   .1601693     1.23   0.220    -.1183048    .5119087
             |
       _cons |  -.1115996    .165526    -0.67   0.501    -.4372447    .2140456
------------------------------------------------------------------------------
(712 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,278         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,278    .2278008    .4110757          0   2.814636
(712 missing values generated)
(712 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,278
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8408
                                                    Adj R-squared     = 0.7874
                                                    Root MSE          = 0.1976

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0572533   .0406356    -1.41   0.160    -.1371972    .0226905
             |
 scale_group |
          2  |   .0729532   .0428255     1.70   0.089    -.0112988    .1572053
          3  |          0  (omitted)
          4  |   .1110068   .0330834     3.36   0.001     .0459208    .1760929
          5  |   .0480476   .0298003     1.61   0.108    -.0105797    .1066748
          6  |   .0116249   .0529247     0.22   0.826    -.0924958    .1157456
          7  |   .0709868   .0345459     2.05   0.041     .0030235    .1389501
          8  |          0  (empty)
          9  |   .0711667   .0379787     1.87   0.062    -.0035501    .1458834
         10  |   .0776759   .0485595     1.60   0.111    -.0178568    .1732086
         11  |   .0723589   .0474654     1.52   0.128    -.0210216    .1657394
         12  |   .0599182   .0385373     1.55   0.121    -.0158975    .1357339
             |
  year_group |
          5  |  -.4401442   4.28e-08 -1.0e+07   0.000    -.4401442   -.4401441
          6  |  -.3798869   .1722886    -2.20   0.028    -.7188364   -.0409374
          7  |  -.3873524   .1095357    -3.54   0.000    -.6028459   -.1718589
          8  |  -.3143969   .1017654    -3.09   0.002    -.5146037   -.1141901
          9  |  -.3076317   .1018892    -3.02   0.003    -.5080819   -.1071814
         10  |  -.2309574   .1006261    -2.30   0.022    -.4289227   -.0329922
         11  |  -.2197538   .1047714    -2.10   0.037    -.4258742   -.0136334
         12  |  -.2399211   .1048175    -2.29   0.023    -.4461324   -.0337099
         13  |  -.1698217   .1127931    -1.51   0.133    -.3917236    .0520801
             |
       _cons |   .4468743    .103583     4.31   0.000     .2430919    .6506568
------------------------------------------------------------------------------
(712 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,278         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,278    .2330346    .4246679          0   2.961048
(712 missing values generated)
(712 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,278
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8149
                                                    Adj R-squared     = 0.7528
                                                    Root MSE          = 0.1911

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .033364   .0454636     0.73   0.464    -.0560781    .1228061
             |
 scale_group |
          2  |  -.0282025   .0797329    -0.35   0.724    -.1850639    .1286589
          3  |          0  (omitted)
          4  |   .0365525    .042611     0.86   0.392    -.0472776    .1203826
          5  |  -.0006415   .0383349    -0.02   0.987     -.076059    .0747761
          6  |  -.0218077   .0610586    -0.36   0.721    -.1419305    .0983151
          7  |   .0353033   .0410442     0.86   0.390    -.0454443     .116051
          8  |          0  (empty)
          9  |   .0042146   .0522154     0.08   0.936    -.0985106    .1069399
         10  |   .1316887   .0545004     2.42   0.016     .0244681    .2389092
         11  |   .0265072   .0515075     0.51   0.607    -.0748254    .1278398
         12  |  -.0512137   .0635275    -0.81   0.421    -.1761937    .0737662
             |
  year_group |
          5  |   .2804324   .0632165     4.44   0.000     .1560644    .4048005
          6  |  -.0690708   .1528895    -0.45   0.652    -.3698558    .2317142
          7  |  -.1277356   .1039361    -1.23   0.220    -.3322128    .0767415
          8  |  -.0562791   .1034771    -0.54   0.587    -.2598533    .1472951
          9  |  -.1256054   .1000944    -1.25   0.210    -.3225246    .0713138
         10  |  -.1429289   .0990337    -1.44   0.150    -.3377614    .0519037
         11  |  -.1411478   .0997456    -1.42   0.158    -.3373808    .0550852
         12  |  -.1046356   .1029479    -1.02   0.310    -.3071687    .0978975
         13  |  -.0701521   .1008748    -0.70   0.487    -.2686066    .1283024
             |
       _cons |   .3374839   .1063731     3.17   0.002     .1282123    .5467556
------------------------------------------------------------------------------
(712 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,278         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,278    .2422949    .3850927          0   2.615592
(712 missing values generated)
(712 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,278
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6543
                                                    Adj R-squared     = 0.5383
                                                    Root MSE          = 0.1874

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0284784   .0330891    -0.86   0.390    -.0935757    .0366189
             |
 scale_group |
          2  |   .2010964   .0747333     2.69   0.007     .0540709    .3481218
          3  |          0  (omitted)
          4  |   .0633965   .0362868     1.75   0.082    -.0079918    .1347848
          5  |   .0699241    .030135     2.32   0.021     .0106385    .1292097
          6  |   .0438239   .0498536     0.88   0.380    -.0542548    .1419027
          7  |   -.020435   .0425778    -0.48   0.632    -.1041998    .0633298
          8  |          0  (empty)
          9  |  -.0006574   .0428751    -0.02   0.988    -.0850071    .0836923
         10  |   .0034619    .038866     0.09   0.929    -.0730006    .0799245
         11  |   .0677088   .0435638     1.55   0.121    -.0179958    .1534134
         12  |   .1147497    .055069     2.08   0.038     .0064105    .2230889
             |
  year_group |
          5  |   .1938895   .0167348    11.59   0.000     .1609665    .2268125
          6  |   .4118076   .1240449     3.32   0.001     .1677697    .6558455
          7  |   .2764564   .1359391     2.03   0.043     .0090186    .5438943
          8  |   .2069995   .1312627     1.58   0.116    -.0512382    .4652372
          9  |   .2239029   .1326049     1.69   0.092    -.0369755    .4847812
         10  |   .2030984     .13423     1.51   0.131     -.060977    .4671738
         11  |   .2586263   .1351118     1.91   0.056    -.0071839    .5244365
         12  |    .233088   .1339525     1.74   0.083    -.0304415    .4966175
         13  |     .22434   .1351729     1.66   0.098    -.0415905    .4902704
             |
       _cons |  -.1594512   .1373781    -1.16   0.247    -.4297201    .1108176
------------------------------------------------------------------------------
(712 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,278         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,278    .1323534    .2719656          0   2.417973
(712 missing values generated)
(712 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,278
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(17, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7714
                                                    Adj R-squared     = 0.6947
                                                    Root MSE          = 0.2756

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1024666   .0527765     1.94   0.053    -.0013625    .2062957
             |
 scale_group |
          2  |  -.1025952    .090832    -1.13   0.260    -.2812921    .0761017
          3  |          0  (omitted)
          4  |   .0431537     .05687     0.76   0.449    -.0687288    .1550362
          5  |   .0859808   .0522349     1.65   0.101    -.0167826    .1887443
          6  |  -.0158064   .0874229    -0.18   0.857    -.1877966    .1561838
          7  |   .0564677   .0601732     0.94   0.349    -.0619132    .1748486
          8  |          0  (empty)
          9  |   .0443552   .1079774     0.41   0.682    -.1680725    .2567829
         10  |  -.0057663     .07431    -0.08   0.938     -.151959    .1404264
         11  |  -.0294784   .0656137    -0.45   0.654    -.1585625    .0996057
         12  |  -.0149073   .0525918    -0.28   0.777    -.1183731    .0885585
             |
  year_group |
          5  |  -.0584455          .        .       .            .           .
          6  |   .4297072   .2862796     1.50   0.134    -.1335008    .9929152
          7  |   -.044209   .1606085    -0.28   0.783    -.3601799    .2717619
          8  |   .0612704    .130326     0.47   0.639    -.1951245    .3176653
          9  |  -.0045489   .1222954    -0.04   0.970    -.2451449    .2360471
         10  |  -.0365399   .1278026    -0.29   0.775    -.2879705    .2148908
         11  |  -.1734787   .1293076    -1.34   0.181    -.4278701    .0809126
         12  |  -.1558198   .1310866    -1.19   0.235    -.4137113    .1020716
         13  |  -.1286027   .1312908    -0.98   0.328    -.3868958    .1296903
             |
       _cons |    .296544   .1353027     2.19   0.029     .0303581    .5627298
------------------------------------------------------------------------------
(712 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,278         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,278    .2777461    .4937435          0   3.576949
(712 missing values generated)
(712 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,278
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9743
                                                    Adj R-squared     = 0.9657
                                                    Root MSE          = 0.0924

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0070734   .0166441     0.42   0.671    -.0256712     .039818
             |
 scale_group |
          2  |  -.0073513   .0235182    -0.31   0.755    -.0536196    .0389169
          3  |          0  (omitted)
          4  |   .0066572   .0225314     0.30   0.768    -.0376696    .0509841
          5  |  -.0143706   .0168748    -0.85   0.395     -.047569    .0188279
          6  |   .0014313   .0370382     0.04   0.969    -.0714354    .0742979
          7  |  -.0351304   .0264486    -1.33   0.185    -.0871636    .0169027
          8  |          0  (empty)
          9  |   .0177059   .0244505     0.72   0.469    -.0303964    .0658083
         10  |  -.0612899   .0524268    -1.17   0.243    -.1644311    .0418513
         11  |   .0036142   .0280707     0.13   0.898    -.0516103    .0588386
         12  |  -.0221944   .0183968    -1.21   0.229     -.058387    .0139983
             |
  year_group |
          5  |  -.1580702   .0038221   -41.36   0.000    -.1655895    -.150551
          6  |   .0050717     .06315     0.08   0.936    -.1191656    .1293089
          7  |   -.051431    .037796    -1.36   0.175    -.1257884    .0229265
          8  |  -.0604616   .0328502    -1.84   0.067    -.1250889    .0041658
          9  |  -.0617966   .0333472    -1.85   0.065    -.1274017    .0038086
         10  |  -.0797039   .0332307    -2.40   0.017    -.1450798   -.0143279
         11  |  -.0705143   .0375677    -1.88   0.061    -.1444227     .003394
         12  |  -.0672223   .0364501    -1.84   0.066    -.1389319    .0044872
         13  |  -.0502348   .0396439    -1.27   0.206    -.1282277    .0277581
             |
       _cons |   .3863124   .0390279     9.90   0.000     .3095315    .4630934
------------------------------------------------------------------------------
(712 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,278         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,278    .2995051    .4853963          0   2.938442
(712 missing values generated)
(712 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,278
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9488
                                                    Adj R-squared     = 0.9316
                                                    Root MSE          = 0.1296

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.056277   .0277393    -2.03   0.043    -.1108495   -.0017045
             |
 scale_group |
          2  |  -.1984496   .0673816    -2.95   0.003    -.3310118   -.0658874
          3  |          0  (omitted)
          4  |  -.0253863    .028558    -0.89   0.375    -.0815695    .0307969
          5  |  -.0219413   .0218934    -1.00   0.317    -.0650129    .0211304
          6  |  -.0341286   .0386251    -0.88   0.378    -.1101172    .0418599
          7  |  -.0327594   .0295691    -1.11   0.269    -.0909317    .0254128
          8  |          0  (empty)
          9  |  -.0109027   .0457626    -0.24   0.812     -.100933    .0791276
         10  |  -.0506746   .0359161    -1.41   0.159    -.1213337    .0199845
         11  |  -.0208053   .0437264    -0.48   0.635    -.1068298    .0652191
         12  |  -.1197457   .0473821    -2.53   0.012    -.2129622   -.0265293
             |
  year_group |
          5  |  -.2889101   2.17e-08 -1.3e+07   0.000    -.2889101     -.28891
          6  |  -.7688223   .1462351    -5.26   0.000    -1.056516   -.4811287
          7  |   -.928563   .1430214    -6.49   0.000    -1.209934    -.647192
          8  |  -.8749439   .1401181    -6.24   0.000    -1.150603   -.5992846
          9  |  -.8926229   .1379522    -6.47   0.000    -1.164021   -.6212246
         10  |   -.879587   .1353991    -6.50   0.000    -1.145962   -.6132115
         11  |  -.8662396   .1368558    -6.33   0.000    -1.135481   -.5969983
         12  |  -.8525313   .1368027    -6.23   0.000    -1.121668   -.5833944
         13  |   -.891539   .1381278    -6.45   0.000    -1.163283   -.6197953
             |
       _cons |   1.257151   .1363911     9.22   0.000      .988824    1.525478
------------------------------------------------------------------------------
(712 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,278         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,278    .2965636    .4916746          0   3.271727
(712 missing values generated)
(712 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,278
Absorbed variable: factor_pair                      No. of categories =    303
                                                    F(18, 323)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9296
                                                    Adj R-squared     = 0.9059
                                                    Root MSE          = 0.1464

                        (Std. err. adjusted for 324 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0395844   .0283124     1.40   0.163    -.0161156    .0952844
             |
 scale_group |
          2  |  -.0479942   .0456108    -1.05   0.293    -.1377259    .0417375
          3  |          0  (omitted)
          4  |   .0201855   .0321627     0.63   0.531    -.0430894    .0834603
          5  |   .0271858   .0287149     0.95   0.344     -.029306    .0836776
          6  |   .0208684    .053365     0.39   0.696    -.0841185    .1258553
          7  |   .0218721   .0338094     0.65   0.518    -.0446424    .0883865
          8  |          0  (empty)
          9  |   .0216089   .0525119     0.41   0.681    -.0816995    .1249174
         10  |   -.030705   .0591734    -0.52   0.604    -.1471189    .0857089
         11  |  -.0115856   .0392942    -0.29   0.768    -.0888906    .0657193
         12  |   .0005414   .0276106     0.02   0.984    -.0537778    .0548606
             |
  year_group |
          5  |  -.1293693   .0009869  -131.09   0.000    -.1313108   -.1274279
          6  |   .1364303   .1099504     1.24   0.216    -.0798791    .3527396
          7  |  -.0585374   .0756434    -0.77   0.440    -.2073535    .0902786
          8  |  -.0168702   .0574177    -0.29   0.769    -.1298302    .0960898
          9  |  -.0681262   .0537758    -1.27   0.206    -.1739213    .0376689
         10  |  -.0765169   .0579802    -1.32   0.188    -.1905835    .0375496
         11  |  -.1266757   .0584793    -2.17   0.031    -.2417242   -.0116272
         12  |  -.1028626   .0596669    -1.72   0.086    -.2202475    .0145222
         13  |  -.0854881   .0605329    -1.41   0.159    -.2045766    .0336004
             |
       _cons |   .3580039   .0642735     5.57   0.000     .2315563    .4844515
------------------------------------------------------------------------------
(712 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,278         777           0        777        777

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,278    .2896671    .4660792          0    2.21964

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,178
Absorbed variable: factor_pair                    No. of categories =      304
                                                  F(17, 316)        = 3.83e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7701
                                                  Adj R-squared     =   0.6843
                                                  Root MSE          =   0.2324

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0032343   .0550872    -0.06   0.953    -.1116182    .1051497
             |
 scale_group |
          1  |          0  (empty)
          2  |   -.293392   .0457836    -6.41   0.000    -.3834712   -.2033128
          3  |          0  (omitted)
          4  |   -.004461   .0726764    -0.06   0.951    -.1474519    .1385298
          5  |  -.0572295   .0833407    -0.69   0.493    -.2212023    .1067434
          6  |  -.0445113   .0891398    -0.50   0.618    -.2198939    .1308713
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |  -.0475305   .0839119    -0.57   0.572    -.2126271    .1175661
         10  |          0  (empty)
         11  |    .076508   .0808546     0.95   0.345    -.0825733    .2355893
         12  |  -.2121161   .0320592    -6.62   0.000    -.2751926   -.1490395
             |
  year_group |
          5  |   .0604784   7.50e-08  8.1e+05   0.000     .0604783    .0604786
          6  |  -.2913513   .1802426    -1.62   0.107    -.6459785    .0632759
          7  |   .1218667    .163807     0.74   0.457    -.2004234    .4441568
          8  |   .1258558   .1446252     0.87   0.385    -.1586943    .4104058
          9  |   .1571071   .1517944     1.03   0.301    -.1415483    .4557625
         10  |   .2095124   .1535508     1.36   0.173    -.0925988    .5116236
         11  |    .246118   .1607854     1.53   0.127    -.0702272    .5624632
         12  |    .243145   .1579907     1.54   0.125    -.0677016    .5539916
         13  |   .2447368    .159189     1.54   0.125    -.0684675    .5579411
             |
       _cons |    .087674   .1624692     0.54   0.590    -.2319841     .407332
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,178    .2234226    .4177427          0   3.134976
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 316)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8270
                                                    Adj R-squared     = 0.7624
                                                    Root MSE          = 0.2091

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0006673   .0462921     0.01   0.989    -.0904123    .0917468
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0392147   .0349257    -1.12   0.262     -.107931    .0295017
          3  |          0  (omitted)
          4  |   .0240201   .0398988     0.60   0.548    -.0544807    .1025209
          5  |  -.0073816   .0404171    -0.18   0.855    -.0869022     .072139
          6  |   -.039275   .0664786    -0.59   0.555    -.1700717    .0915216
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |  -.0044237    .041469    -0.11   0.915     -.086014    .0771666
         10  |          0  (empty)
         11  |   .0261394    .057795     0.45   0.651    -.0875722    .1398509
         12  |   .0395699   .0329168     1.20   0.230    -.0251938    .1043336
             |
  year_group |
          5  |  -.4038951          .        .       .            .           .
          6  |  -.3326399   .1882686    -1.77   0.078    -.7030583    .0377785
          7  |  -.3619197   .0967475    -3.74   0.000    -.5522704   -.1715691
          8  |  -.3051562   .0869163    -3.51   0.001     -.476164   -.1341483
          9  |  -.2840357   .0876581    -3.24   0.001    -.4565029   -.1115684
         10  |  -.2077656    .086873    -2.39   0.017    -.3786882    -.036843
         11  |  -.1495999   .0972245    -1.54   0.125     -.340889    .0416891
         12  |  -.2275649   .0932871    -2.44   0.015    -.4111072   -.0440226
         13  |  -.1115496   .1092134    -1.02   0.308    -.3264269    .1033278
             |
       _cons |   .4692823   .0922007     5.09   0.000     .2878775     .650687
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,178    .2487027    .4242045          0   2.843086
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,178
Absorbed variable: factor_pair                    No. of categories =      304
                                                  F(17, 316)        = 1.47e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7708
                                                  Adj R-squared     =   0.6852
                                                  Root MSE          =   0.1843

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0208554   .0360964     0.58   0.564    -.0501642    .0918749
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1273042   .0504038     2.53   0.012     .0281347    .2264737
          3  |          0  (omitted)
          4  |   .0795349   .0327684     2.43   0.016     .0150631    .1440067
          5  |   .0408773   .0345054     1.18   0.237    -.0270121    .1087667
          6  |   .0022832   .0654309     0.03   0.972     -.126452    .1310185
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0265891    .040706     0.65   0.514    -.0534999    .1066782
         10  |          0  (empty)
         11  |   .0789474   .0453556     1.74   0.083    -.0102897    .1681846
         12  |   .1152512   .0459503     2.51   0.013      .024844    .2056583
             |
  year_group |
          5  |   .2015321   4.03e-08  5.0e+06   0.000      .201532    .2015322
          6  |  -.2696539   .1343399    -2.01   0.046    -.5339675   -.0053402
          7  |  -.2852942   .0957014    -2.98   0.003    -.4735867   -.0970017
          8  |  -.2152168    .080866    -2.66   0.008    -.3743206   -.0561129
          9  |  -.2840859   .0795487    -3.57   0.000    -.4405979   -.1275738
         10  |  -.2923819   .0784096    -3.73   0.000    -.4466528    -.138111
         11  |  -.2937575   .0821288    -3.58   0.000    -.4553459   -.1321691
         12  |  -.2428492   .0857149    -2.83   0.005    -.4114931   -.0742053
         13  |  -.2608475   .0834598    -3.13   0.002    -.4250545   -.0966404
             |
       _cons |   .3948334   .0805197     4.90   0.000     .2364109    .5532558
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,178    .2263626    .3479378          0   2.640233
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,178
Absorbed variable: factor_pair                    No. of categories =      304
                                                  F(17, 316)        = 4.54e+11
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.6120
                                                  Adj R-squared     =   0.4671
                                                  Root MSE          =   0.1821

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0077024   .0334689     0.23   0.818    -.0581476    .0735523
             |
 scale_group |
          1  |          0  (empty)
          2  |   .1187116   .0361755     3.28   0.001     .0475363    .1898869
          3  |          0  (omitted)
          4  |   .1169524   .0490904     2.38   0.018     .0203672    .2135377
          5  |   .0868996   .0511765     1.70   0.090    -.0137902    .1875893
          6  |    .104395   .0518614     2.01   0.045     .0023578    .2064322
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |  -.0004188   .0556809    -0.01   0.994     -.109971    .1091334
         10  |          0  (empty)
         11  |   .1725386   .0584378     2.95   0.003     .0575621     .287515
         12  |    .006503   .0372451     0.17   0.862    -.0667767    .0797826
             |
  year_group |
          5  |    .151178   5.44e-08  2.8e+06   0.000     .1511779    .1511781
          6  |   .3447491   .1118706     3.08   0.002     .1246436    .5648545
          7  |   .2607744   .1418742     1.84   0.067    -.0183631     .539912
          8  |   .1606839   .1208968     1.33   0.185    -.0771805    .3985482
          9  |   .1877221   .1221359     1.54   0.125    -.0525803    .4280245
         10  |   .1537226   .1238731     1.24   0.216    -.0899977    .3974429
         11  |   .1843755   .1239468     1.49   0.138    -.0594898    .4282409
         12  |   .1651147   .1233307     1.34   0.182    -.0775384    .4077678
         13  |   .1655448   .1240355     1.33   0.183     -.078495    .4095846
             |
       _cons |  -.1553131   .1260609    -1.23   0.219    -.4033378    .0927115
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,178    .0991194    .2380607          0   2.394651
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,178
Absorbed variable: factor_pair                    No. of categories =      304
                                                  F(17, 316)        = 1.31e+10
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.7873
                                                  Adj R-squared     =   0.7079
                                                  Root MSE          =   0.2488

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0389498    .034727     1.12   0.263    -.0293755    .1072751
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0663139   .1077941    -0.62   0.539    -.2783987    .1457709
          3  |          0  (omitted)
          4  |   .0210108   .0466937     0.45   0.653     -.070859    .1128806
          5  |   .0888936   .0543928     1.63   0.103    -.0181241    .1959114
          6  |  -.0941646   .0603575    -1.56   0.120    -.2129179    .0245887
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0300839    .068753     0.44   0.662    -.1051876    .1653554
         10  |          0  (empty)
         11  |  -.0617294   .0519526    -1.19   0.236     -.163946    .0404873
         12  |   .0144093   .0982559     0.15   0.884    -.1789091    .2077276
             |
  year_group |
          5  |   -.047645   1.01e-07 -4.7e+05   0.000    -.0476452   -.0476448
          6  |   .5205787    .428282     1.22   0.225     -.322066    1.363223
          7  |   -.219897   .1719356    -1.28   0.202    -.5581803    .1183862
          8  |  -.0604315   .1502036    -0.40   0.688    -.3559569     .235094
          9  |   .0047765   .1427963     0.03   0.973    -.2761752    .2857282
         10  |   .0123161    .146587     0.08   0.933    -.2760938     .300726
         11  |  -.1033471     .14945    -0.69   0.490    -.3973898    .1906957
         12  |  -.1380057   .1514526    -0.91   0.363    -.4359886    .1599771
         13  |  -.1013731   .1523753    -0.67   0.506    -.4011716    .1984253
             |
       _cons |   .2791679    .148901     1.87   0.062    -.0137946    .5721305
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,178    .2546721    .4763428          0   3.623873
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,178
Absorbed variable: factor_pair                      No. of categories =    304
                                                    F(16, 316)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9656
                                                    Adj R-squared     = 0.9528
                                                    Root MSE          = 0.1038

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .017802   .0206971     0.86   0.390    -.0229195    .0585235
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0545062   .0364861    -1.49   0.136    -.1262926    .0172802
          3  |          0  (omitted)
          4  |   .0629669   .0256487     2.45   0.015     .0125031    .1134308
          5  |   .0404577   .0294423     1.37   0.170    -.0174699    .0983853
          6  |   .1352793   .0748515     1.81   0.072     -.011991    .2825495
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0546499   .0356055     1.53   0.126    -.0154039    .1247037
         10  |          0  (empty)
         11  |   .0718897   .0395159     1.82   0.070    -.0058579    .1496373
         12  |  -.0563607    .033282    -1.69   0.091    -.1218431    .0091217
             |
  year_group |
          5  |   -.173963          .        .       .            .           .
          6  |  -.0195976    .051801    -0.38   0.705     -.121516    .0823208
          7  |  -.0584544   .0453066    -1.29   0.198    -.1475952    .0306863
          8  |  -.0516073   .0372089    -1.39   0.166    -.1248158    .0216012
          9  |  -.0573789   .0379707    -1.51   0.132    -.1320862    .0173284
         10  |  -.0721814   .0381658    -1.89   0.060    -.1472726    .0029099
         11  |  -.0468179   .0436275    -1.07   0.284    -.1326549    .0390191
         12  |  -.0499993   .0432689    -1.16   0.249    -.1351308    .0351322
         13  |  -.0548144   .0446571    -1.23   0.221    -.1426772    .0330484
             |
       _cons |    .316509   .0442423     7.15   0.000     .2294623    .4035556
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,178    .2941181    .4770929          0   3.133906
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,178
Absorbed variable: factor_pair                    No. of categories =      304
                                                  F(17, 316)        = 7.47e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9505
                                                  Adj R-squared     =   0.9320
                                                  Root MSE          =   0.1227

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0099199   .0223522    -0.44   0.657    -.0538978    .0340581
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.1751143   .1265965    -1.38   0.168    -.4241928    .0739642
          3  |          0  (omitted)
          4  |   .0057356    .017582     0.33   0.744    -.0288569    .0403282
          5  |  -.0107477   .0210303    -0.51   0.610    -.0521249    .0306295
          6  |   .0147442   .0260021     0.57   0.571    -.0364149    .0659033
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0131297   .0273299     0.48   0.631    -.0406419    .0669014
         10  |          0  (empty)
         11  |   .0258056   .0278096     0.93   0.354    -.0289098     .080521
         12  |  -.1425906   .1150145    -1.24   0.216    -.3688816    .0837004
             |
  year_group |
          5  |  -.3480665   3.09e-08 -1.1e+07   0.000    -.3480666   -.3480664
          6  |  -1.038132    .165286    -6.28   0.000    -1.363332   -.7129315
          7  |  -1.047652   .1841462    -5.69   0.000     -1.40996   -.6853445
          8  |  -1.014192   .1838654    -5.52   0.000    -1.375947    -.652437
          9  |  -1.026658   .1845043    -5.56   0.000     -1.38967    -.663646
         10  |  -1.019583   .1790418    -5.69   0.000    -1.371848   -.6673186
         11  |  -1.009136   .1812319    -5.57   0.000    -1.365709   -.6525619
         12  |  -1.005996   .1807548    -5.57   0.000    -1.361631   -.6503613
         13  |  -.9839608   .1819042    -5.41   0.000    -1.341857   -.6260643
             |
       _cons |   1.336626   .1787819     7.48   0.000     .9848727    1.688379
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,178    .2863378    .4725042          0   3.094415
(812 missing values generated)
(812 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,178
Absorbed variable: factor_pair                    No. of categories =      304
                                                  F(17, 316)        = 2.19e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.9533
                                                  Adj R-squared     =   0.9359
                                                  Root MSE          =   0.1107

                        (Std. err. adjusted for 317 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0279852   .0151042     1.85   0.065    -.0017323    .0577028
             |
 scale_group |
          1  |          0  (empty)
          2  |  -.0143052   .0690989    -0.21   0.836    -.1502573    .1216469
          3  |          0  (omitted)
          4  |   .0567976   .0205131     2.77   0.006     .0164382     .097157
          5  |   .0778515   .0263146     2.96   0.003     .0260776    .1296254
          6  |   .0415355   .0452619     0.92   0.359    -.0475172    .1305882
          7  |          0  (omitted)
          8  |          0  (empty)
          9  |   .0452761   .0343097     1.32   0.188    -.0222282    .1127805
         10  |          0  (empty)
         11  |    .034234   .0275572     1.24   0.215    -.0199847    .0884527
         12  |   .0126492   .0658778     0.19   0.848    -.1169654    .1422638
             |
  year_group |
          5  |  -.1171552   1.92e-08 -6.1e+06   0.000    -.1171553   -.1171552
          6  |   .1584566   .1579702     1.00   0.317    -.1523497    .4692629
          7  |  -.0975896   .0740029    -1.32   0.188    -.2431902     .048011
          8  |  -.0614257   .0609725    -1.01   0.314    -.1813891    .0585377
          9  |  -.0300662   .0568887    -0.53   0.598    -.1419947    .0818624
         10  |  -.0185778   .0595153    -0.31   0.755    -.1356741    .0985185
         11  |  -.0644901   .0604991    -1.07   0.287     -.183522    .0545418
         12  |  -.0806284    .061603    -1.31   0.192    -.2018323    .0405754
         13  |  -.0785239   .0631159    -1.24   0.214    -.2027045    .0456566
             |
       _cons |   .2402113   .0617644     3.89   0.000     .1186899    .3617326
------------------------------------------------------------------------------
(812 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,178         747           0        747        747

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,178    .2409787    .4383182          0   2.049216

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(19, 320)        =   6.18
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7780
                                                    Adj R-squared     = 0.6960
                                                    Root MSE          = 0.2226

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0256237   .0440349    -0.58   0.561    -.1122581    .0610107
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1253064   .1233142    -1.02   0.310    -.3679153    .1173025
          4  |   .1045311   .0311841     3.35   0.001     .0431794    .1658828
          5  |   .0142761   .0391533     0.36   0.716    -.0627542    .0913064
          6  |   .0810564   .0499092     1.62   0.105    -.0171353     .179248
          7  |   .1278735    .080564     1.59   0.113    -.0306285    .2863755
          8  |          0  (empty)
          9  |  -.0117299   .0627668    -0.19   0.852    -.1352176    .1117578
         10  |   .0446216   .0649075     0.69   0.492    -.0830777     .172321
         11  |   .1426347   .0436123     3.27   0.001     .0568315    .2284378
         12  |   .0011532   .1012244     0.01   0.991    -.1979962    .2003027
             |
  year_group |
          5  |    .055736   .0071115     7.84   0.000     .0417449    .0697272
          6  |  -.1806773   .0889199    -2.03   0.043    -.3556188   -.0057359
          7  |  -.0228946   .1195553    -0.19   0.848    -.2581082     .212319
          8  |  -.0728867   .0758139    -0.96   0.337    -.2220433    .0762698
          9  |  -.0459764    .056627    -0.81   0.417    -.1573846    .0654318
         10  |    .007298    .066656     0.11   0.913    -.1238414    .1384374
         11  |   .1016415   .0777236     1.31   0.192    -.0512723    .2545552
         12  |   .0931757    .074936     1.24   0.215    -.0542538    .2406052
         13  |   .0079882   .0788534     0.10   0.919    -.1471483    .1631248
             |
       _cons |   .1653124   .0780929     2.12   0.035      .011672    .3189529
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,210    .2282835    .4059087          0   2.786823
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators           Number of obs     =    1,210
Absorbed variable: factor_pair                    No. of categories =      308
                                                  F(19, 320)        = 7.09e+12
                                                  Prob > F          =   0.0000
                                                  R-squared         =   0.8295
                                                  Adj R-squared     =   0.7666
                                                  Root MSE          =   0.2061

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0197909   .0416741     0.47   0.635     -.062199    .1017807
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0165388   .0663849    -0.25   0.803    -.1471447    .1140672
          4  |   .0779962   .0258049     3.02   0.003     .0272275     .128765
          5  |   .0362087   .0228127     1.59   0.113    -.0086731    .0810904
          6  |   .0022934   .0436303     0.05   0.958    -.0835451    .0881319
          7  |   .0632994   .0454913     1.39   0.165    -.0262004    .1527992
          8  |          0  (empty)
          9  |   .0326937   .0267287     1.22   0.222    -.0198925    .0852798
         10  |   .0824365   .0364335     2.26   0.024      .010757     .154116
         11  |   .0393904    .028943     1.36   0.174    -.0175521     .096333
         12  |   .0001948     .04765     0.00   0.997     -.093552    .0939416
             |
  year_group |
          5  |   -.363985   3.14e-08 -1.2e+07   0.000     -.363985   -.3639849
          6  |  -.2449426   .1827418    -1.34   0.181    -.6044697    .1145845
          7  |  -.3206692   .1376721    -2.33   0.020     -.591526   -.0498124
          8  |  -.2239602   .1360899    -1.65   0.101    -.4917041    .0437837
          9  |  -.2415137   .1331139    -1.81   0.071    -.5034027    .0203753
         10  |  -.1634807   .1351498    -1.21   0.227     -.429375    .1024136
         11  |  -.1423123   .1386779    -1.03   0.306     -.415148    .1305233
         12  |  -.2113185   .1364247    -1.55   0.122    -.4797211    .0570842
         13  |  -.1104314    .154349    -0.72   0.475    -.4140984    .1932356
             |
       _cons |   .3967687   .1360835     2.92   0.004     .1290374       .6645
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,210    .2411915    .4166474          0   3.240295
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(19, 320)        =   4.65
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7464
                                                    Adj R-squared     = 0.6527
                                                    Root MSE          = 0.2095

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0251255     .04581     0.55   0.584    -.0650013    .1152523
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0785076   .1080478     0.73   0.468    -.1340662    .2910815
          4  |   .0430429   .0296542     1.45   0.148     -.015299    .1013847
          5  |   .0974351   .0419541     2.32   0.021     .0148943    .1799759
          6  |   .0061258   .0477461     0.13   0.898    -.0878101    .1000617
          7  |   .0010783   .0507819     0.02   0.983    -.0988303    .1009869
          8  |          0  (empty)
          9  |   .0975511   .0567818     1.72   0.087    -.0141618    .2092639
         10  |   .0822266   .0482135     1.71   0.089    -.0126288    .1770821
         11  |    .065915    .040855     1.61   0.108    -.0144634    .1462933
         12  |  -.0520304   .0990782    -0.53   0.600    -.2469573    .1428965
             |
  year_group |
          5  |   .1549113   .0643326     2.41   0.017     .0283429    .2814797
          6  |  -.0882266   .1383025    -0.64   0.524    -.3603236    .1838704
          7  |  -.0368286    .132388    -0.28   0.781    -.2972893    .2236322
          8  |   -.055494   .1200323    -0.46   0.644    -.2916462    .1806581
          9  |  -.1329165   .1091028    -1.22   0.224    -.3475658    .0817328
         10  |  -.0818739   .1136334    -0.72   0.472    -.3054368    .1416889
         11  |  -.0767366    .114092    -0.67   0.502    -.3012017    .1477285
         12  |  -.0402111   .1159446    -0.35   0.729    -.2683211    .1878989
         13  |  -.0701066   .1150231    -0.61   0.543    -.2964037    .1561904
             |
       _cons |   .2496628    .121084     2.06   0.040     .0114415    .4878841
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,210    .2289504    .3572964          0   2.500252
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(19, 320)        =   3.01
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.5346
                                                    Adj R-squared     = 0.3627
                                                    Root MSE          = 0.1992

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0020622   .0400599    -0.05   0.959    -.0808763    .0767518
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2550855   .2226297     1.15   0.253    -.1829174    .6930883
          4  |   .0571098   .0336822     1.70   0.091    -.0091566    .1233763
          5  |   .0483815   .0426671     1.13   0.258    -.0355619    .1323249
          6  |   .0648341   .0413785     1.57   0.118    -.0165741    .1462423
          7  |   .0073486   .0476228     0.15   0.877    -.0863447     .101042
          8  |          0  (empty)
          9  |   .0434012    .036212     1.20   0.232    -.0278425    .1146449
         10  |   .0147848    .043684     0.34   0.735    -.0711594     .100729
         11  |   .0903577   .0382802     2.36   0.019      .015045    .1656704
         12  |  -.0646611   .0354254    -1.83   0.069    -.1343572    .0050351
             |
  year_group |
          5  |   .1111237   .0787384     1.41   0.159    -.0437866     .266034
          6  |    .647817   .1801934     3.60   0.000     .2933035     1.00233
          7  |   .3620413   .1689203     2.14   0.033     .0297068    .6943759
          8  |   .2640364   .1477696     1.79   0.075    -.0266863    .5547591
          9  |   .2118258   .1411164     1.50   0.134    -.0658073     .489459
         10  |    .216421   .1432052     1.51   0.132    -.0653216    .4981637
         11  |   .2135451   .1453836     1.47   0.143    -.0724834    .4995736
         12  |   .1937815   .1439419     1.35   0.179    -.0894105    .4769735
         13  |   .2070929   .1452082     1.43   0.155    -.0785904    .4927763
             |
       _cons |  -.1427527   .1468396    -0.97   0.332    -.4316457    .1461403
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,210    .1015032    .2355813          0   3.230396
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(19, 320)        =   9.69
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.8131
                                                    Adj R-squared     = 0.7441
                                                    Root MSE          = 0.2173

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0484157   .0429909     1.13   0.261    -.0361649    .1329963
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0249068    .093471     0.27   0.790    -.1589885    .2088022
          4  |  -.0322866   .0388511    -0.83   0.407    -.1087225    .0441493
          5  |  -.0020907   .0407301    -0.05   0.959    -.0822234     .078042
          6  |  -.0207107   .0541181    -0.38   0.702    -.1271829    .0857615
          7  |  -.0185262   .0625361    -0.30   0.767    -.1415601    .1045076
          8  |          0  (empty)
          9  |  -.0486535   .0605274    -0.80   0.422    -.1677354    .0704284
         10  |  -.1545041    .063166    -2.45   0.015    -.2787772   -.0302311
         11  |  -.0892142   .0544392    -1.64   0.102    -.1963182    .0178897
         12  |   .0537538    .084617     0.64   0.526    -.1127221    .2202297
             |
  year_group |
          5  |   .0052985   .1078139     0.05   0.961     -.206815     .217412
          6  |   .4515641   .3042671     1.48   0.139    -.1470526    1.050181
          7  |  -.1526216   .2457239    -0.62   0.535    -.6360601    .3308169
          8  |  -.0555289   .2425255    -0.23   0.819    -.5326748     .421617
          9  |  -.0922801   .2335912    -0.40   0.693    -.5518486    .3672883
         10  |   -.100072   .2371247    -0.42   0.673    -.5665923    .3664483
         11  |  -.2436782   .2385918    -1.02   0.308     -.713085    .2257286
         12  |  -.2219124   .2383667    -0.93   0.353    -.6908762    .2470514
         13  |  -.1792203   .2383305    -0.75   0.453     -.648113    .2896724
             |
       _cons |   .3890394   .2354053     1.65   0.099    -.0740981     .852177
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,210    .2426519    .4254996          0    2.62285
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(19, 320)        =   3.17
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9716
                                                    Adj R-squared     = 0.9611
                                                    Root MSE          = 0.0924

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0061197   .0146078     0.42   0.676    -.0226197    .0348592
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0079582    .025177    -0.32   0.752    -.0574916    .0415752
          4  |   .0233031   .0155586     1.50   0.135    -.0073069    .0539131
          5  |   .0022658   .0108119     0.21   0.834    -.0190055    .0235371
          6  |   .0361472   .0233894     1.55   0.123    -.0098693    .0821637
          7  |  -.0287525   .0297218    -0.97   0.334    -.0872273    .0297224
          8  |          0  (empty)
          9  |   .0303886   .0146003     2.08   0.038     .0016639    .0591133
         10  |  -.0596903   .0512397    -1.16   0.245    -.1604996     .041119
         11  |   .0407697   .0220766     1.85   0.066     -.002664    .0842034
         12  |   .0039041   .0159638     0.24   0.807    -.0275031    .0353112
             |
  year_group |
          5  |   -.128746   .0212715    -6.05   0.000    -.1705958   -.0868963
          6  |   .0039594   .0812005     0.05   0.961     -.155795    .1637137
          7  |  -.0387873   .0634511    -0.61   0.541    -.1636214    .0860468
          8  |  -.0291426   .0619181    -0.47   0.638    -.1509606    .0926754
          9  |  -.0352203   .0606924    -0.58   0.562    -.1546268    .0841863
         10  |  -.0316944   .0615306    -0.52   0.607      -.15275    .0893612
         11  |  -.0120924   .0649517    -0.19   0.852    -.1398787    .1156938
         12  |  -.0005737   .0641241    -0.01   0.993    -.1267318    .1255844
         13  |  -.0033925   .0676346    -0.05   0.960     -.136457    .1296721
             |
       _cons |   .3014685   .0631426     4.77   0.000     .1772414    .4256956
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,210    .2885448     .461565          0   2.258421
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(19, 320)        =  20.65
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9392
                                                    Adj R-squared     = 0.9168
                                                    Root MSE          = 0.1348

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   -.007118   .0280864    -0.25   0.800    -.0623754    .0481393
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0245248   .0994297     0.25   0.805    -.1710936    .2201432
          4  |   .0306975   .0309808     0.99   0.323    -.0302544    .0916493
          5  |   .0400518   .0333582     1.20   0.231    -.0255773    .1056808
          6  |   .0184178   .0370037     0.50   0.619    -.0543835     .091219
          7  |   .0551511   .0449105     1.23   0.220     -.033206    .1435081
          8  |          0  (empty)
          9  |   -.010405   .0431842    -0.24   0.810    -.0953658    .0745558
         10  |  -.0202721   .0364633    -0.56   0.579    -.0920102     .051466
         11  |   .0154223   .0362857     0.43   0.671    -.0559663    .0868109
         12  |   .0738035   .0798607     0.92   0.356    -.0833147    .2309218
             |
  year_group |
          5  |  -.1813786   .0247253    -7.34   0.000    -.2300233    -.132734
          6  |  -.4789538   .0698944    -6.85   0.000    -.6164644   -.3414431
          7  |   -.734515   .0664375   -11.06   0.000    -.8652245   -.6038054
          8  |  -.7017068   .0491288   -14.28   0.000     -.798363   -.6050505
          9  |  -.7158147   .0450389   -15.89   0.000    -.8044245   -.6272049
         10  |  -.7095396   .0473573   -14.98   0.000    -.8027106   -.6163687
         11  |  -.6294686   .0513869   -12.25   0.000    -.7305675   -.5283697
         12  |  -.6273566   .0502025   -12.50   0.000    -.7261253   -.5285878
         13  |  -.6209201   .0545717   -11.38   0.000    -.7282848   -.5135554
             |
       _cons |   .9229621   .0565794    16.31   0.000     .8116476    1.034277
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,210    .2906626    .4653666          0   1.994529
(780 missing values generated)
(780 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,210
Absorbed variable: factor_pair                      No. of categories =    308
                                                    F(19, 320)        =   3.86
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.7881
                                                    Adj R-squared     = 0.7099
                                                    Root MSE          = 0.2635

                        (Std. err. adjusted for 321 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0292947   .0545404    -0.54   0.592    -.1365978    .0780084
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .2508748   .2670674     0.94   0.348     -.274555    .7763045
          4  |   .0987293   .0378334     2.61   0.009     .0242956     .173163
          5  |   .0615106   .0510833     1.20   0.229     -.038991    .1620121
          6  |   .0486748    .064321     0.76   0.450    -.0778707    .1752203
          7  |   .0441614   .0692338     0.64   0.524    -.0920495    .1803723
          8  |          0  (empty)
          9  |    .108405   .0655309     1.65   0.099    -.0205209    .2373309
         10  |  -.0917698   .0687523    -1.33   0.183    -.2270334    .0434938
         11  |   .0705798   .0550289     1.28   0.201    -.0376844     .178844
         12  |   .1169205   .0720472     1.62   0.106    -.0248255    .2586665
             |
  year_group |
          5  |  -.0970661    .047317    -2.05   0.041    -.1901579   -.0039744
          6  |   .0636588   .1286078     0.49   0.621    -.1893648    .3166824
          7  |  -.3156458    .130276    -2.42   0.016    -.5719514   -.0593401
          8  |  -.3575227   .1142046    -3.13   0.002    -.5822095   -.1328359
          9  |  -.4423656   .0976166    -4.53   0.000     -.634417   -.2503143
         10  |  -.4177936   .1037626    -4.03   0.000    -.6219366   -.2136506
         11  |  -.3625193    .112437    -3.22   0.001    -.5837284   -.1413102
         12  |  -.3378989   .1097168    -3.08   0.002    -.5537564   -.1220415
         13  |  -.2941748   .1175228    -2.50   0.013    -.5253897   -.0629599
             |
       _cons |   .6139901   .1165751     5.27   0.000     .3846397    .8433405
------------------------------------------------------------------------------
(780 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,210         762           0        762        762

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,210    .3174434    .4852702          0    3.15317

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(762 missing values generated)
(762 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,228
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7765
                                                    Adj R-squared     = 0.6964
                                                    Root MSE          = 0.2149

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |    .016767   .0514842     0.33   0.745    -.0845271     .118061
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.266318   .1268588    -2.10   0.037    -.5159095   -.0167265
          4  |   .0599562   .0409906     1.46   0.145    -.0206918    .1406043
          5  |   .0031603   .0257421     0.12   0.902    -.0474867    .0538073
          6  |   .0494216   .0771318     0.64   0.522    -.1023333    .2011765
          7  |   .0810159   .0563006     1.44   0.151    -.0297541     .191786
          8  |          0  (empty)
          9  |   .0288401   .0464493     0.62   0.535    -.0625478    .1202279
         10  |   .0458493   .0808016     0.57   0.571    -.1131258    .2048244
         11  |   .1261101   .0504327     2.50   0.013     .0268851    .2253351
         12  |  -.0393931   .0414973    -0.95   0.343    -.1210381    .0422519
             |
  year_group |
          5  |          0  (empty)
          6  |  -.1582664   .0740444    -2.14   0.033     -.303947   -.0125857
          7  |   .1516877   .1024754     1.48   0.140    -.0499302    .3533056
          8  |   .1382755   .0740444     1.87   0.063    -.0074052    .2839561
          9  |   .1489332   .0813962     1.83   0.068    -.0112118    .3090782
         10  |   .2275345   .0809856     2.81   0.005     .0681973    .3868717
         11  |    .276977   .0910729     3.04   0.003     .0977933    .4561608
         12  |    .255119   .0837911     3.04   0.003     .0902621    .4199759
         13  |   .2318071   .0872051     2.66   0.008     .0602331    .4033811
             |
       _cons |  -.0371108    .085799    -0.43   0.666    -.2059182    .1316966
------------------------------------------------------------------------------
(762 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,228         752           0        752        752

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,228    .2135011    .3911311          0   2.696765
(762 missing values generated)
(762 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,228
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8231
                                                    Adj R-squared     = 0.7596
                                                    Root MSE          = 0.2297

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0007949   .0553777     0.01   0.989    -.1081594    .1097492
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0622316   .0718261    -0.87   0.387    -.2035477    .0790846
          4  |   .0518764    .031723     1.64   0.103    -.0105377    .1142906
          5  |   .0003974   .0276889     0.01   0.989    -.0540797    .0548746
          6  |  -.0390815   .0613633    -0.64   0.525    -.1598124    .0816494
          7  |   .0267464   .0524883     0.51   0.611    -.0765231    .1300159
          8  |          0  (empty)
          9  |   .0246143   .0342964     0.72   0.473     -.042863    .0920917
         10  |   .0190995   .0509516     0.37   0.708    -.0811464    .1193455
         11  |  -.0062752   .0372482    -0.17   0.866    -.0795602    .0670098
         12  |  -.0046655   .0267202    -0.17   0.862    -.0572369     .047906
             |
  year_group |
          5  |          0  (empty)
          6  |  -.2314298   .1975064    -1.17   0.242    -.6200189    .1571593
          7  |  -.3520257   .1992998    -1.77   0.078    -.7441432    .0400917
          8  |  -.2571419   .1975064    -1.30   0.194     -.645731    .1314471
          9  |  -.2269889   .2003924    -1.13   0.258    -.6212561    .1672783
         10  |  -.1913717   .1982877    -0.97   0.335    -.5814979    .1987546
         11  |  -.1107708   .2023556    -0.55   0.584    -.5089004    .2873589
         12  |  -.1615306   .1998588    -0.81   0.420    -.5547479    .2316868
         13  |  -.0564823   .2090172    -0.27   0.787    -.4677185    .3547539
             |
       _cons |    .400176    .199951     2.00   0.046     .0067774    .7935747
------------------------------------------------------------------------------
(762 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,228         752           0        752        752

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,228    .2358781    .4525421          0   4.424677
(762 missing values generated)
(762 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,228
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8436
                                                    Adj R-squared     = 0.7875
                                                    Root MSE          = 0.1937

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0321698   .0430394    -0.75   0.455    -.1168487    .0525091
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0736586   .0657619     1.12   0.264    -.0557263    .2030435
          4  |   .4249814   .0281536    15.10   0.000     .3695899    .4803729
          5  |   .3743681   .0215197    17.40   0.000     .3320286    .4167075
          6  |    .359505   .0433363     8.30   0.000      .274242     .444768
          7  |   .3615481   .0316521    11.42   0.000     .2992733    .4238229
          8  |          0  (empty)
          9  |   .3986998    .033569    11.88   0.000     .3326536    .4647459
         10  |   .5215067   .0433051    12.04   0.000      .436305    .6067083
         11  |   .4435329   .0346709    12.79   0.000     .3753188     .511747
         12  |  -.0513412     .06407    -0.80   0.424    -.1773973     .074715
             |
  year_group |
          5  |          0  (empty)
          6  |  -.4725823   .1958961    -2.41   0.016    -.8580031   -.0871614
          7  |  -.4788264   .2007165    -2.39   0.018    -.8737312   -.0839216
          8  |   -.424895   .1958961    -2.17   0.031    -.8103158   -.0394741
          9  |  -.4846676   .1981381    -2.45   0.015    -.8744996   -.0948357
         10  |  -.4789543   .1973608    -2.43   0.016     -.867257   -.0906517
         11  |  -.4921248   .1973656    -2.49   0.013    -.8804368   -.1038127
         12  |  -.4860691   .1980549    -2.45   0.015    -.8757373   -.0964008
         13  |  -.4751209   .1979902    -2.40   0.017    -.8646619   -.0855799
             |
       _cons |   .4556292   .1968722     2.31   0.021      .068288    .8429705
------------------------------------------------------------------------------
(762 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,228         752           0        752        752

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,228    .2486125    .4137378          0   3.509947
(762 missing values generated)
(762 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,228
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6643
                                                    Adj R-squared     = 0.5439
                                                    Root MSE          = 0.2042

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0499467   .0343981    -1.45   0.147    -.1176241    .0177307
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3415886   .2751124     1.24   0.215    -.1996884    .8828656
          4  |    .052206   .0335053     1.56   0.120    -.0137149    .1181268
          5  |   .0227653   .0171991     1.32   0.187    -.0110734     .056604
          6  |   .0484596   .0492561     0.98   0.326    -.0484506    .1453697
          7  |  -.0224247   .0301544    -0.74   0.458    -.0817527    .0369034
          8  |          0  (empty)
          9  |  -.0430092   .0348804    -1.23   0.218    -.1116355    .0256171
         10  |   .0157673   .0282813     0.56   0.578    -.0398755    .0714101
         11  |     .03825   .0292563     1.31   0.192    -.0193111    .0958111
         12  |   .0368903   .0431946     0.85   0.394     -.048094    .1218745
             |
  year_group |
          5  |          0  (empty)
          6  |   .5343659   .2816661     1.90   0.059    -.0198052    1.088537
          7  |   .2757208   .2855223     0.97   0.335    -.2860374     .837479
          8  |   .1799877   .2816661     0.64   0.523    -.3741834    .7341588
          9  |   .1545511   .2827566     0.55   0.585    -.4017656    .7108678
         10  |   .1575414   .2824825     0.56   0.577     -.398236    .7133189
         11  |     .15009   .2842493     0.53   0.598    -.4091635    .7093434
         12  |   .1280388   .2834192     0.45   0.652    -.4295815    .6856591
         13  |   .1414656   .2845363     0.50   0.619    -.4183527    .7012838
             |
       _cons |  -.0308615   .2802612    -0.11   0.912    -.5822685    .5205456
------------------------------------------------------------------------------
(762 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,228         752           0        752        752

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,228    .1372316     .302829          0    2.75362
(762 missing values generated)
(762 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,228
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8239
                                                    Adj R-squared     = 0.7607
                                                    Root MSE          = 0.2239

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0400211   .0465067     0.86   0.390    -.0514796    .1315218
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0355769   .0977318    -0.36   0.716     -.227862    .1567081
          4  |  -.0071866    .048513    -0.15   0.882    -.1026348    .0882615
          5  |   .0740241   .0232533     3.18   0.002     .0282737    .1197744
          6  |  -.1115252   .0867501    -1.29   0.200    -.2822039    .0591536
          7  |    .016607   .0652811     0.25   0.799     -.111832     .145046
          8  |          0  (empty)
          9  |   .0829303   .0863454     0.96   0.338    -.0869522    .2528128
         10  |  -.0487834   .0610037    -0.80   0.424    -.1688066    .0712399
         11  |  -.0867235   .0593902    -1.46   0.145    -.2035722    .0301252
         12  |  -.0067018   .0450705    -0.15   0.882    -.0953769    .0819734
             |
  year_group |
          5  |          0  (empty)
          6  |    .026959   .3617336     0.07   0.941    -.6847431     .738661
          7  |  -.2072047   .3693763    -0.56   0.575    -.9339435    .5195342
          8  |  -.1943231   .3617336    -0.54   0.592    -.9060251     .517379
          9  |  -.1059603   .3658418    -0.29   0.772    -.8257452    .6138245
         10  |  -.1226575   .3634498    -0.34   0.736    -.8377361    .5924211
         11  |   -.265869   .3645534    -0.73   0.466    -.9831189    .4513809
         12  |  -.2477113    .364295    -0.68   0.497    -.9644528    .4690302
         13  |   -.229708   .3645581    -0.63   0.529    -.9469671    .4875511
             |
       _cons |   .4345031   .3599095     1.21   0.228      -.27361    1.142616
------------------------------------------------------------------------------
(762 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,228         752           0        752        752

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,228    .2622845    .4623866          0    3.22733
(762 missing values generated)
(762 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,228
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9771
                                                    Adj R-squared     = 0.9689
                                                    Root MSE          = 0.0881

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0075825   .0153073     0.50   0.621    -.0225343    .0376993
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0192428   .0220678    -0.87   0.384    -.0626606    .0241751
          4  |   .0248315    .013896     1.79   0.075    -.0025085    .0521715
          5  |   .0240591   .0076537     3.14   0.002     .0090007    .0391175
          6  |   .0309001   .0376765     0.82   0.413    -.0432276    .1050278
          7  |  -.0163784   .0195737    -0.84   0.403    -.0548892    .0221324
          8  |          0  (empty)
          9  |   .0355985   .0131218     2.71   0.007     .0097816    .0614154
         10  |  -.0352812   .0450338    -0.78   0.434    -.1238841    .0533218
         11  |   .0389569   .0223557     1.74   0.082    -.0050275    .0829413
         12  |  -.0034193   .0106228    -0.32   0.748    -.0243194    .0174808
             |
  year_group |
          5  |          0  (empty)
          6  |   .0634118   .0499274     1.27   0.205    -.0348191    .1616427
          7  |   .0630588   .0509012     1.24   0.216    -.0370881    .1632057
          8  |   .0591191   .0499274     1.18   0.237    -.0391118    .1573501
          9  |   .0530394   .0512025     1.04   0.301    -.0477003     .153779
         10  |   .0400548   .0504447     0.79   0.428    -.0591939    .1393035
         11  |   .0420044   .0522893     0.80   0.422    -.0608735    .1448823
         12  |   .0716642    .053058     1.35   0.178    -.0327262    .1760545
         13  |   .0479595   .0537561     0.89   0.373    -.0578043    .1537232
             |
       _cons |   .2372072   .0515688     4.60   0.000     .1357468    .3386676
------------------------------------------------------------------------------
(762 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,228         752           0        752        752

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,228    .2915662    .4899891          0     3.5498
(762 missing values generated)
(762 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,228
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9501
                                                    Adj R-squared     = 0.9322
                                                    Root MSE          = 0.1260

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0356461   .0303694    -1.17   0.241    -.0953971     .024105
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.1640298   .1242869    -1.32   0.188    -.4085613    .0805017
          4  |   .0027995   .0224208     0.12   0.901    -.0413128    .0469118
          5  |   -.017823   .0151847    -1.17   0.241    -.0476985    .0120526
          6  |  -.0096453   .0357868    -0.27   0.788     -.080055    .0607644
          7  |  -.0223502   .0297307    -0.75   0.453    -.0808446    .0361442
          8  |          0  (empty)
          9  |  -.0091677   .0301261    -0.30   0.761      -.06844    .0501046
         10  |  -.0143237    .029828    -0.48   0.631    -.0730096    .0443623
         11  |   .0005144   .0402915     0.01   0.990    -.0787581    .0797869
         12  |    .031811   .0346861     0.92   0.360    -.0364331    .1000551
             |
  year_group |
          5  |          0  (empty)
          6  |  -.5120796   .1040676    -4.92   0.000    -.7168302   -.3073291
          7  |  -.5876464   .1119133    -5.25   0.000     -.807833   -.3674597
          8  |  -.5975954   .1040676    -5.74   0.000    -.8023459   -.3928448
          9  |  -.5946909   .1064213    -5.59   0.000    -.8040721   -.3853096
         10  |  -.5619783   .1053524    -5.33   0.000    -.7692565      -.3547
         11  |  -.5564584    .105279    -5.29   0.000    -.7635924   -.3493245
         12  |  -.5581955   .1045077    -5.34   0.000     -.763812   -.3525791
         13  |  -.5473945   .1057818    -5.17   0.000    -.7555177   -.3392713
             |
       _cons |   .8788288   .1066765     8.24   0.000     .6689454    1.088712
------------------------------------------------------------------------------
(762 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,228         752           0        752        752

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,228    .2849558    .4716992          0   3.387802
(762 missing values generated)
(762 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 5.year_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,228
Absorbed variable: factor_pair                      No. of categories =    307
                                                    F(17, 317)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7985
                                                    Adj R-squared     = 0.7262
                                                    Root MSE          = 0.2617

                        (Std. err. adjusted for 318 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0112262   .0502157     0.22   0.823     -.087572    .1100244
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .3536745   .1929855     1.83   0.068    -.0260197    .7333687
          4  |   -.035766   .0444662    -0.80   0.422    -.1232522    .0517202
          5  |   .0051761   .0251079     0.21   0.837     -.044223    .0545752
          6  |   .0074964   .0646782     0.12   0.908    -.1197565    .1347492
          7  |  -.1402122   .0559779    -2.50   0.013    -.2503474   -.0300771
          8  |          0  (empty)
          9  |   .1174758   .0673169     1.75   0.082    -.0149687    .2499202
         10  |  -.1465468   .0669625    -2.19   0.029    -.2782939   -.0147997
         11  |  -.0323876   .0472309    -0.69   0.493    -.1253131     .060538
         12  |   .1464851   .0470781     3.11   0.002       .05386    .2391102
             |
  year_group |
          5  |          0  (empty)
          6  |   .1751899   .1796143     0.98   0.330    -.1781969    .5285766
          7  |   .0173754   .1933035     0.09   0.928    -.3629445    .3976953
          8  |  -.0511412   .1796143    -0.28   0.776    -.4045279    .3022456
          9  |  -.0230508   .1848757    -0.12   0.901    -.3867892    .3406876
         10  |   -.000781   .1841151    -0.00   0.997    -.3630231    .3614611
         11  |  -.1146094   .1860706    -0.62   0.538    -.4806988    .2514801
         12  |  -.0290784   .1872375    -0.16   0.877    -.3974636    .3393068
         13  |  -.0112151   .1887311    -0.06   0.953     -.382539    .3601088
             |
       _cons |   .3315873   .1840909     1.80   0.073     -.030607    .6937816
------------------------------------------------------------------------------
(762 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,228         752           0        752        752

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,228      .31151    .4841399          0     2.7925

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,990  (_merge==3)
    -----------------------------------------
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(0, 311)         =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7623
                                                    Adj R-squared     = 0.6755
                                                    Root MSE          = 0.2102

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_no~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0074863          .        .       .            .           .
             |
 scale_group |
          2  |          0  (omitted)
          3  |   -.085001          .        .       .            .           .
          4  |   .0343591          .        .       .            .           .
          5  |  -.0584745          .        .       .            .           .
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |   .0840137          .        .       .            .           .
          9  |  -.0406474          .        .       .            .           .
         10  |          0  (empty)
         11  |   .0839423          .        .       .            .           .
         12  |  -.0445474          .        .       .            .           .
             |
  year_group |
          5  |   .0586429          .        .       .            .           .
          6  |  -.0739077          .        .       .            .           .
          7  |   .0054204          .        .       .            .           .
          8  |   .0210884          .        .       .            .           .
          9  |   .0544235          .        .       .            .           .
         10  |   .0610962          .        .       .            .           .
         11  |   .1249817          .        .       .            .           .
         12  |   .1370305          .        .       .            .           .
         13  |   .0840917          .        .       .            .           .
             |
       _cons |   .1176862          .        .       .            .           .
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_no~e |      1,258    .1956313    .3777445          0   2.654762
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(15, 311)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8322
                                                    Adj R-squared     = 0.7710
                                                    Root MSE          = 0.2016

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_le~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0451481   .0504605     0.89   0.372    -.0541391    .1444353
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0298719   .0515931     0.58   0.563    -.0716438    .1313875
          4  |  -.0332955   .0307117    -1.08   0.279    -.0937245    .0271335
          5  |  -.0753118   .0324022    -2.32   0.021     -.139067   -.0115566
          6  |  -.0403951   .0600471    -0.67   0.502     -.158545    .0777548
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |  -.0481655   .0336401    -1.43   0.153    -.1143565    .0180254
         10  |          0  (empty)
         11  |  -.0474476   .0464309    -1.02   0.308    -.1388061    .0439108
         12  |   .0361781   .0382551     0.95   0.345    -.0390935    .1114497
             |
  year_group |
          5  |   -.394098          .        .       .            .           .
          6  |   5.96e-08          .        .       .            .           .
          7  |   .0700126   .0509123     1.38   0.170    -.0301635    .1701886
          8  |   .1445786   .0557496     2.59   0.010     .0348846    .2542726
          9  |   .1657886   .0577587     2.87   0.004     .0521414    .2794358
         10  |   .2264603   .0595001     3.81   0.000     .1093865     .343534
         11  |   .3073449   .0665014     4.62   0.000     .1764953    .4381945
         12  |   .2113024   .0628386     3.36   0.001     .0876597     .334945
         13  |   .3621023   .0825154     4.39   0.000     .1997432    .5244613
             |
       _cons |   .0244297   .0653271     0.37   0.709    -.1041092    .1529686
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_le~e |      1,258    .2350542    .4221245          0   2.792312
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(16, 311)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7272
                                                    Adj R-squared     = 0.6277
                                                    Root MSE          = 0.2351

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_do~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0300776   .0451828     0.67   0.506     -.058825    .1189802
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0157044   .0866778     0.18   0.856    -.1548446    .1862535
          4  |   .0750617   .0351659     2.13   0.034     .0058686    .1442548
          5  |   .0605765   .0401946     1.51   0.133    -.0185113    .1396643
          6  |   .0271955   .0517282     0.53   0.599    -.0745859    .1289769
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0548504   .0499442     1.10   0.273    -.0434209    .1531217
         10  |          0  (empty)
         11  |   .0570576    .039793     1.43   0.153    -.0212401    .1353552
         12  |  -.0433898   .0479866    -0.90   0.367    -.1378093    .0510297
             |
  year_group |
          5  |   .1335567   .0752271     1.78   0.077    -.0144616    .2815751
          6  |  -.6414485   .0752271    -8.53   0.000    -.7894669   -.4934301
          7  |  -.6139021   .1339425    -4.58   0.000    -.8774501   -.3503541
          8  |  -.6059554   .1350339    -4.49   0.000    -.8716509   -.3402599
          9  |  -.6678697   .1317805    -5.07   0.000    -.9271637   -.4085757
         10  |  -.6524762   .1340325    -4.87   0.000    -.9162014   -.3887509
         11  |  -.6950846   .1346382    -5.16   0.000    -.9600017   -.4301676
         12  |  -.6548337   .1340938    -4.88   0.000    -.9186795    -.390988
         13  |  -.6536599   .1347397    -4.85   0.000    -.9187765   -.3885432
             |
       _cons |   .8335959    .134433     6.20   0.000     .5690826    1.098109
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_do~e |      1,258    .2690705    .4310917          0   3.433898
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(16, 311)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.6572
                                                    Adj R-squared     = 0.5321
                                                    Root MSE          = 0.2107

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_st~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0085309   .0494908     0.17   0.863    -.0888483    .1059101
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0361912   .1647007     0.22   0.826    -.2878773    .3602596
          4  |   .1318012   .0412073     3.20   0.002     .0507209    .2128816
          5  |   .1187134   .0413031     2.87   0.004     .0374446    .1999823
          6  |   .1791828   .0510712     3.51   0.001     .0786941    .2796715
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0928259   .0471522     1.97   0.050     .0000482    .1856035
         10  |          0  (empty)
         11  |   .1543182   .0438938     3.52   0.001     .0679519    .2406845
         12  |  -.0401693   .0328902    -1.22   0.223    -.1048848    .0245462
             |
  year_group |
          5  |   .0285795   .1607185     0.18   0.859    -.2876536    .3448126
          6  |   .4955362   .1607185     3.08   0.002     .1793031    .8117693
          7  |   .4579488   .1709102     2.68   0.008     .1216623    .7942354
          8  |   .4043175   .1680597     2.41   0.017     .0736397    .7349953
          9  |   .4128617   .1667389     2.48   0.014     .0847827    .7409408
         10  |   .3845251    .166516     2.31   0.022     .0568847    .7121655
         11  |   .3970317   .1678307     2.37   0.019     .0668045     .727259
         12  |   .4041465   .1669271     2.42   0.016     .0756973    .7325957
         13  |   .3560588   .1683107     2.12   0.035     .0248871    .6872304
             |
       _cons |  -.3449785   .1687023    -2.04   0.042    -.6769207   -.0130363
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_st~e |      1,258    .1436642    .3245623          0   3.010435
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 8.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(16, 311)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.7877
                                                    Adj R-squared     = 0.7102
                                                    Root MSE          = 0.2500

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_dr~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0422285   .0432469     0.98   0.330     -.042865     .127322
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .1247893   .0701405     1.78   0.076    -.0132206    .2627992
          4  |   .0476711   .0477256     1.00   0.319    -.0462348    .1415771
          5  |    .115247   .0564169     2.04   0.042     .0042399     .226254
          6  |  -.0968897   .0741669    -1.31   0.192    -.2428221    .0490427
          7  |          0  (empty)
          8  |          0  (omitted)
          9  |   .0906914   .0764289     1.19   0.236    -.0596916    .2410745
         10  |          0  (empty)
         11  |  -.0188923   .0490174    -0.39   0.700      -.11534    .0775555
         12  |   .0257757   .0470143     0.55   0.584    -.0667306     .118282
             |
  year_group |
          5  |   .0915547   .1836878     0.50   0.619    -.2698733    .4529827
          6  |    .111003   .1836878     0.60   0.546     -.250425    .4724309
          7  |  -.4675495   .4239422    -1.10   0.271    -1.301707    .3666081
          8  |  -.2817952   .4237445    -0.67   0.507    -1.115564    .5519734
          9  |  -.2719519   .4257744    -0.64   0.523    -1.109715    .5658109
         10  |  -.2421913   .4272817    -0.57   0.571     -1.08292    .5985371
         11  |  -.3848631   .4289122    -0.90   0.370      -1.2288    .4590736
         12  |  -.3797597   .4329599    -0.88   0.381    -1.231661    .4721413
         13  |  -.3374699    .429195    -0.79   0.432    -1.181963    .5070232
             |
       _cons |   .5104533   .4223837     1.21   0.228    -.3206379    1.341544
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_dr~e |      1,258    .2626171    .4785503          0   3.668565
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(16, 311)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9687
                                                    Adj R-squared     = 0.9572
                                                    Root MSE          = 0.1012

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_me~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0013558   .0207036    -0.07   0.948    -.0420925     .039381
             |
 scale_group |
          2  |          0  (omitted)
          3  |  -.0191884   .0307224    -0.62   0.533    -.0796384    .0412617
          4  |  -.0339288   .0647318    -0.52   0.601    -.1612964    .0934388
          5  |  -.0580288   .0695684    -0.83   0.405     -.194913    .0788554
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |  -.0711916   .0618571    -1.15   0.251     -.192903    .0505199
          9  |  -.0409602   .0766232    -0.53   0.593    -.1917257    .1098053
         10  |          0  (empty)
         11  |  -.0608976   .0682152    -0.89   0.373    -.1951192    .0733239
         12  |     .00425   .0146484     0.29   0.772    -.0245726    .0330726
             |
  year_group |
          5  |  -.1224085   .0329158    -3.72   0.000    -.1871743   -.0576427
          6  |   .1195689   .0329158     3.63   0.000     .0548031    .1843347
          7  |   .0849984   .1087659     0.78   0.435    -.1290117    .2990085
          8  |   .0710192   .1078521     0.66   0.511    -.1411929    .2832312
          9  |   .0784064   .1079522     0.73   0.468    -.1340027    .2908155
         10  |   .0399299   .1075202     0.37   0.711    -.1716292     .251489
         11  |    .070698   .1117093     0.63   0.527    -.1491036    .2904996
         12  |   .0453718    .109192     0.42   0.678    -.1694766    .2602203
         13  |   .0588634   .1106152     0.53   0.595    -.1587854    .2765121
             |
       _cons |   .2897092   .1003941     2.89   0.004     .0921716    .4872468
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_me~e |      1,258    .2957281    .4747026          0   3.315057
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(16, 311)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9500
                                                    Adj R-squared     = 0.9317
                                                    Root MSE          = 0.1238

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_sh~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |  -.0303265   .0317268    -0.96   0.340    -.0927528    .0320998
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0394259   .0847929     0.46   0.642    -.1274145    .2062663
          4  |   .0144232   .0278862     0.52   0.605    -.0404462    .0692926
          5  |   .0139201   .0328288     0.42   0.672    -.0506746    .0785148
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |   .0090664   .0369627     0.25   0.806    -.0636621     .081795
          9  |   .0190378   .0380604     0.50   0.617    -.0558507    .0939262
         10  |          0  (empty)
         11  |  -.0149931    .032391    -0.46   0.644    -.0787263      .04874
         12  |   .0264542   .0533301     0.50   0.620    -.0784792    .1313875
             |
  year_group |
          5  |  -.2668638   .0541621    -4.93   0.000    -.3734343   -.1602934
          6  |  -.6550217   .0541621   -12.09   0.000    -.7615921   -.5484512
          7  |  -.8028719   .1575389    -5.10   0.000    -1.112849    -.492895
          8  |   -.778977   .1488025    -5.23   0.000    -1.071764     -.48619
          9  |  -.7733098   .1481612    -5.22   0.000    -1.064835   -.4817846
         10  |  -.7552334   .1494167    -5.05   0.000    -1.049229    -.461238
         11  |  -.7133702   .1484898    -4.80   0.000    -1.005542   -.4211984
         12  |  -.7117631   .1477609    -4.82   0.000    -1.002501   -.4210255
         13  |  -.7311902   .1493172    -4.90   0.000     -1.02499   -.4373905
             |
       _cons |   1.037242   .1381642     7.51   0.000     .7653869    1.309097
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_sh~e |      1,258     .279196    .4632706          0   3.452387
(732 missing values generated)
(732 missing values generated)
(sum of wgt is 1,215.00000488758)
note: 2.scale_group omitted because of collinearity
note: 6.scale_group omitted because of collinearity
note: 7.scale_group omitted because of collinearity
note: 10.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,258
Absorbed variable: factor_pair                      No. of categories =    320
                                                    F(16, 311)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.8333
                                                    Adj R-squared     = 0.7725
                                                    Root MSE          = 0.2315

                        (Std. err. adjusted for 312 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
predict_al~e | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .0414782   .0444179     0.93   0.351    -.0459194    .1288758
             |
 scale_group |
          2  |          0  (omitted)
          3  |   .0744707    .102283     0.73   0.467    -.1267835     .275725
          4  |  -.0350537   .0563604    -0.62   0.534    -.1459497    .0758423
          5  |  -.0160373   .0630889    -0.25   0.800    -.1401724    .1080978
          6  |          0  (omitted)
          7  |          0  (empty)
          8  |  -.0860858   .0557026    -1.55   0.123    -.1956874    .0235158
          9  |   .0167974   .0765206     0.22   0.826    -.1337662    .1673611
         10  |          0  (empty)
         11  |  -.0477076   .0628928    -0.76   0.449    -.1714568    .0760416
         12  |   .0599363   .0421546     1.42   0.156     -.023008    .1428806
             |
  year_group |
          5  |  -.0417333   .0875162    -0.48   0.634     -.213932    .1304655
          6  |  -.0277045   .0875162    -0.32   0.752    -.1999032    .1444943
          7  |  -.2695059   .2735789    -0.99   0.325    -.8078056    .2687939
          8  |  -.3278439   .2699919    -1.21   0.226    -.8590856    .2033979
          9  |  -.3130157   .2667095    -1.17   0.241    -.8377989    .2117675
         10  |  -.2807274   .2698295    -1.04   0.299    -.8116496    .2501948
         11  |  -.2800446   .2714818    -1.03   0.303    -.8142179    .2541286
         12  |  -.3028215    .274203    -1.10   0.270     -.842349    .2367061
         13  |  -.2512031   .2728047    -0.92   0.358    -.7879794    .2855731
             |
       _cons |   .5941774   .2499582     2.38   0.018     .1023543    1.086001
------------------------------------------------------------------------------
(732 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,258         749           0        749        749

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
predict_al~e |      1,258    .3136749     .481716          0   3.162751

. 
. clear

. svmat prediction_bstrap
number of observations will be reset to 100
Press any key to continue, or Break to abort
Number of observations (_N) was 0, now 100.

. collapse (sd) prediction*

. mkmat *, matrix(prediction_se)

. 
. matrix prediction_bstrap = prediction[1,1...] \ prediction_se \ prediction[3,1...] \ prediction[4,1...] \ prediction[5,1...]

. matrix list prediction_bstrap

prediction_bstrap[5,8]
            c1          c2          c3          c4          c5          c6          c7          c8
r1  -.00953746   -.0083439   .02084615  -.02749787   .04423306   .00504738  -.02147564   .00566893
r1   .03616427   .03506816   .02696615   .03026862   .02654612   .01375218   .02216673   .03629519
r3   .21806267   .25932371   .20121207     .128898   .35074698    .3308481   .32388639           .
r4   .21234238   .23842352   .22443502    .1094285   .25523082   .29580857   .28749782   .32083717
r5        1215        1215        1215        1215        1215        1215        1215        1215

.  
. matrix_to_txt, saving(../tables/table5.txt) mat(prediction_bstrap) ///
>         format(%20.4f) title(<tab:table5>) append               
(file ../tables/table5.txt not found)

.         
. ****************
. ** Table 6  ****
. ****************
. 
. clear matrix

. use "../derived/Combined/combined_pair_level.dta", clear

. 
. gen published = year!=.

. 
. foreach outcome in published {
  2.         summ `outcome'
  3.         local mean `r(mean)'
  4.         
.         areg `outcome' stdz_outcome_relative_all i.scale_group  [aw=weight] if sponsor==1, a(factor) cluster(cluster_group)
  5.         egen total = total(weight) if e(sample)==1
  6.         summ total
  7.         matrix published = nullmat(published), ////
>                 (_b[stdz_outcome_relative_all] \ _se[stdz_outcome_relative_all] \ `mean' \ `r(mean)' )
  8. 
.         areg `outcome' stdz_outcome_relative_all i.scale_group  [aw=weight] if sponsor==0, a(factor) cluster(cluster_group)
  9.         drop total
 10.         egen total = total(weight) if e(sample)==1
 11.         summ total
 12.         matrix published = nullmat(published), ////
>                 (_b[stdz_outcome_relative_all] \ _se[stdz_outcome_relative_all] \ `mean' \ `r(mean)' )
 13. 
. }

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
   published |      2,332    .8533448    .3538378          0          1
(sum of wgt is 681.0000031739473)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,183
Absorbed variable: factor_pair                      No. of categories =    229
                                                    F(10, 504)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.4117
                                                    Adj R-squared     = 0.2627
                                                    Root MSE          = 0.3076

                                     (Std. err. adjusted for 505 clusters in cluster_group)
-------------------------------------------------------------------------------------------
                          |               Robust
                published | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
stdz_outcome_relative_all |   .1493979   .0290582     5.14   0.000     .0923079     .206488
                          |
              scale_group |
                       2  |          0  (omitted)
                       3  |   .4229857   .2446021     1.73   0.084    -.0575797    .9035511
                       4  |    .692612   .1446164     4.79   0.000     .4084868    .9767372
                       5  |   .6394669   .1392111     4.59   0.000     .3659615    .9129724
                       6  |   .7488268   .2016595     3.71   0.000     .3526301    1.145024
                       7  |   .7625256   .1724204     4.42   0.000     .4237744    1.101277
                       8  |   .8541374    .168912     5.06   0.000     .5222791    1.185996
                       9  |   .5371113   .1664376     3.23   0.001     .2101144    .8641082
                      10  |   1.055134   .1865648     5.66   0.000     .6885931    1.421674
                      11  |    .759472    .169735     4.47   0.000     .4259968    1.092947
                      12  |  -.0052186   .0233244    -0.22   0.823    -.0510437    .0406065
                          |
                    _cons |   .2344357   .1098451     2.13   0.033      .018625    .4502464
-------------------------------------------------------------------------------------------
(1,149 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,183         681           0        681        681
(sum of wgt is 731.0000026673079)
note: 2.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,149
Absorbed variable: factor_pair                      No. of categories =    224
                                                    F(10, 550)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.2776
                                                    Adj R-squared     = 0.0926
                                                    Root MSE          = 0.3188

                                     (Std. err. adjusted for 551 clusters in cluster_group)
-------------------------------------------------------------------------------------------
                          |               Robust
                published | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
stdz_outcome_relative_all |   .0286101   .0330747     0.87   0.387     -.036358    .0935782
                          |
              scale_group |
                       2  |          0  (omitted)
                       3  |   .0587564   .0606551     0.97   0.333    -.0603875    .1779003
                       4  |   .7027955   .1794998     3.92   0.000     .3502065    1.055384
                       5  |   .6627759   .1747369     3.79   0.000     .3195425    1.006009
                       6  |   .8173209    .189383     4.32   0.000     .4453184    1.189323
                       7  |   .8325312   .1841579     4.52   0.000     .4707922     1.19427
                       8  |   .8521133   .1832632     4.65   0.000     .4921318    1.212095
                       9  |   .5220018   .2047799     2.55   0.011     .1197554    .9242482
                      10  |   1.098856   .2145659     5.12   0.000     .6773871    1.520325
                      11  |   .7942212   .1891413     4.20   0.000     .4226935    1.165749
                      12  |  -.0076911     .00789    -0.97   0.330    -.0231894    .0078072
                          |
                    _cons |   .3468602   .1323306     2.62   0.009     .0869249    .6067954
-------------------------------------------------------------------------------------------
(1,183 missing values generated)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,149         731           0        731        731

. matrix list published

published[4,2]
           c1         c2
r1  .14939795  .02861011
r2  .02905815  .03307466
r3  .85334477  .85334477
r4        681        731

. matrix_to_txt, saving(../tables/table6.txt) mat(published) ///
>         format(%20.4f) title(<tab:table6>) append
(file ../tables/table6.txt not found)

. 
.         
.         
. ****************
. ** Table 7 ****
. ****************
. 
. clear matrix

. use "../derived/Combined/combined_pair_level.dta", clear

. merge m:1 studyname using "../derived/NCT_registry/registry_link.dta", ///
>         keepusing(linked) nogen

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             2,332  
    -----------------------------------------

. gen post = year>=2006 & year!=.

. keep if year!=.
(342 observations deleted)

. 
. summ new_relative

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
new_relative |      1,990    .3314665    .5258467  -1.557476   3.818327

. local mean `r(mean)'

.                 
. areg new_relative sponsor i.scale_group i.year_group  [aw=weight] if linked!=., a(factor) cluster(cluster_group)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(19, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5704
                                                    Adj R-squared     = 0.4656
                                                    Root MSE          = 0.4108

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     sponsor |   .1710208   .0517406     3.31   0.001     .0693688    .2726728
             |
 scale_group |
          2  |  -.1297064   .0998713    -1.30   0.195    -.3259181    .0665053
          3  |          0  (omitted)
          4  |  -.2227134    .208968    -1.07   0.287    -.6332612    .1878345
          5  |  -.1810689   .2106724    -0.86   0.390    -.5949652    .2328275
          6  |  -.2055737   .2203947    -0.93   0.351     -.638571    .2274236
          7  |   .0874362   .2218864     0.39   0.694    -.3484918    .5233643
          8  |  -.2170886   .2218864    -0.98   0.328    -.6530166    .2188394
          9  |  -.0175081    .226913    -0.08   0.939    -.4633115    .4282953
         10  |  -.0803126   .2488714    -0.32   0.747    -.5692565    .4086313
         11  |  -.1706928   .2149728    -0.79   0.428    -.5930379    .2516523
         12  |   .0031565   .0936939     0.03   0.973    -.1809187    .1872318
             |
  year_group |
          5  |   -.262233    .065009    -4.03   0.000    -.3899527   -.1345133
          6  |  -.1879515   .3518104    -0.53   0.593     -.879134    .5032309
          7  |   .0706612   .2178136     0.32   0.746    -.3572651    .4985875
          8  |  -.0573615   .1765673    -0.32   0.745    -.4042535    .2895305
          9  |  -.1036738   .1702148    -0.61   0.543    -.4380854    .2307379
         10  |  -.1444358   .1744266    -0.83   0.408    -.4871222    .1982505
         11  |  -.2028943   .1765153    -1.15   0.251    -.5496842    .1438955
         12  |  -.1639057   .1778609    -0.92   0.357    -.5133392    .1855277
         13  |  -.1397409   .1803751    -0.77   0.439    -.4941139    .2146321
             |
       _cons |   .5544948   .2339927     2.37   0.018     .0947823    1.014207
------------------------------------------------------------------------------

. egen total = total(weight) if e(sample)==1

. summ total

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

. matrix linked = nullmat(linked), (_b[sponsor] \ _se[sponsor] \ .\.\.\.\.\.\.\.\ `mean' \ `r(mean)' )

. drop total

. 
. areg new_relative i.sponsor##i.post i.year_group i.scale_group [aw=weight], a(factor) cluster(cluster_group)
(sum of wgt is 1,215.00000488758)
note: 13.year_group omitted because of collinearity.
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(20, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5723
                                                    Adj R-squared     = 0.4677
                                                    Root MSE          = 0.4100

                        (Std. err. adjusted for 509 clusters in cluster_group)
------------------------------------------------------------------------------
             |               Robust
new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
   1.sponsor |   .2207429   .0592361     3.73   0.000     .1043651    .3371207
      1.post |  -.0837553   .1781884    -0.47   0.639    -.4338321    .2663216
             |
sponsor#post |
        1 1  |  -.1551248   .0675518    -2.30   0.022      -.28784   -.0224095
             |
  year_group |
          5  |   -.262233   .0650294    -4.03   0.000    -.3899926   -.1344733
          6  |  -.1838953   .3516355    -0.52   0.601    -.8747342    .5069435
          7  |   .0693887   .2176272     0.32   0.750    -.3581714    .4969487
          8  |  -.0614333   .1765059    -0.35   0.728    -.4082046     .285338
          9  |  -.1027477   .1699283    -0.60   0.546    -.4365965    .2311011
         10  |  -.1462724   .1742685    -0.84   0.402    -.4886482    .1961034
         11  |  -.2050674   .1763509    -1.16   0.245    -.5515343    .1413996
         12  |   -.014926   .0458675    -0.33   0.745    -.1050393    .0751873
         13  |          0  (omitted)
             |
 scale_group |
          2  |  -.1347564   .1050882    -1.28   0.200    -.3412174    .0717046
          3  |          0  (omitted)
          4  |  -.2089736    .215751    -0.97   0.333    -.6328476    .2149004
          5  |  -.1694571   .2173879    -0.78   0.436    -.5965472    .2576329
          6  |  -.1944646   .2266412    -0.86   0.391     -.639734    .2508047
          7  |   .1048785   .2280617     0.46   0.646    -.3431818    .5529387
          8  |  -.1996464   .2280617    -0.88   0.382    -.6477066    .2484138
          9  |  -.0144514   .2332693    -0.06   0.951    -.4727427      .44384
         10  |  -.0627645   .2536236    -0.25   0.805    -.5610448    .4355159
         11  |  -.1615887   .2213018    -0.73   0.466    -.5963681    .2731906
         12  |  -.0007674   .0983343    -0.01   0.994    -.1939593    .1924245
             |
       _cons |   .5290105    .236713     2.23   0.026     .0639535    .9940674
------------------------------------------------------------------------------

. egen total = total(weight) if e(sample)==1

. summ total

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

. matrix linked = nullmat(linked), (_b[1.sponsor] \ _se[1.sponsor] \ _b[1.post] \ ////
>         _se[1.post] \ _b[1.sponsor#1.post] \ _se[1.sponsor#1.post] \.\.\.\.\ `mean' \ `r(mean)')

. drop total

. 
. areg new_relative i.sponsor##i.linked i.year_group i.scale_group [aw=weight], a(factor) cluster(cluster_group)
(sum of wgt is 1,215.00000488758)
note: 3.scale_group omitted because of collinearity

Linear regression, absorbing indicators             Number of obs     =  1,990
Absorbed variable: factor_pair                      No. of categories =    371
                                                    F(21, 508)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.5717
                                                    Adj R-squared     = 0.4666
                                                    Root MSE          = 0.4105

                          (Std. err. adjusted for 509 clusters in cluster_group)
--------------------------------------------------------------------------------
               |               Robust
  new_relative | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
     1.sponsor |   .1903099   .0533674     3.57   0.000     .0854619     .295158
      1.linked |   .0529044   .0446797     1.18   0.237    -.0348753    .1406841
               |
sponsor#linked |
          1 1  |  -.1896081   .1033806    -1.83   0.067    -.3927142     .013498
               |
    year_group |
            5  |   -.262233   .0650497    -4.03   0.000    -.3900326   -.1344333
            6  |  -.1927243   .3517505    -0.55   0.584     -.883789    .4983405
            7  |   .0707233   .2184134     0.32   0.746    -.3583814     .499828
            8  |  -.0569792   .1773248    -0.32   0.748    -.4053594     .291401
            9  |  -.1023131   .1709763    -0.60   0.550    -.4382208    .2335946
           10  |  -.1427667   .1751506    -0.82   0.415    -.4868755    .2013421
           11  |  -.1979816   .1770466    -1.12   0.264    -.5458153    .1498521
           12  |  -.1511352   .1787615    -0.85   0.398    -.5023381    .2000677
           13  |  -.1362481   .1824114    -0.75   0.455    -.4946217    .2221255
               |
   scale_group |
            2  |  -.1326462   .1022616    -1.30   0.195    -.3335539    .0682614
            3  |          0  (omitted)
            4  |  -.2146756   .2113328    -1.02   0.310    -.6298695    .2005183
            5  |  -.1754014   .2130223    -0.82   0.411    -.5939146    .2431118
            6  |  -.1981201   .2223373    -0.89   0.373    -.6349339    .2386937
            7  |   .0946481   .2241104     0.42   0.673    -.3456491    .5349453
            8  |  -.2098767   .2241104    -0.94   0.349     -.650174    .2304205
            9  |   -.012138   .2291975    -0.05   0.958    -.4624296    .4381536
           10  |   -.087995   .2507542    -0.35   0.726     -.580638    .4046479
           11  |  -.1567191   .2170659    -0.72   0.471    -.5831765    .2697384
           12  |  -.0006714   .0958541    -0.01   0.994    -.1889907    .1876479
               |
         _cons |   .5407343    .235233     2.30   0.022      .078585    1.002884
--------------------------------------------------------------------------------

. egen total = total(weight) if e(sample)==1

. summ total

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
       total |      1,990        1215           0       1215       1215

. matrix linked = nullmat(linked), (_b[1.sponsor] \ _se[1.sponsor] \ .\.\.\.\ _b[1.linked] \ ////
>         _se[1.linked] \ _b[1.sponsor#1.linked] \ _se[1.sponsor#1.linked] \ `mean' \ `r(mean)' )

.                 
. 
. matrix list linked

linked[12,3]
             c1          c2          c3
 r1   .17102076   .22074285   .19030991
 r2   .05174065   .05923605   .05336744
 r3           .  -.08375528           .
 r4           .   .17818837           .
 r5           .  -.15512476           .
 r6           .   .06755176           .
 r7           .           .   .05290441
 r8           .           .   .04467969
 r9           .           .  -.18960809
r10           .           .   .10338057
r11   .33146654   .33146654   .33146654
r12        1215        1215        1215

. matrix_to_txt, saving(../tables/table7.txt) mat(linked) ///
>         format(%20.4f) title(<tab:table7>) append
(file ../tables/table7.txt not found)

.         
. 
end of do-file

. exit, clear
